Open IoT Challenge 3.0 - Public List of Submissions
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Open IoT Challenge 3.0 - List of Proposals
(Some proposals are not listed as requested by the submitter)
SubmitterCompanyDescription of the solutionHardware parts involvedProposed technology to be used (Eclipse projects, hardware, standards, etc.)
Tom MoroczEneristicsEneristics – RHDS is SMART ENERGY IoT solution for performing Residential Home Diagnostics. The Solution allows Homeowners and/or Service organization to monitor, self-diagnose and optimize energy consumption related to Heating and Cooling. The system goal is to promote efficient energy management at the consumer level in support of Smart Cities which are greener and more sustainable.

The Problem: In a typical home, heating and cooling accounts for more than half of the energy use, making it the largest expense for most home owners. Simultaneously, governments are raising the bar for compliance with energy standards and reduction in carbon footprints. Calling in an expert to perform an energy audit can cost between $300- $500 per visit.

The Solution: The goal of this project is to demonstrate how the combined power of using open standards/open source technology with specific domain knowledge (Building Sciences) can make it easy to build an IoT solution for the Smart Energy market.

RHDS will (1) track the efficiency of a home’s Building Envelope (thermal performance) by consistently measuring the time it takes to heat a building up to a given temperature above the outside temperature; vice versa for cooling (2) manage the end points (3) monitor environmental conditions. By exposing this information, thru analytics / reporting, a Home Owner or Service Organization can:
a) Determine a households suitability for retrofit work which would result in energy savings and a carbon reduction of potentially 60-80%;
b) Validate energy savings retrofit work thru “after the work is done” performance improvement monitoring;
c) Verify HVAC (Heating, Ventilation and Air Conditioning) system sizing, an over or undersized condition based on actual performance;
d) Detect HVAC and supporting control systems operational faults, such as no heat;
e) Improve homeowner comfort;
f) See the value of using Smart Home products towards lowering energy consumption and improving the indoor environment.

System description: The plan is to essentially build an IoT Device Management solution which will monitor (Thermal Performance) and manage a large fleet of devices (Home HVAC Systems) in a secure fashion. To measure the temperature and humidity we will use TI Sensortags (indoor) and Internet available weather data (outdoor). For monitoring the HVAC system an NXP microcontroller will be used. The IoT gateway platform will use Kura to move sensor data (MQTT) to the cloud (EuroTech Device Cloud). LESHAN (LWM2M) will be used for end point Device Management of the HVAC NXP microcontroller. The End user and Service application will interface using (Home Assistant or Phone Gap). The project development challenge is to use only open standards and open source technology.
1 * Raspberry Pi 2 Model B ($35);
1 * Raspberry Pi 3 ($35);
2 * Pi Power Adapter ($14);
2 * Pi Flash 8G ($14);
1* Pi BLE Dongle ($14);
2 * Pi Case ($14);
1 * MBED Application Board ($60);
1 * NXP 1768 Board ($65);
2 * TI Sensortag ($58);
(US Dollars = $309.00);
Open Source: Eclipse Kura, Leshan, Wakaama, Mosquitto; Home-Assistant or Phone Gap;
Protocols: MQTT, CoAP, LWM2M;
Hardware: Raspberry Pi, TI Sensortag, NXP 1768 Microcontroller + App Board;
Services: Eurotech Everyware Device Cloud, Twilio (SMS Service).
Bilal Al-SaeediWater scarcity is the lack of sufficient available water resources to meet the needs within a region. It affects every continent and according to the United Nations Development Program (Human Development Report 2006: Beyond Scarcity–Power, Poverty and the Global Water Crisis, UNDP) around 1.6 billion people, or almost one quarter of the world's population, face economic water shortage. The economic water scarcity, which results from poor management of the sufficient available water resources as defined by the UNDP, is found more often to be the cause of countries or regions experiencing water scarcity. This is often linked to areas of irrigation agriculture, which also harm the environment in several ways including increased salinity, nutrient pollution, and the loss of floodplains and wetlands through water overuse.

Our project aims to offer low cost and reliable method for farmers in the developing world to improve field irrigation and lower the amount of water used. For this we intend to build an on-field system of sensors and a gateway for a smart water management. The goal will be to build the system using open source projects and IoT technologies for the software and the budget of $150 for the hardware prototype. The smart gateway will be connected to a cloud service to help provide insights into weather and plants encyclopedia which will be combined with the sensors data to help make irrigation more efficient.

The system will be designed to be modular as to be able to extend the available service, e.g. new sensors and services, easily and without technical knowledge from the farmers.

More details:
* Arduino mini 1,80
* Wifi 2,71
* Hygrometer 0,99
* Charge Controll 1,26
* Solar panel 2,18
* LiPo-Battery 2,78
TOTAL 11,72€

Main central hub
* Raspberry Pi 3 34,61
* Arduino uno 21,40
* UMTS interface 23,99
* Rain sensor 0,99
* Tempreture (DHT22) 4,24
* Barometer 5,95
* Lux sensor 5,62
TOTAL 96,80€

Main hub missing sd card, battery, solar panel and charge controll

Budget calculation
* Calculation 4x sensor nodes 46,88€
* Main hub with central sensors 96,80€
TOTAL 143,68€ => $152,30
Eclipse projects
* Eclipse Kura
* Eclipse Kapua
* Eclipse Paho

* OpenWhisk
* Apache Cassandra
* CouchDB
* Docker

* RaspberryPi
* Arduino Uno and Mini
* Sensors
* GSM/GPRS stick
* Charge controllers
* Solar panels

* TCP/UDP, 802.11 b/g/n

External services
* Plants database
* Weather data
Tharinda EhelepolaUOPSpeaking glove is designed to facilitate easy communication between speechless/mute and deaf person with normal people. Usually speechless people communicate through sign language which is not understood by normal people. In this project we adhere this issue by using a glove with flex sensors, accelerometer and a gyroscope to identify different gestures. Each gesture produce a voltage change in sensors which will be transmitted using wireless technology to an Android smartphone. Software application in the smart phone will display corresponding human readable translation for each hand gesture. This application also has the functionality of recognizing different voice commands and display corresponding sign language notation in the screen. So the combination of both mobile application and the glove allows a two-way communication between normal and deaf people.Analog 3 way mux,
Arduino uno board,
Arduino wifi sheild,
Flex sensors 4.5inch : 3,
Flex sensors 2.2 inch : 2
3 way accelerometer 1,
gyroscope 1
Eclipse Mosquitto, Eclipse Paho
Benjamin LissillourEasy Global MarketAffordable IoT technologies for fish farming.

The goal of the project is to give information to fish farmers located in low income countries about the quality of water in their ponds and support decisions making. From information gathered in the literature, the relevant information for fish ponds monitoring are: water temperature, dissolved oxygen, PH, alkalinity, ammonia, total dissolved solids, carbon dioxide. However, covering all these parameters is highly costly whereas no measures are currently made in the targeted African pond. For our first prototype, we will thus just retrieve temperature, dissolved oxygen and PH and target a trial in a fish farm in Africa, Ghana.
Our solution is divided into 3 parts:
- A buoy equipped with sensors for water quality and system monitoring as well as a renewable energy harvester and LoRa based connectivity to the gateway
- A smart gateway to collect, pre-process and securely send data to the cloud. Advanced functionalities related to device management and cloud disconnect support with local application delivery are planned to be added in a second round.
- A cloud to process, store and provide access to the data through web interfaces or mobile applications.
The device electronic with the sensors will be attached to a floating buoy and placed into a pond. The device will be powered by solar energy with a solar panel on top of the buoy. The device will gather the information needed and send it to the IoT gateway. Initial discussions took place with the African fish farmer (cat fish farming) to discuss the buoy design.
The gateway ensures the connectivity between the sensors and the cloud. It pre-process the data, store it in a local database and send it to the cloud. Several options are available for security among which authentication key and data encryption.
The cloud is composed of an IoT broker and a storage manager. The Iot broker provides pub/sub mechanisms to manage (receive and provide) information. It also provide a messaging system based on subscription. The storage manager of the cloud is for store and retrieve data. The cloud will also provide an API to get an access to the data.
At the end the services provided to the clients will be:
- Data visualisation and exploration on an internet interface
- The send of a sms or voicecall when a data goes beyond user defined thresholds. Mobile application is also an option but smartphone penetration is still low on the end users side.
This services will help the farmer to maintain his pond. It will help him to know when to treat the water, to change the water level or to feed the fish. The improvement of water quality will increase the productivity of the farm by reducing the fish death rate and provide optimal growth condition for the fishes.
Later they will be some improvement especially on the gateway. The gateway will be part of a local cloud. This local cloud will be able to deliver services to clients in a limited geographical area. It will replicates some of the features provided by the global Cloud. It will be used by clients that don’t have a good access to the global cloud. Another improvement is expected for the device management.
Relation with local communities is done though the H2020 Waziup project to allow emergence of local business based on developed solution.
Proof of concept hardware is divided into 2 parts :
The device
The buoy contains a box with the electronic part: an arduino microcontroller, severals sensors, a LoRa radio module, a battery and a solar panel.
Device details are:
- Arduino pro mini
o 9.95$
- Inair LoRa module
o 15$
- Temperature Sensor :
o 9 .95$
- Atlas DO Sensor :
o 249.95$
- Atlas PH Sensor :
o 149.15$
- Solar panel :
o 21.93$
- Battery :
o 10$
- Charger for battery :
o 19$

The gateway gathers data from sensor nodes and send it to the cloud. This gateway contains a raspberry pi and a LoRa module to collect the data from the devices.
Gateway specifications:
- Raspberry pi 2 model B
o lecteur/dp/B00T2U7R7I
o 39$
- Inair LoRa module
o 15$

Approximate total price : 540$.
Additional components for mechanical packaging are not including within the list.
One of the challenges is the necessity to work over a long distance and poor infrastructure isolated rural areas. Deploying IoT in this context must use long range wireless communication and autonomous low cost energy devices. Low-power wide area networks such as Sigfox and LoRaWAN provide a good connectivity answer. The radio technology LoRa was chosen because it can be privately deployed in a given area with customised MAC layer while LoRaWAN or Sigfox needs a network server deployment or service subscription.
The KURA OSGi framework has been retained for the gateway part. The data will be persisted in a local database (hypersql and MongoDQ are being considered). The protocol communication with the cloud will the published-subscribed based messaging protocol MQTT.
For gateway management, the recently accepted Eclipse project Kapua will be investigated.
For device management, the OMA LwM2M standard will be investigated but primarily builds on top of CoAP and integration with Kura will require some integration work.
On the cloud part, context brokering will be achieved though the OMA NGSI standard modified by the FIWARE EU initiative. An existing IoT Agent is used to bridge between MQTT and NGSI.
In addition, our company is involved within the oneM2M standardisation and will investigate the possibility to provide oneM2M compatibility at the gateway layer, building on top of the OM2M project.
Siva Prasad KatruKrishi^ IoT: An open-source, wireless IoT powered solution for agricultural applications

Agriculture plays a significant role in the socio-economic equilibrium of India. According to Central Intelligence Agency factbook [1], about 50% of the Indian workforce is dependent on Agriculture [2]. However, the economic contribution of agriculture to India's GDP (gross domestic product) is declining [3]. The problem of low agricultural productivity in India can be attributed to lack of smarter and affordable solutions.

A typical day-to-day activities of a farmer includes monitoring the crop from diseases, protecting from the pest birds and providing irrigation through electrical water pump, sprinklers, etc. There are also challenges related to availability of electricity, network connectivity, weather forecast information, etc. There were no off-the-shelf and affordable solutions in the market to address the forth mentioned issues.

We present krishi IoT, a comprehensive Internet of Things solution to help farmers execute agricultural operations in smarter and efficient way. krishi IoT - kit offers smart sensors (krishi device), an gateway device with GSM capability (krishi gateway) and a mobile app (Krishi IoT App). Krishi device senses the sensor parameters (such as temperature, humidity, soil moisture, crop images, etc), and relays the information to local Krishi gateway. Usually in an agricultural farm, there will be no Ethernet or WiFi connectivity available; hence Krishi gateway is powered by GSM (Global System for Mobile Communications) technology for cloud connectivity, which further communicates to Krishi backend IoT platform. Krishi IoT mobile app connects to Krishi backend infrastructure and acts as an interface to Farmer. Farmers can deploy the Krishi IoT kit and monitor the farm remotely through a Krishi IoT mobile app.

Krishi IoT solution offers the following capabilities:
• Smart irrigation: Controlling the electrical water pump and sprinklers based on the power availability. Schedule irrigation according to power availability.
• Remotely surveillance: To monitor for common crop diseases with the Krishi IoT camera sensor
• Smart sensing: Report soil moisture, temperature, humidity, rain gauge, weather station, etc
• Pest bird control through Krishi IoT bird drone
• Provide periodic updates and weather(rain, etc) forecast information to the farmers

^Sanskrit term for agriculture

[1] CENSUS India:
[2] CIA factbook - India:
[3] Agriculture share in GDP on the decline:
• Raspberry pi 2 Model B+: 35USD
• GPRS/GSM Quadband Module: 35USD
• Camera module: 20USD
• Soil moisture sensor for Pi: 5USD
• DHT22: 5 USD
• Relays: 2 USD
• Miscellaneous:10 USD
Eclipse projects:
Eclipse Paho for sensor devices, Eclipse Kura for gateway, Eclipse Mosquitto as MQTT broker, Eclipse Hono backend data connector, MongoDB for persistence, Ionic framework for the mobile app, Investigate Apache kafka + mosquitto integration for scalability
Protocols: MQTT, CoAP (if required for the Krishi device variants), RESTful APIs
Hardware: Raspberry Pi, ESP8266, Arduino, GSM kit, Soil moisture sensor, etc.
Sergey VasilievA Rule-Based Fault Management for Environmental Monitoring IoT system.


Fault Management is an important part of the IoT Management area in general. And several approaches exist to fault detection and diagnosis in information systems. For a 3.0 edition of the Challenge I’m going to develop a Fault Management solution for a distributed Environmental Monitoring IoT system. The solution will be based on a Rule-Based principles of errors (symptoms) detection and faults isolation and diagnose.

Sample Use Cases

Use Case 1: Two Environmental data sensors deployed in the field. One sensor is in active mode, periodically sending data readings to its field gateway. Another sensor is a reserve and is in standby mode. The first sensor stops functioning due to the power problems, for example. The Fault Management system detects the situation in which readings data cease to flow from the gateway. The system inits fault isolation procedure by sending status request control message to the malfunctioning sensor. As the sensor doesn’t respond, the system executes recovery activity by sending wake command message to the second sensor. The second sensor switches to the active mode thus continuing the operation of the overall system.

Use Case 2: The Fault Management system receives multiple SNMP trap events with the information on large memory usage by OS of the IoT field gateway. The system sends SNMP GET request to retrieve the OS performance data. The response confirms the bad OS performance. The system executes the recovery procedure by sending the reset command message to the field gateway OS.

Components of the system:

Two identical battery powered WiFi enabled IoT sensors based on ESP8266 and BME280. The component provides temperature, humidity a barometric pressure values using push/pull communication schema with its field gateway via MQTT protocol.

Raspberry Pi component, running Raspbian OS. RPI has a wireless WiFi USB dongle connected. Eclipse Kura will be installed on the device and used as IoT gateway. The gateway communicates with IoT sensors via MQTT protocol. Also SNMP protocol agent for Raspbian OS will be deployed to enable RPi to receive SNMP commands and send SNMP trap events.

The following components will be deployed on two or more cloud CentOS 7 instances, provided by DigitalOcean or Some components will be run inside Docker containers.

Connectivity component, based on Eclipse Hono. The component will provide bidirectional communication channel for the IoT gateway and its cloud backend. Two types of communication protocols for interaction will be used: SNMP and MQTT. Telemetry data from sensors and control commands from the backend will be transmitted via MQTT. SNMP will be used for receiving TRAP and INFORM events from the OS components of the IoT gateway, and for sending GET requests from the backend. For SNMP I’m going to develop SNMP Protocol Adapter for Hono. So from the gateway side there will be two separate data flows: a) sensor readings and b) monitoring, error events and alarms.

Fault Management component, based on JBoss Drools. The aim of this component is to receive symptom events (errors, alarms), detect errors, isolate and diagnose the causes of faults and apply recover activities. For this purpose a set of rules will be created for decision making and complex event processing. The component will be able to send control messages to check the status of other components and to send commands to components as a recovery procedure (trying to restart the failed component for example). The component will be deployed as a self-contained decision service, which communicates with Hono, Data storage and UI components via Apache Camel routes.

Data storage component, based on Redis data structure store. Two instances of the data storage will be used: one as the temporary Environmental telemetry data storage and second as the Fault Management database, which persists symptom events, notifications and alerts data.

Integration Component, based on Apache Camel. This component will implement the business scenario of the solution by receiving Environmental telemetry data (temperature, humidity and barometric pressure values) from the Connectivity component and transmitting this data to the local geoinformation SaaS service - Public Monitoring Project ( to display sensor readings on the world map.

UI component. Will be implemented as a standalone web application. The component will deliver real-time fault and the system status data to the user, providing online visualization and notification functionality using WebSocket protocol and HTML5.
1. 2xESP8266 (ESP-12) - a Wi-Fi enabled chip ($5.5)
2. 2xBME280 - Temperature Humidity Barometric Pressure Digital Sensor ($9);
3. Raspberry PI Model B+ 512 MB computer board ($40);
4. Gl.iNet 6416A Wireless Router ($23);
5. Mini WiFi Wireless USB Adapter Dongle 8188CU Chip ($8);
6. 2 x LiPo Battery - 3.7v 350mAh ($13.9).
Programming languages and technologies:
Java 8;

Frameworks and software products:
Eclipse Kura 2.0 - an open source framework for IoT Gateway solutions;
Eclipse Hono - an open source framework for uniform backend IoT connectivity implementation;
Apache Camel 2.18 - an open source integration framework;
JBoss Drools 6.5 - an open source business rule management system;
Spring Boot 1.4 - an open source framework from Spring portfolio;
Vert.x 3 - an open source toolkit for building reactive applications;
Redis 3.2 - an open source, in-memory data structure store;
SNMP4j - SNMP API for Java Managers and Agents;

Hardware and operational systems:
2 x ESP8266 (ESP-12) - a Wi-Fi enabled chip with full TCP/IP stack and MCU capability;
2 x BME280 - Temperature Humidity Barometric Pressure Digital Sensor;
1 x Raspberry PI Model B+ 512 MB computer board, running Raspbian Jessie OS;
Gl.iNet 6416A Wireless Router;
Mini WiFi Wireless USB Adapter Dongle 8188CU Chip;
Multiple DigitalOcean or small size (512 MB RAM / 1 CPU) server instances, running CentOS 7 x64 OS;

MQTT v3.1 - a lightweight broker-based publish/subscribe messaging protocol;
AMQP 1.0 - an open standard application layer protocol for message-oriented middleware;
SNMP v3 - a protocol for collecting and organizing information about managed devices;
WebSocket - a protocol providing full-duplex communication channels over a single TCP connection;
HTTP protocol.
Mark LiddSemper-Fortisbuild a secure device capable of scanning WiFi networks and discovering open IoT devices that can be compromised. The device will be securely update-able remotely via Eclipse Hawkbit to contain various search paradigms of current IoT devices. Once found, information about the device location(s) will be logged via Elcipse Hon or a rudimentary version of it securely and sent anomalously to a logging site running a logging and visualization tool such as elasticsearch and kibana. Key rotation, et. al. will be handled by letsencrypt ( and keywhiz ( or a combination. Finally, an email can be sent to the IP owner on record.2 quad-core arm raspberry pi B kits (one for the sniffer and one for the secure remote (Hawkbit) server), a few raspberry pi zeros plus various IoT off-the-shelf devices for testing and a small cloud account and/or laptop for development Hawkbit, the central logger, and the visualizer.Eclipse Hawkbit, letsencrypt (, keywhiz (, raspberry pi B, raspberry pi zero, a few IoT devices for testing (wifi thermostat, Alexa, light bulb, energy monitoring, et. al.)
Maharaj Singh Malik****************************** INTRODUCTION ***********************************

The project is aimed at developing a system that can transform almost any surface into a capacitive touch based user interface capable of being responsive and interactive to

a) control a set of devices for IoT,

b) transforming the surface under consideration into a theremin for producing or reproducing music and sounds

c) transforming a surface into a gesture/orientation/position based control UI using thin film printed electronic technology

d) using it as a 3-D volumetric display by exploiting the fact that the position of the fingers or hands in general, can be calculated by measuring precise points where a magnetic field is disrupted in constrained 3-D space.

e) A printed sensor tag that can wirelessly relay signals or can be embedded into wearable electronics to enhance the possibilities of as to how it may be used

These are just a few use cases as to where this device can be used and as such the only limit is one's imagination. There would be several other fields of application of this system. Now let me explain the entire build and the above points of application, one by one.

***************************** HARDWARE BUILD *******************************

The project consists of -

1. A base which is essentially a transparent OHP sheet or a relatively stiff Acrylic sheet. However an OHP thin film is the most sought after choice because it is easily available, cheap and flexible. This supports the circuitry that will be placed on this base and is the middle layer.

2. The topmost layer is the circuitry developed using printed electronics; a conductive ink layer on top of a flex PCB with a few traces made using conductive copper tape. The circuitry comprises of a vey few external SMD components. The majority of discrete components are laid out on the Flex PCB using varied proportions of conductive ink and copper tape. In other words, the majority of discrete electronics(including printed antennae strips) are "printed" onto the circuitry. This is the most difficult part of the design and development process. However it provides the advantage of easy tinkering and reduced economics. This layer acts as a permanent conductive plate, the other one being your finger(s) or your hand depending upon the application. The distance between the hand/finger(s) and the conductive plate as well as the position of your finger or hand in the 3-D space as determined by position estimation in a 3-D magnetic field determines the coordinates and the intensity of touch that will be proportional to the intensity of the output signal also called herein as the control signal or the control output.

3. The lowermost layer is a wireless charging section with independent transmitter and receiver modules capable of dishing out up to 5 Watts of power, enough to power our project which essentially operates on low power. Nothing much to describe about this layer except the fact that a power control module will be used to control the flow of power to the circuitry and other associated accessories used(if any), which depends on the application the project is used for.

4. All external accessories are include in this section. It maybe the speakers and amplifiers, as in case of theremin based musical instruments that make use of human touch to vary the pitch of sound produced or maybe a 1-octave based synthesizer. Or an e-ink display coupled with the circuitry. Here it is worthwhile mentioning the fact that low power external peripherals such as e-ink displays can still be powered using the wireless charging module. The peripherals such as speakers, amplifiers are essentially medium to high power devices which make use of power provided by an alternate source.

************************* FIRMWARE/SOFTWARE BUILD ************************

The choice of programming platform and services is one which is essentially a matter of choice for the end user. In my case, i am using-

a) Micropython which is essentially a stripped down version of python to be used in microcontrollers
b) Zerynth, which is an IoT based service for devices using python or micropython
c)open source protocols such as MQTT for telemetry and CoAP

The project is a self contained, self sufficient unit that can be used in variety of domains. Since, i have highlighted a few of them above, so i will be performing demonstrations for all the application uses mentioned above(if selected) to showcase the capability of this device. Hopeful of a positive outcome. Thanks!
micropython board v1.1 , 15*7 charlieplexed display, charlieplexed led driver module, 0.54 quad alphanumeric feather wing, generic cables & clipsZerynth , MQTT, CoAP
Nedko NedkovOur solution is a domestic intrusion detection system which depends solely on the signal strength of Wi-Fi.

When people move through a space with a Wi-Fi signal, their body interferes with the radio waves by obstructing their path, absorbing some waves and reflecting others in various directions. The wavelength of 2.4GHz Wi-Fi signal is about 13 cm thus movement in that amount of space affects the signal strength from every direction the signal is coming from. By analyzing the exact ways the strength of the Wi-Fi signal is altered when a human moves through it it can be easily distinguished in a static environment when a person is interfering with the signal.

Our system requires a Wi-Fi router and Wi-Fi receivers. The Wi-Fi receivers need to be placed in strategic places in the environment and their role is to periodically read the Wi-Fi signal strength. The latter info is broacasted to a central server running in the cloud which analyzes the signal and distinguishes with the help of some machine learning classifier whether there is human interference to the Wi-Fi signal or not.

When the server classifies that there is human present in the environment it notifies the house inhabitants. Optionally, the system polls the location status of the inhabitants via a smartphone app and only notifies them when none of the inhabitants are near the house.
2x SparkFun ESP8266 Things
2x Breadboards
2x 2500 mAh LiPo battery
Jumper wires
AWS - instance M3 General Purpose Medium
Open standards/Eclipse projects:
MQTT (Eclipse Paho): for publishing/subscribing Wi-Fi signal strength readings
HTTPS: for communication between central server and Android application (to notify intrusion)

Open source technologies:
OpenShift: for deploying and running the application in the central server
Apache Spark: for distributed processing of the Wi-Fi signal strength readings in the cloud

2x SparkFun ESP8266 Things
2x Breadboards
2x 2500 mAh LiPo battery
Jumper wires
Sarthak SethiMillions of farmers in the world each year face loss of their crop. It’s mainly due to crop disease or environmental problems like nature of soil (pH), poor quality of air, and excessive or very low moisture in soil.

To get cure from these problems, farmers need to know the fertilizer they need to spray according to the condition of the soil and also the amount of water needed everyday for his crop with respect to the temperature, moisture and humidity.

More than 50% of the people's occupation in our country is farming and we need a innovative solution, which is affordable and can be implemented in the current scenario.

Also the selling price of crops from the farmers keep changing which is not known to the farmer which leads to selling goods at a lower cost

What will be end final product?

The idea is to make a hardware + mobile app which could be used by farmers, can update farmers with any issues with their farms and can analyse amount of sunlight, rain, soil moisture, pH and can suggest best fertilizers according to the data from the sensors. It can also compare the data with the local weather data for that GPS location.
The app will also have real-time updated selling prices of crops for the farmer.
The major expense on this project is the sensors.
I have some of basic sensors like temperature & humidity, but I'll need some of these sensors which are pretty expensive.

1) pH Sensor ~$70
2) Dissolved Oxygen Probe ~$50
3) Digital UV Sensor ~$10
4) Highly Accurate PM 10 and PM 2.5 Air Quality Sensors ~$100
5) Intel Edison ~$120
6) Soil Temperature Probe ~$20

The total budget comes around ~$400, i'll be able to put in INR 12,000 (~$200) myself for this project.
The whole system would run on MQTT protocol, as its very light and best for IoT applications.
The prototype will be built on intel edison.
I'll be using MicroEJ for the deployment of the sensors and connecting them to my server.
Antonio LiñanZolertiaThe application relates to build a micro-climate for indoor environments, taking information from wunderground it would be possible to replicate external outdoor conditions (wind speed, ambient light, humidity, temperature) in indoor environments. The objective of this application is a three-fold:

- Monitor weather and atmospheric conditions using physical an UIX interface other than screens and monitors, allowing the user to touch, see and feel the weather in any location of the world
- Reduce the dependency of mobile phones, laptops, etc, and engage the user in the weather and atmospheric monitoring process
- Provide an easy way to map any climate to a desktop, i.e the wind rising in a near beach for kite surfing lovers, a heads-up for a traveller going to a new city, etc.
Zolertia Firefly (42€), PC fan (5€), RGB LEDs (5€), Raspberry PI model B version 2 (40€), RGB led bar (8€), buzzer (3€)CoAP/DTLS and LWM2M on 6LoWPAN/IPv6 using Contiki
Didier DONSEZUniversité Grenoble Alpesi-greenhouse : monitoring real-life greenhouses for organic and auto-production agriculture with LoRa and Sigfox endpoints.

This project is a student project at Polytech Grenoble about solar-powered greenhouse. Polytech Grenoble is an engineering school teaching computer science, embedded systems and electronics among other disciplines.
The urban agriculture aims to answer future challenges: reduction of the cultivated area, green economy, carbon footprint for transport of goods, self-production towards alimentary self-sufficiency of cities. This production mean takes into account the constraints of the cities, where the surfaces are limited and expensive, by using vertical farming. An aquaponic system with fishes will provide nutriments for the plants. Finally, to irrigate the plants with the water from the fish tank, an irrigation system will be used. It will be powered by solar-energy with a battery pack.

=Urban agriculture around the world=
Similar experiments are performed abroad : New-York[1], Montréal[2]. In France, large cities are also interested as Paris[3] or Lyon[4], with the support of universities, or local public administration. In the Grenoble area, a civil group « Cultivons nos toits »[5] experiments on top of a fablab building.


We are interested in several measurements useful for the greenhouses:
* Solar energy production and energy stored in the batteries,
* Oxygenation, pH, and oxidation-reduction potential of the fish tank water,
* Temperature of the fish tank water,
* Temperature of the air, both inside and outside of the greenhouse,
* Humidity of the air, both inside and outside of the greenhouse,
* Intrusion detection and presence.
* NFC identification

These measurements will be helpful to monitor the greenhouse, and will be used to take control decisions on:
* Raise alarms to feed the fishes
* Feeding the plants and possibly adding nutriments
* Ventilation to control humidity and temperature

=Long-range communication technologies on ISM bands=
LoRa and Sigfox are the two leading communication technologies for Low Power Wide Area Networks (LPWAN) on free-licensed ISM bands (433MHz and 868MHz in Europe, 915 MHz in US/CA/MX, ...). LoRa and Sigfox enable communication over several kilometers (Line of Sight and Non Line of Sight) with low-power consumptions and long battery lifetime (several years with 2 AAA batteries). Therefore, the typical network topology is the star topology : all endpoints transmit data to (resp. receive data from) one or several gateways. Ten gateways are enough to cover a city of 1 million inhabitants. Moreover, LoRa can leverage private networks. LoRa gateways manage up to 49 LoRA channels and cost 500 - 1000 € /per unit. However, LoRa allows to build DIY Pico-gateways with ESP8266 or RPi-0 for instance starting at 40 € (including antenna and enclosure). Pico-gateways manage only one channel, but that's would be enough for a small private LPWAN.
Goal of the project
The goal of the project is to design LoRa and SigFox endpoints and pico-gateways for monitoring real-life greenhouses for organic and auto-production agriculture.
The four deliverables are:
* The design of LoRa and SigFox endpoints (HW/SW),
* The design of a LoRa pico-gateway (HW/SW),
* The design of a monitoring back-end with alarms,
* The design of data visualization UI and mobile applications.

These deliverables will designed by the Polytech Grenoble students in computer science, embedded systems, and electronics.

These designs will be released as open-source software, open-hardware, and open-design into the Eclipse IoT community. Université Grenoble Alpes (UGA) is member of the Eclipse Foundation since 3 years.

In case of the challenge winning, the award will be used for developing new open-source IoT projects at Polytech Grenoble.

=Schedule of the project=
==March-November 2016==
1st HW/SW software and hardware design of the LoRa endpoint for temperature, humidity, rain and wind (Figure 2)
1st HW/SW software and hardware design of the Sigfox endpoint for temperature and humidity (Figure 3)
1st HW/SW design of the LoRa pico-gateway based on ESP8266 + RN2483 (Figure 4)
1 st mockup of the backend based on MQTT, Node-RED and InfluxDB Link (Figure 5)
1 st mockup of the data-visualization application based on Grafana Link (Figure 5)

==January 2017 (start of the student project)==
Ordering of the 14 square meters greenhouse and associated material
Installation of the greenhouse in Polytech Grenoble backyard
Sigfox endpoints (with first set of sensors)

==February 2017==
Lora backend and LoRa endpoints (with first set of sensors)
Lora pico-gateway hardware
Grafana dashboard

==March 2017==
March 9-10: Participation to the Eclipse IoT Days (Link)
Lora pico-gateway software
LoRa endpoints (with second set of sensors)
Sigfox endpoints (with second set of sensors)
Alarming backend (Email, Free SMS, Android push).

==April 2017==
Cordova mobile application
Integration in OpenHAB/Eclipse SmartHome
User documentation
Student defense
Amarendra SahooSuperus Technology Solutions Pvt LtdOverview - The Story
Retail is a fast moving industry and consumers have a negative sentiment about products which are not kept in proper storage condition & which are about to expire or already expired. The products which are improperly stored & are close to expiry or has expired are not sold. This not only means lost sales but also negative consumer sentiment on the store, on the product & on the Brand as a whole.
The manual effort needed to solve this problem will be too laborious, prone to human error and lacks transparency & visibility to the product/brand owner level.
The solution we are proposing will use IOT based technology to solves these problems which can be summarised as
It will alert the products which have expired or are going to expire in near future.
It will showcase the storage condition (temp/humidity) of the containers (freezers/chillers/containers) and alert the concerned person in case of any deviation.
Optionally the solution can be/will be extended to provide functionality like:
i. Integrate to the sales/POS system to determine the Sales information of products to help decide promotional offers. Push these offers as Advertisement content to be displayed on the Storage system (chiller/refrigerator/container) itself.
ii. Send message or notification with Promotional offer to the Loyal customer when the customers is nearby or swipes his Loyalty card on the swipe machine. This will drive sells and also improve customer loyalty & WOW factor.

Use Cases:
1. It will alert the products which have expired or are going to expire in near future based on condition
2. It will showcase the storage condition (temp/humidity) of the containers (freezers/chillers/containers) and alert the concerned person incase of any deviation.
1. Integrate to the sales/POS system to determine the Sales information of products to help decide promotional offers. Push these offers as Advertisement content to be displayed on the Storage system (chiller/refrigerator/container) itself.
2. Send message or notification with Promotional offer to the Loyal customer when the customers is nearby or swipes his Loyalty card on the swipe machine. This will drive sells and also improve customer loyalty & WOW factor.

Solution Description :

I will describe the solution and the technology that can be used ( as far as I understand till now) for the prime use cases ( and optionally the additional use cases).

The IOT solution will alert the products which have expired or are going to expire in near future.
It will showcase the storage condition (temp/humidity) of the containers (freezers/chillers/containers) and alert the concerned person in case of any deviation.

The inventory i.e. the Chiller, Cooling compartments and the item racks are fitted with RFID reader and reads the items' expiry status at regular intervals (the items are fitted with RFID Tags). This data is then matched with the sales data of the items and the information is passed on to the company (the brand ) manager.
The brand manager is equipped with a dashboard where he can explore the information based on Region/Location/ (the stores Containers are fitted with GPS sensor/tracker), then the stores in the location and ask for data (pull request).
She also gets alerts (push messages) when any location information violates the agreed storage norms or conditions. E.g. shows the products that are going to expire in next 7 days.
This helps her identify the store & contact the store manager to replace the products or drive some in-store promotional campaign to push sales.
If any storage container refrigeration temp is low for long duration of time or is shut down frequently, that indicates the refrigerator is not performing well or the store keeper is not taking care to maintain thetemperature. So the brand manager can instruct the channel partner or store manager to replace the container or send guideline to co-operate for better product experience to the end consumer.

Optional use cases
Integrate to the sales/POS system to determine the Sales information of products to help decide promotional offers. Push these offers as Advertisement content to be displayed on the Storage system (chiller/refrigerator/container) itself. This will help raise interest of customer & help in quick purchase decision.

Send message or notification with Promotional offer to the Loyal customer when the customers is nearby or swipes his Loyalty card on the swipe machine. This will drive sells and also improve customer loyalty & WOW factor.

Non-functional requirements :
I. Maximum number of connected devices/stores containers
II. Reading Interval of the sensors
III. Maximum allowed delay between data read by sensors and shown a the backend
IV. Authorization/Authentication/Encryption of the messages
V. Availability of the system
Vi. Data delivery assurance.

Personas (Typical user)
Sonia Joshi, Brand Manager/Channel manager
29 years old, 4 years of experience in retail. As brand manager she has to improve ensure the high standard of brand touch points with consumers & improved consumer sentiment for the brand.

Ensure the products of the brand have high visibility at the stores, and the products movement/sell is fast across stores. Drive consumer loyalty and minimise bad experiences related to the product.

Need to know how the product is managed/stored/sold at the consumer touch points and at Point of sales.
Need to identify the locations & products which are in bad shape, expired, expiring soon etc.
Need to identify & communicate with the store managers in the distribution channel

Goals: to enhance the consumer experience on the brand and the products

Pain Points:
Do not have visibility how the products are handled/stored at the points of sales.
Do not have visibility about consumer footfall at different stores.
Outdated, delayed or goofed up reports from stores about product condition, consumer buying behaviour etc.

1. RFID tags & RFID reader ( Starter Kit ~$40)
2. The temperature Sensors & Humidity sensor ( ~$7)
3. Proximity sensor (~ $10)
4. GPS Sensor (~ $40)
5. Raspberry pi-3 for gateway, ( Complete Starter kit ~$75)
The technology to display video/Image on glass panel, and control for which video to display based on condition ( optional )

The technology stack that may be useful to implement are:
A. The sensors involved for this case are :
RFID tags & RFID reader ( Starter Kit ~$40)
The temperature Sensors & Humidity sensor ( ~$7)
Proximity sensor (~ $10)
GPS Sensor (~ $40)
The technology to display video/Image on glass panel, and control for which video to display based on condition ( optional )
B. Gateway & Server Hardwares
Raspberry pi for gateway, ( Complete Starter kit ~$75)
Server/desktop machine to host Application server, Card Swipe machine at the store for reading ( Local system)
Loyalty card of customers.
C. Software
Eclipse Kura, MQTT, Paho Client, Mosquitto broker, ESB/Application server, R Software for analytics on the data
May be Eclipse SCADA project
Marcos OAPOIKOSProblem:

According to a report by the UN Commission on Human Rights, it is estimated that there are over 100 million people who do not have a home and so live on the streets of major metropolitan centers around the world. The number represents about 1.5% of the world's population and only increases each year.


We believe that there are ways to achieve social and economic justice through technologies for the good of all people. We believe in equality, that everyone has the right to own a home, a place to live in. Taking a look at the increasing of poverty conditions of people living in streets we started this project with the mainly mission of understanding how we could help their needs and inclusion in society.

For this aim, we present you “OIKOS”, a low cost, smart and accessible house for the social inclusion of homeless people. Our solution consists in a literal house with a Parametric Design made of recycled material, such as cardboard. Low cost solar panels are also available in each Oikos house with the aim to charge during the day offering led light at night and energy. Oikos comes with colourful cultural-concept paintings that can bring beauty and life into the cities.

The Oikos houses are connected to each other forming a P2P network inside our IoT system and Wearables with a Context Sensitive program. Thus, it is possible to create a georeffered map of the needs of each oikos’ resident. The Oikos house is equipped with “buttons of needs”, as for exemple one for food and water and another for clothes and higiene things. This data will be send to an community app to establish the relationship from the oikos’ residents with the society promoting inclusion and social participation of all. Our Smart City system is responsible for all this data consolidation, generating a connection between the society and the people in need.

With the app, each user may donate a percentage of their internet for the oikos’ residents. With that, oikos’s residents can have access to internet.

A vision of future for the Oikos houses is that can become big energy generators for the population giving back what they received, establishing a sustainable exchange movement between the society and the oikos’ residents. Possible partnerships with online courses institutions can be made with the objective to offer a professionalizing opportunities for the Oikos residents.
• 2 Raspberry
• 1 ESP8266
• RF wireless

• 1 Arduino
• 1 RF wireless
• 1 ESP8266
• 2 Round Solar Panel Skill Badge - 5V / 40mA
• 2 Lithium Ion Polymer Battery - 3.7v 500mAh
• 10 White led lights
• 1 RGB led lights
• 1 LM35 & accelerometer
The system is composed by 2 main elements:

• Devices
• IDE: Eclipse C/C++ with plugin
• C/C++
• Test framework: CppuTest
• Security mindset
• Gateway
• Javascript
• Nodejs
• Johnny-five or cylon
• MQTT protocol
• TDD: Chaijs
• CI, CD
• Security mindset

• MQTT Broker Mosquitto or Paho)
• Cloud application (Cloud Foundry or Heroku)
• IDE: Eclipse Java
• Web service application
• Android app
• Java
• Test framework: Junit
• Security mindset, Milo
• CI, CD
Geesara PrathapThe solution proposed is to build a low-cost wearable smart intelligence device that can be used to recognize an auditory event which is happening in the background generated by nature or artificial sound source in real time. Nevertheless, events in the environment based on the sound can also be
used for other tasks such as speech to text conversion. A wearable device made up of an array of well-placed microphones with variable hardware parameters that can be interfaced with commonly found handheld processing devices such as smartphones and tablets compose the main hardware.The system will be designed such that it can simultaneously process the audio signals for detecting
possible ‘event’ occurrences while analyzing the data for other processes such as speech recognition. Deciding which sounds come from the background, which sounds indicate `events’ that needs special attention is not a simple task. For instance, the sudden barking of a dog outside a house must be given
immediate attention while a dog barking for a long time becomes a background noise. Also, certain broadcasts such as those that can be heard at railway stations are not conveyed properly to people with severe hearing disabilities. Hence, identifying which sounds must be considered as background,
and which must be given due consideration must be done using a learning process involving both the user as well as a smart intelligence device itself. This requires the development of a customizable system that will evolve according to activity that it observes, and also the feedback is given by the
user. However, at the evaluation stage, the impact of the feedback from the user will be limited to a certain level in order to optimize the performance of the system.Neural network architecture which is to model so as to address this problem is composed of a set of convolutional, recurrent networks layers and a few fully connected hidden layers. Modeling a neural network is not a big problem. But in order to gain high accuracy, properties which are listed below
need to be properly defined in an optimal manner: the format of input data, number and size of each layer of network, filter dimension, learning parameters (learning rate, momentum, batch size, dropout probability, amount of regularization applied). Also, the audio stream may contain plenty of features:
spectral slope, spectrum flatness, spectrum centroid, spectrum envelope, MFCC, spectral decrease, linear predictive coding and so on. Identifying which features to be selected also not an easy task which is to be decided while making this device. An Internet-based updating system for the users will
also be included, that will enable the sharing of data in order to update the classifiers. Because geological location to location neural network model may vary. That is where device management concept comes in the picture where intelligence device will have been pushed correct model based on
the location where he/she goes.
4 microphone, 3 raspberry pi, 4 vibration sensors, power bank, power supplyGoogle Tensorflow, Apache paho clinet(MQTT), WSO2 IoT Server,
Deepak SharmaSmart Traffic Lights and Controller

Smart Traffic Lights are best suited for developing countries which cannot spend large scale capex on Smart Traffic lights.
This would contain Smart Phone detectors (using Wifi and Bluetooth scan) and cheap CCD/CMOS Sensors to detect traffic in each direction.
The obtained data is continuously uploaded to Smart Traffic cloud along with GPS coordinates of the corresponding Traffic Light.
The Traffic application hosted on the cloud will use smart analytics along with overriding manual rules to dictate the green time. The application will push rules to the traffic lights which could keep changing with analytics.
The corresponding traffic alerts can also be shared with Google Maps and other apps and create route alerts for riders.
The communication between the traffic lights and cloud will happen through a mesh of LoRa Gateways and nano BTS. Traffic lights can also talk to nearby traffic lights and coordinate rules.
When communication failure happens the last good rule keeps running until communication gets restored.
To become commercially self sustaining these lights would also support BLE Beacons based Ad push alerts. Power would be supplied by Solar Panels and SMPS plus battery.
Raspberry Pi3, CCD/CMOS Sensor, WiFi and Bluetooth radios, Battery, Solar Panel, LoRa Modules and Gateways, LEDs, Traffic Panels, BeaconsLoRa, Kura, Leshan, Eclipse OneM2M Implementation, OpenCV
Celso MangueiraIntegratecDevelop a solution for aquaculture helping small and medium breeders monitor their breeding in real time, increasing results and reducing losses. An integration will be done between sensors in the tanks collecting the main information and then sending them to the cloud, where it will be treated at first by a human, and then with artificial intelligence the system will be self-managing.raspberry pi, WQ-FDO OPTICAL DISSOLVED OXYGEN TRANSMITTER, WQ201 pH SENSORS, WQ101 TEMPERATURE SENSOR, sollar panel - 10wmqtt, lorawan, kura, paho, edje
Juan PizarroJuan PizarroI want to develop a Greenhouse Automation/Smart Farming Platform using wireless communications(zigbee)

In Open IoT Challenge 2.0, I've developed a POC app, monitoring moisture, humidity sensors using Auto flower watering kit + XBee ZB as edge device, monitoring zigbee PlantLink Sensor, and a BeagleBoneBlack + TXInstruments CC2530 as IoT gateway, publishing data to

In Open IoT Challenge 3.0, I want to improve the stability of monitoring and add cloud app to control a pump
BeagleBone Black
Mains Power Outlet psm-29zbsr
TXInstruments CC2530
Auto flower watering kit (SKU: KIT0003)
XBee / XBee-PRO ZB (S2)
PlantLink Sensor
docker +
EclipseIoT kura + ConnectionFactory Kura
Desiree SantosThoughtworksIt is estimated that around R $ 1 billion in drugs are wasted annually in Brazil. This number represents about 20% of the drugs purchased, either by the government or by private hospitals.

It is a smart drug delivery system that maintains the correct medicine temperature and provides the history of the drug in real time throughout the transfer.
It has as public target government, clinics, hospitals and laboratories that manufacture medicines for both purchase and sale of thermolabile drugs and that need to have temperature reliability for the safety and quality of medicines.

Solution Differentials:
- Have intelligent system to adjust the temperature throughout the transfer
- Temperature data throughout the transfer being made available in a web / mobile application
- Provides data in real time on the dashboard and saves data offline
- Sensors in fleets and equipment for transporting the medicine
- Use of precision plate / sensor equipment
- Solve large-scale problem with robust and effective solution
- Cost reduction
- Reliable delivery

Critical Points:
- High temperature accuracy
- Have electronic devices to test different types of connectivity
1 Raspberry
1 ESP8266 12E
1 RF wireless

2 arduinos
2 RF wireless
2 LM35
2 peltier cooler
The system consists of 2 parts.
The first part is the hardware which is a embedded system inside the vehicle responsible for monitoring and control the temperature, based on medicine requirements.This ecosystem has devices that is responsible for control the temperature and report the temperature changes to gateway. The gateway is the bridge between devices and cloud system.
- IDE: Eclipse C/C++ with plugin
- Language: C/C++
- Test framework: CppuTest
- CI,CD (como?)
- Security mindset
- Javascript
- Nodejs
- Johnny-five or cylon
- MQTT protocol
- TDD: Chaijs
- CI, CD
- Security mindset

The second is the cloud system composed in MQTT broker and application web/mobile to display the medicine temperature on dashboard.

- MQTT Broker (Mosquitto or Paho)
- Cloud application (Cloud Foundry or Heroku )
- IDE: Eclipse Java
- Application web:
- Language: Java
- Test framework: Junit
- CI, CD
- Security mindset

Security mindset means to have in mind the security during the development in all part of system(hardware/software). Also we need to take care about privacy too.
Steve DoweySutton ToolsI have just built and deployed an open source software based Factory Visualisation system for low value/ legacy industrial machines, using node.js, mosca (MQTT broker), Node-Red (as the MQTT subscriber and UI), raspberry pi as the gateway and using XBee 802.15.4 network on the factory floor as a pilot project on 4 machines. The data is aggregated using an Oracle XE DB.

As part of the build I used Arduinos as simple machine simulators. The project I have identified for this challenge is to create a much more capable physical discrete event simulator based on finite state machine architecture. These could be configured and used for IoT training /discovery and when connected to XBees, as complete factory lines /plant simulation. The reason for a hybrid physical / software solution is that, as a tool for mechanical/production engineers, a micro-controller based simulation is closer to their comfort zones than a complete software solution such as SimPy or Modellica. The electrical connections and interface solutions are also extremely close to the 'real world' and have the same issues of EMI, so the complete environment /solution is straightforward to deploy. Using an Eclipse based graphical state machine programming solution also reduces the programming overhead and the state machine is close to the PLC process that the production engineers are exposed to.
Raspberry Pi x 2 --------------- 70.00
XBee x 4 ---------------------- 120.00
Arduino / Clone x 3 ----- 90.00
Electrical sundries ----------- 50.00

estimated total ----------- 330.00 (AUD)
Eclipse Sloeber plugin (Arduino toolchain / IDE), Eclipse CDT, Eclipse Yakindu Statechart plugin. Digi Xbee 802.15.4 network, MQTT protocol. Node.js and assorted node packages, inc Node-RED, mosca, serial, oracle-db. Raspberry pi running Raspbian as network gateway and MQTT publisher. 2nd Pi runs Node-RED and DB for data aggregation and persistence. Oracle XE would be suitable DB as would MySQL
Sébastien LambourCityzen DataBeddit Sleep tracker is a awesome sensor, but only oriented retail. Sleep analysis is crucial in mood disorders prevention, but the mobile application and sleep analysis algorithms developed by Beddit are not designed for this use case.
Actually, read raw data from the device is quite simple.
The challenge is write another system based on open source software and hardware in order to execute sleep analysis algorithms dedicated to mood disorders prevention, with only one goal the improve the UX with the sensor and expose a dedicated dashboard readable by the patient.
Finally when you talk about medical oriented device, privacy is not an option. This is the reason for embeds the solution into a hardware.
Raspberry PI starter pack - 80$
Beddit Sensor - 65$
We will use for this project :
- Raspberry PI 3
- Beddit sensor

- Eclipse project - Vertx -
- Open Source Times Series platform - Warp10 -
- Dashboard - Progressive Webapp with Polymer (Google - OpenSource)
Deepak SharmaSmart Cooking Top and Kitchen Containers

Smart Cooking Top aims to make intelligent use of Sautéing, Baking, Deep Frying and Stir Frying techniques combined with culinary algorithms and sensing technologies.
It will use Smart Dispensers for accurate dispensation of the ingredients in accordance with the food recipe algorithm. Smart Dispensers would intend to take the pain out of ordering groceries and make it a truly immersive experience via intelligent use of load cells, Zigbee and API integration with leading hyper local online grocery stores.
The products in combination can alter the way human beings prepare food and order groceries. In making up these products predominant use of Open Source products will be done.
Smart Dispensers will use - General purpose Food Containers with automatic dispensers for limited quantity and also a load cell based weighing sensor to identify when it has to be replenished.
Supporting these products would be a Home IoT Gateway which would be Zigbee based, a mobile App for configuration and ordering, and a community portal on which people can submit their food recipe algorithms and be rated.Ultimate aim would be to prepare food at the touch of a button remotely and also to order groceries automatically with minimal user intervention.
Raspberry Pi3, Load Cell, Zigbee kit, Battery, AWS EC2 or equivalent, Plastic JarsKura, Eclipse OneM2M Implementation, Raspberry Pi3, Load Cell, Zigbee kit, Battery, AWS EC2 or equivalent, Plastic Jars
Vinayan HStudentMPulse
Machine Health by analysis of vibrations and sounds produced from a running machine.
Using machine learning, after collecting samples from mahines deployed, training the neural net to predict if a machine needs a maintainance checkup / not or if the machine is going to fail.
Alert the operators/machine manufacturer about machine health on dash app/web GUI.
Node MCU + microphone array + piezo vibraion sensor + Raspberry PiMQTT, Mosquito, Kura, SmartHome, TensorFlow, Keras, RPi.
Tien Cao-hoangWireless sensor network system for monitoring the fish farm

The project goal is to build a WSN system that can monitor the water quality of fish farm (sensing parameters: temperature, pH, DO - dissolved oxygen).
The system consists of two main components, a gateway and sensor nodes. The gateway is a Raspberry Pi which is run MQTT server and Kura to manage network, bundle, data,.... It is used to establish WIFI connection to the sensor nodes. A sensor node is an arduino with WIFI module and sensors that can connect to the gateway via WIFI and publish sensor data to gateway using MQTT protocol. Then, the gateway send data to the cloud (IBM bluemix) for visualizing and storing.

Raspberry Pi, esp8266 huzzah, sensorsKura, Mosquitto, bitreactive
Anupam DattaTata Consultancy Services LimitedOur proposed solution is for Factory equipment maintenance. For that, low power RF beacons with sensors will be attached to equipment. From broadcasted sensor data and image analysis, we will find which machines are overworking and hence problem may arise. From temperature, IMU and Acoustics noise sensor data, it will be detected how much anomaly is there and whether these are functioning well. It also calculates what is the expected lifetime and how productivity will be degraded. It will then suggest to change or minimize and optimize usage in case it takes more time to procure equipment.
It also triggers auto diagnostic of equipment so that it enhances productivity. Factory Manager can better plan with the suggested actions. It reduces downtime and increases equipment lifetime.
Notification of resource optimization will be given to manager for better utilization.
This system allows sending notification to engineering team to fix equipment and hence reduce downtime and sudden failure issues.
Raspberry Pi 3, TI Simplelink BLE module, IMU sensor.MQTT Paho, Eclipse Milo, Kura, Leshan, CoAP libcoap, 4diac, CoAP microcoap, Weka, Spark.
Zoltan KobolakZoszkoWorks Kft.We are working on a full blown IIoT project as a research for a local company who supports our projects quite heavily. We are covering both diagnostics and data logging, counting, managing the machine operator's data. Some part of the system has to meet ATEX standards as this factory is producing dangerous goods.There is a huge BOM for this, but I do not want to bother you with ~250 items so the expensive parts are STM32 ARMs, Siemens Profibus bus transcievers to interface with the 3rd party machines, industrial grade CAN controllers and transcievers for our custom parts, lot's of passives even as we try to minimalise PCB footprint and trying to use the same part if we can.As I have mentioned we are working on a IIoT projects so we are working with IEC 62541 (OPC UA) + Eclipse Milo. We also have a quite old 3rd party server running Apache Spark to process the data. We are working on both hardware and software at the same time in the same workshop. This is great as the hardware designers are close to the software team and we can minimise communication problems between departments.

As of custom parts of this network we are trying to standardise both software and hardware which we will release to the general public as it's ready.
Scott SieffertData aggregation and visualization for constrained devices using CoAP with Californium.

For my solution proposal I would like to implement a web service to provide time series data aggregation and visualization for constrained devices. The CoAP protocol using Californium would be used for communication. This solution would be most useful for any IoT project that involves analyzing time stamped sensor data. I believe that data visualization is an important first step to begin exploratory analysis of the data being produced by the devices. This solution would be a beginning in solving that first step. Then building on this first step subsequent solutions could be built to provide for a deeper analysis and uses of the data. Below are more details about the solution.

The data would be aggregatable to any time frame to possibly match any cyclical nature that the system or process the devices are monitoring. The aggregation period could also be chosen by the user just to provide a different view of the data. The aggregation methods should be arbitrarily chosen by the user, but for this first solution they would be limited to just four and will use all of them. The four aggregation methods that will be provided are the opening, highest, lowest and closing (OHLC) values of the aggregation period chosen by the user.

The four aggregation methods described above were chosen because in this first solution the only data visualization will be a candlestick chart. This type of chart is very common for visualizing OHLC time series data. The type of image that would sent to the device would be negotiable. The resolution of the images would be from 320 X 200 up to just about anything. SVG will be used as the native type of the visualizations and will be converted to whatever type requested on the fly before sending to the device for display. All image types supported by CoAP be provided and other types will be possible also. In my research I discovered that ”image/bmp” seemed to be popular amongst the more constrained devices (probably due to the simplicity of the bmp format) that were able to have a graphics display attached to them. I did not see ”image/bmp” or ”image/svg xml” as a listed types in the CoAP protocol, hopefully there will be a work around so these and other types not listed can be consumed. Using SVG as the native format allows for the effect of semi transparency among the different elements in the visualizations to appear even if the format requested does not support it.

Let me know if you need more information about the proposal.
A variety of IoT boards and/or development kits that are capable of having a graphical display attached to them. Also a variety of small LCD graphical displays to attach them. These would be used to verify compatibility and functionality of the solution.Californium using the CoAP protocol.
Jim Scarboroughself/Red HatWeather radio to alert only for a tornado warning, only for its specific location. Integration with PA systems.Raspberry PI (+ SD card, power supply), speaker, RTL-SDR or AIWIndustries weather radio receiver board, 2.7" touch display, case TBDRaspbian, Python 3, Circuits Framework, GitHub,, Coveralls, GNU-SDR
Fung Chung KitStudentAutomatically Car Parking system. It is a torture to find a position in the car park. It take lot of time to searching for a good space from that large area (which is easy to drive in and out). IoT will be a effective and low-cost solution for that. Using the image from the monitor(the CCTV system) with the machine learning technique to detect which position is available to the new coming car. The result will be imported to a centralized database. When a new car is come, it will detect the car size and searching through the database. Once it find the most suitable position for that car, it will connected to the car navigation system(or GPS) and tell him how to go.

This can also provide useful statistic for the car park owner. It can help him to identify the bottleneck of his cark park and making business decision.
web cam(alternative for CCTV), Raspberry Pi(detect the space by learning from image), another Raspberry Pi(since it is difficult to buy a real car navigation system, we use another block to simulate the navigation system). SpeckerEclipse Paho
Sammie L MaysIgnitedDesignsMy ideas is to create and design a system that prevent devices in a dry system called DrumDrips. These DrumDrips are usually located in parking deck to capture build up moisture inside the dry piping so that they do not freeze up. Periodically water must be drained from the drum-drip to keep the system dry. Freeze ups can be very costly and disastrous. My system will monitor the DrumDrips for the present of water and send out a warning and email notification so as to prevent freezing.Water sensor, Temperature sensor and Micro-ControllerI will use Eclipse to program the Samsung Artik 5 micro controller which will send data to Samsung Artik Cloud via wifi for analysis and notification dispatching.
Velu AnanthanarayananAmrita Vishwa Vidyapeetham University, CoimbatoreIntroduction
A smart city is an urban development vision to integrate multiple Information and Communication Technology (ICT) solutions in a secure fashion to manage a city’s assets. The city’s assets include local department’s information systems, schools, libraries, transportation systems, hospitals, power plants, water supply networks, waste management, law enforcement, and other community services.
As vehicles has become a widely indispensable in the modern technology, it is now essential to improve its techniques using the current technology obtained from situational awareness gained from communicating sensor networks safety in the Internet of Things (IoT). This project mainly deals about the allocation of parking slot, finding the nearest parking slot, reducing the vehicle idle time while parking and calculating occupancy rate and payment rate.

Problem Statement
The major issues in the vehicle parking system using navigation helps the users to find the availability of parking slots and navigate them to the nearest parking area, which is available from the user’s current location. The system helps the users to find the nearest available parking slot and allocate them a parking spot from the availability slot, with an entry time, when a vehicle enters into the location. The parking ticket which is provided contains entry time, vehicle number and slot number. After getting into the parking area we can use navigation to reach the respective parking slot using android app designed for the specific parking area. When the vehicle moved to its exit point the slot occupied the vehicle made free for the other vehicles and these information is collected by the database, which is connected with the cloud. Using the data in the database occupancy rate is calculated followed by payment rate based on the occupancy rate.

Uniqueness of the project
The information of the nearest parking slot with the available vacancy in all parking area is displaced in the application. The existing current system provides only the count of vacancy slot when a vehicle reaches the parking area, but the proposed method provides the exact vacancy slot before the vehicle reaches the location. The interface is made to monitor the empty vacant parking space. In added a wireless communication system is used to transmit and receive the data from detection units to the monitoring systems. The current system takes about 30minutes for finding a parking a vehicle whereas this project focus to decreases the time taken, fuel consumption and eradicate driver’s confusion. After entering into the parking area we have navigation to direct us ,so it our time is saved

Motivation of the project
If my project is selected, my first motive is to convert the modules into a real time system with maximum efficiency and to study the drawbacks aroused and to nullify it, which mainly focus on reducing the parking complexity and decreasing the time taken and fuel consumption.

Future work
The project can be made into a large scale environment with more add on features with optimized scalability. Apart from malls and theaters it can be further implemented in largely crowded public areas also by increasing the architecture of the project. Further an automated teller machine can be placed in replace with a worker at entry point to issue parking ticket.

The user may park the vehicle in an area where it is not allotted by the machine. So monitoring is essential to ensure this process.
S No Modules Rate/ Unit No of units Total cost
1 Sensor Modules 300.00 32 9,600.00
2 Arduino Uno 1,450.00 4 5,800.00
3 Wireless Modules 1,100.00 6 6,600.00
4 Raspberry Pi 3 &bAccessories 4,500.00 2 9,000.00
5 Modules for setting up of WSN / WLAN 5,000.00 Assorted 5,000.00
6 Display Units 6,000.00 Assorted 6,000.00
7 Power supplies, Cables,
Connectors and other accessories 3,000.00 Assorted 3,000.00
Total 45,000.00

MQTT, Paho, Python, LAMP
Rajesh Kumar SahuArmy Institute of TechnologyAlthough precision agriculture has been adopted in few countries; the agriculture industry still needs to be modernized with the involvement of technologies for better production, distribution and cost control. We proposed a multidisciplinary model for smart agriculture based on the key technologies:
Internet-of-Things (IoT), Sensors, Cloud-Computing, Mobile-Computing, Big-Data analysis. Farmers, Agro-Marketing agencies and Agro-Vendors need to be registered to the AgroCloud module through MobileApp module. AgroCloud storage is used to store the details of farmers, periodic soil properties of farmlands, agro-vendors and agro-marketing agencies, Agro e-governance schemes and current environmental conditions. Soil and environment properties are sensed and periodically sent to AgroCloud through IoT (Raspberry PI).
Bigdata analysis on AgroCloud data is done for fertilizer requirements, best crop sequences analysis, total production, and current stock and market requirements. Proposed model is beneficial for increase in agricultural
production and for cost control of Agro-products.
Raspberry PI = $38
Xbee module = 2 x $24 =$48
Soil Moisture Sensor = $4
Water Flow sensor = 2 x $6 = $12
Arduino = $28
Eagle , X-CTU, Android Studio, PHP , Amazon AWS , Arduino, Raspberry Pi, LINUX OS
Andrew ShvaykaThingsboardThe solution will allow to call an ambulance after car crash. The idea is based on the following article (EU law):
The solution will consist of the device and the server-side application.
We consider LinkIt-ONE board as a platform for prototyping new device.
Server-side application will be based on open-source technologies.
Key features:
Provisioning of new car devices.
Tracking device location, speed, direction, type and amount of fuel.
Ability to display information about the device and accident on map.
Scalability and fault-tolerance of the server side.
Integration with VoIP cloud platform (probably Twilio).
We will develop this solution as an open-source project available on the github.
LinkIt-ONE board:
CAN-BUS Shield
GPS for tracking.
MQTT or SMS for data delivery.
Server side:
The solution will be build on top of our own open-source IoT platform (we will have first release by December 9 2016) which include data visualization and processing capabilities. Under the hood:
Netty (for MQTT), Californium (for CoAP), Spring, Akka, gRPC, Zookeeper, Cassandra.
Dulitha WijewanthaWSO2Ambient lighting is an idea I have been playing around for a couple of months. The essential idea is to have an Amazon echo type packaging for a smart portable light bulb (cuboid). The design of the cuboid would be such that you can break it down into two cubes.

Ideal use cases
* Auto adjusting lighting when you are working
* Lighting cubes that can be chained together to form light patterns
* Programmable cubes that can alert build breaks etc
* Rechargeable (and chain-able charging)
* SparkFun ESP32 Thing - $19.95
* High-Density RGB 72-LED Strip - 29.95$
* Lithium Ion Battery - 2000mAh - 12.95$
* PowerBoost 1000 Charger - Rechargeable 5V Lipo USB Boost @ 1A - 1000C - 19.95$
* Eclipse Mosquitto
* Eclipse Paho
* WSO2 IoT (opensource product
* MS4j -
Benjamin Brandenbourgerfortiss GmbHWe plan to build a portable and variable automation plant called "f++ in the box" addressing current needs in Indutrie 4.0. The goal consists in evaluating and demonstrating theoretical approaches originating from the domain of industrial automation on realistic but affordable hardware. "f++ in the box" should consist of different modules performing different tasks and which can be composed to a variable plant topology.
Each module is 3D printed and can be controlled by an external industrial control unit with the open source runtime environment forte (eclipse project). The modules will have to contol modes: a basic mode, where each actuator and sensor can be controlled separately. And a skill-mode, where a function-oriented approach is used. The second approach ensures the encapsulation and reusability of the control code.
The control units shall communicate between themselves over OPC UA. A central Raspberry Pi3 runs Eclipse NeoSCADA, collects data from the distributed control units, and visualizes plant information through a web interface.
Bosch-Rexroth IndraControl XM22; Raspberry Pi 3; 3D printingEclipse 4diac, Eclipse NeoSCADA, Eclipse Milo (OPC UA); Bosch-Rexroth IndraControl XM22, Raspberry Pi 3, Festo CECC, mobile device for visualization; Additive manufacturing; maybe AutomationML
Michael GriffinA door lock system for a office or home that can be accessed by just using a RFID tag on a NFC shield. That would allow the person to keep control of access to there home office or garage to ensure security and keep a log of who was in an out. Especially for people with disabilities that they could lock there doors with out keys but with a RFID tag allowing it to be but on to a item and access and lock a door.Raspberry Pi 3, NFC shield, RFID tags, litium battery, Servo - Generic High Torque Continuous Rotation .Eclipse smarthome , raspberry pi3, python
Abhijit NathwaniSo our idea basically works in the connected home and smart home domain. We all have faced problems regarding the burglary at our homes, offices, wherein we lose valuable items from home.

Yes, most of the places now have CCTV cameras installed, to keep a watch on their homes. But they do not help prevent any burglary. At most, we can see who broke in IF his face is not covered. We can then take that tape to the police and see if they can find the thief using that base. That isn't efficient enough as the valuables are already lost and there is no guarantee that the thief will be caught based on the CCTV footage. We just can be careful next time.

How about intelligent intruder system, that guards our home, while we are away at work?
So we plan to develop a smart intruder system that uses sensors to identify burglary and update you in real-time using IoT!
Glassdoor break sensors detect any breaking in through windows, a reed switch mechanism helps identify door tampering.
Using OpenCV/Motion Utility using Pi camera, and PIR motion Sensor we also detect motion detection.
All these triggers, only when user arms the system, using buttons on the module, or the mobile application.
The camera captures the photo of the intruder if any breaking in is detected and sends it to the user and to the concerned authorities/relatives using the MQTT protocol on the mobile application. All the communication would be done using secure MQTT protocols.
- Raspberry Pi 3 - $39.95
- Raspberry Pi Camera - $29.95
- 16x2 LCD - $15.95
- PIR Motion Sensor - $9.95
- Enclosure - $8.95
- Other Discrete components - $45
The embedded board we will be using would be running on Linux.
Using the Eclipse Mosquitto project, we would be setting up our own MQTT Broker using Amazon Web Services.
Using the Eclipse Paho project, we would be interfacing MQTT protocol with Python, through which we would be running our code.
Also, the Paho project would be used to develop the Android Mobile Application using Android Studio.
Secure MQTT is one of the most efficient technology used in M2M applications, and is best suited for our needs.
Md Shifuddin Al MasudTechnical University of MunichSmart Storage: This is an idea to develop smart storage system by leveraging IoT. First of all, we planned to introduce one RFID tag to each product in the storage and then use RFID tracker to read the total number items of a particular group e.g. milk box and communicate to the Raspberry Pi. Through Raspberry Pi the updated and processed data can be linked to a mobile application to user’s device. This would definitely facilitate the user to be inattentive to his storage and rely on auto generated report. We also planned to apply machine learning to detect user habit and act more intelligently as our future extension.RFID tags (at least 3), RFID reader, Raspberry Pi, LEDs, Breadboards, Mobile phone, Connectors (USB or wired).1) RFID tags will be attached to the items needed to be tracked.

2) RFID Tracker will be placed to track near field communication.

3) Raspberry Pi will be connected with the RFID tracker.

4) NODE RED will be installed in Raspberry Pi to form the operation of getting data from RFID tracker, analysis, and send to the mobile device.

5) LED indicator to indicate whether the tracked data is showing the shortage of items and can be sent to the mobile device. Red indication means shortage and Green means the opposite and no need for sending message.
Arun MageshAttifyTo build a low cost/power sensor network to monitor the quality of water from your house tap and analyzing the data of multiple houses and use predictive algorithm to find the water channel that needs maintenance. This helps customers to predict solution in utilizing different stage of water purity.1. LORa Module(SX1272)
2.Arduino pro mini
3. Few Sensors
4. Li-Po( Working on using flow sensor to draw power)
2. Eclipse Whiskers (Gateway)
3. Laser refractive Method(Sensor)
David AshrafInDots*Easy to use and install , low power , plug and play and affordable Safety and security solution for Smart Homes
*The user get notified anywhere with security and safety alarms and can control completely his home through a mobile application
*The proposed nodes are
- Intrusion detection sensor for doors and windows
- Gas leakage sensor
- Smoke and Fire Alarm
- Gas Controller
- Water valve controller
- Smart plugs that can control the devices (on-off ) , save standby power and protect the devices from unstable current
- IR controllers for AC & TV
Zigbee modules (JN5168-001-M00) , Jn5168 usb dongles, Raspberry Pi 3 , smoke sensor , gas sensor , PIR sensor , magnetic door switchZigbee HA , NXP Zigbee solution (JN5168-001-M00) ,Raspberry pi 3 , Linux OS for the hub, python web application ( Django Framework) , Android for mobile app
András VörösBudapest University of Technology and EconomicsThe growing number of IoT devices such as sensors, gateways and other information sources necessitates the application of model based techniques to handle complexity. There are many open-source tools to support the handling of IoT devices such as Eclipse Kura and Vorto, however their modeling support is still very weak. In addition, the integration of such tools is difficult.
In our work we aim to integrate these technologies and provide an abstraction layer to automatize the definition and deployment of IoT systems. We plan to provide a language from which the configuration of these open-source tools is feasible and automatic code generation is used to automatize the development.
Our solution will be both demonstrated with our "Model-based Demonstrator for Smart and Safe Systems" demonstrator system and also our effort to build a smart laboratory at our University.
We will need embedded computers, gateways and sensors for our work. We plan to use a diverse set of devices to evaluate the solution under various circumstances. Our demonstrator system will contain a set of Raspberry Pi-s, Arduinos and ESP32 devices, and a large number of different sensors such as temperature, humidity, noise, smoke.Eclipse Kura, Eclipse Vorto, Viatra, Viatra Query, Eclipse Paho, Mosquitto, MQTT, Ansible, Raspberry Pi, Arduino, ESP,
Manas ChhabraTic Tac Toe Soccer(TTTS) is a sports training/gaming installation for soccer trainees/enthusiasts with the target to cater to sports education in schools and sports academies and simultaneously encouraging making in schools through open source. It is made out of pvc pipes and can be installed on walls preferably having the size of a goal post (8ftx24ft). It is of the shape of the game of tic tac toe which has 9 grids. TTTS has three modes: Training, Match, Advanced. In training mode, one or two player can practice targeting shooting on wall as instructed by third person through IOT features. In match mode, Either one player can play game of tic tac toe with computer or through connected cloud with a player in other physical location or two players can compete and decide the win as decided in the game of tic tac toe. In advanced mode, through the use of basic AI algorithms performance of player on specific grids is analyzed and targets are generated to shoot based on weak areas or suggestion leads as generated.Rasberry pi ,SensorsREST API , CoAP californium, Eclipse whiskers, Low power Wifi,Android,
Sanjiv LoboSecurity in IOT has become a major concern and its implementation with the current, existing infrastructure is quite problematic. The aim of our idea is to create a module that can connect to any device(sensor or media input) and based on its own requirements and protocols send the data after encryption to the proper receiver. The method of encryption will be AES, a modern encryption standard. To ensure proper authenticated connectivity, every device will have its own unique identification code associated with a user account. Thus, the end deliverable will be a module where different sensors can be connected to(wired and wireless), a web interface to help setup these devices and a server to help in sending and/or storing the data as per the users wishes.Raspberry Pi 3 X 2 - $35 X 2
Webcam X 2 - $20 X 2
Temperature sensor - $7-8
Ethernet cables X 2 - $10
Hardware to be used:-
Raspberry Pi, Webcam, Temperature sensor, Ethernet cables, Connecting wires, MIni usb adapters

Software to be used:-
Python/Java (for implementation), Erlang(for server side coding)

Standards to be used:-
Advanced Encryption Standard(AES)-128 for encryption
TCP(for media streaming)
MQTT(for sensor data streaming)
OTP/OAuth(for user authentication)
PARVEEN KUMARIn the World of fast moving vehicles, drivers are being irresponsible which results in accidents and in many cases the injured person doesn’t get the medical facility on time. And in most cases even if the medical assistance does arrive, the victim is far long dead. And that's where our project comes to the picture.
We've designed a system to embed a black box (automated data processing system) inside automobiles ,which will be connected to the cloud and in case it senses an accident, the system will send the necessary information(like location of the accident) to the nearest hospitals for ambulance and emergency treatment request. After that it will be the job of hospital to make sure that the help is reached to the victim as quickly as possible. The efficient algorithm has been implemented while selecting the nearest hospitals. After processing of data, it will inform the provided emergency contact numbers(like family members) about the accident involving the details of the hospital the victim is being taken to, through a text message.
voltage), CAMERA
Aman GargGalideoThe project involves building the internet of food. This will include building technology that predict food shelf life , rotting through image processing and sensor data. This can then be developed into a database for connected refrigerators where the food will be monitored for real time prediction system.a micro controller (similar to raspberry pi/preferably FPGA microcontroller) , TI NIRscan device for spectroscopy analysis, multiple gas, temp,. humidity etc sensors. a camera similar to picam or other device for capturing image for texture analysis. additionally some basic electronics stuff.microcontroller, kura, coap, python, opencv
Vyacheslav TrushkinEPAM Systems, Inc. Our project may be called as "Smart parks and recreation". We're going to implement a platform for integration several applications for parks (such as "trashcans monitoring", "intellectual light control", "environment monitoring", "navigation", "BBQ monitoring/booking", "parking", etc.). And the end of the contest we'll provide the platform and applications with ready to use hardware.RPI, LoRaWAN adapters (not selected yet), XBee 802.15.4, ESP8266Kura, MQTT, mosquitto, LoRaWAN, 802.15.4, WiFi, RPI, ESP8266
Ken HerronUnified Inbox Pte. Ltd.Intelligent IoT Messaging for TTN

With Intelligent IoT Messaging for The Things Network, anyone running a TTN Low Power Wide Area Network gateway can seamlessly use UnificationEngine™ intelligent IoT messaging services for any devices and sensors connected to their gateway.

Using open standards and open source technology, the intelligent IoT messaging for TTN will allow TTN gateway users to quickly and easily build solutions such as:
• Patient monitoring systems
• Collision detection systems
• Worker fatigue systems
• Parking space finders
• Air quality sensors
• Water quality sensors

• The Things LoRa Gateway
• Raspberry Pi

• Node-RED, either by itself or in combination with Raspberry Pi
• The Things LoRa Gateway
• UnificationEngine
• Node.js
• Golang
• Java

Pavan Kumar S NMicrojiot Technologies (I) Pvt LtdMilitary helicopter Advance Landing light (LED Based ) with IoT & Touch-screen Controlled.Ti-CC3200MOD for IoT and wifi data access , Two-BLDC 3Phase Motors for Horizontal & Vertical Movements , LEDs & IR LEDs for 3Lak Cd with LENs and Aluminum Encloses , DC-DC Drivers for Motor Control from MUC and Wifi comm, stm32f746-disco and many Converters and Modules for Full End -product.MicroEJ for stm32f746-disco , Eclipse ME, Hardware as Per MIL-STD 810F and 704D , wifi CC3200 and Other Sensors for Precise Motor control and Converters for Driving LEDs and Motors with Real time Info.
Alex VishwaVIOM VYOM IOT MachinesSMART FARMS-The agriculture sector needs to be boosted in US,India,China and other countries to help farmers.In India,peasants live a tough life and are losing their livelihood.We wish to transform their life from defeciency to self-sufficiency and more.People will be supported by machines to increase produce and get proper certifications for using better methods in farming.VR could be used for remote control.ECU(Electronic Control Unit)- 400$,NPK Sensors,we have made an advanced soil moisture detector and applied for patent.Eclipse Paho,ECU-Electronic Control Unit,Arduino,RF modules and esp8266,Mqtt and CoAP protocols will be used.
Chetan BasuraySmart IoT Postbox which sends the owner an email every time there is a new letter put in the postbox.Arduino UNO & Genuino UNO, idIoTware Shield idIoTware, Everything ESP ESP8266 ESP-01, Generic Jumper (0.1"), 9V 1A Switching Wall Power Supply, USB-A to B Cable, idIoTware ShieldArduino IDE, IFTTT Maker Channel
Christian VollerHHM - Home Heating Management. Monitor, Control, Predict,... 2 Raspberry PI 3(WLAN, BLUETOOTH). First one as a Gateway for running Eclipse Kura with some Bluetooth sensors (Texas Instruments CC2650STK)… and connecting our central heating device(Linux).

Second one maybe with Touchscreen running as the central HomeHeaterManagement (HHM) Console… running some visualization,… control SW,…
SmartHome, Kura, Kapua, RaspPI3, MQTT, AMQP, Elastic, Kibana, Apache Camel
Anderson Joyle Ferreira da SilvaJoyleA smart desk for students, with embedded display. The functions would be closer look (zoom) at blackboard, converting teacher's handwritten content into text (like PDF), display contents from websites (chosen by teacher) directly into embedded screen and other functions.Raspberry pi 3, raspberry pi display, camera.Pah.mqtt.Python, raspberry pi 3, BLE, Android.
Shrinivas DodamaniAccentureSmart Sensor Based Intelligent Waste Management Application Using SAP HCP + IOTUltrasonic &Temperature Sensor, Arduino Uno or RaspberryPi Borad, LAN CableSAP HANA Cloud Platform for IOT, Eclipse, Arduino Uno or RaspberryPi Borad
Yasith LokugeCobweb IOProviding an IoT platform as a SaaS would be beneficial to a large audience, be it the corporate giants who require to keep track of the sales of their products around the globe, or the general user who requires to get an alert if an intruder attempts to enter his house while he’s on vacation. Therefore, rather than constraining to a specific problem, the focus of this project is to allow users to access this service via a web browser, thus allowing them to address numerous requirements of theirs as necessary.

Consumers tend to like products which they have the potential of trying out for free. As many products accessible through web browsers, this would be user friendly and comprise of an intuitive user interface. Considering the fact that the majority of persons are not alien to social networking, the concept of device networking would be easy to adapt to, whereas the ease of access of Cobweb would undoubtedly appeal to many. Pilot tests have already been executed for ensuring performance of the product.

Cobweb is a social network for internet of things. Instead of the Internet of Things, we are thinking about the Social Network of Things. To take advantage of this shift, we are thinking about the social life of the products. Cobweb allows different devices to start "collaborating around a shared purpose" together.
We need several IoT hardware products to be connected to our hub and also need hardware gateways to access our hub. So we will need those devices for testing purposes. We are not limiting a particular hardware product as a gateway, but can use any device (a raspberry pi, mobile phone, apple homekit) as a gateway to our hub.Eclipse Mosquitto MQTT, Eclipse Paho CoAP, Eclipse Kura, Apache Shiro, WSO2 APIM, WSO2 DAS, WSO2 IS, (All opensource)
gwendal toullecpollution and dangerous gaz monitoring with raspberry and gaz sensors. Web monitoring with map and androidd application to alert people wich are in dangerous area.raaspberry 3, huawei usb modem, sensors: gaz, noise, lightraspberry, gaz sensors, pubnub and eon, java, mapbox, google map, android, eclipse, kura
Mohamed Zuhry FayeszPickMeCritical patient monitoring and instructing via Social Messeger BotRaspberryPi 3, NodeMCU ESP8266, SIM 808 GSM ModuleMosquito MQTT Broker, REST API via NodeJS, Facebook Bot and Messaging API
Alexandr RomashkoEPAMTV (and other devices) improved front\ backlight regulation based on the screen contents and other sources including smart home sensors.1.IP Camera with movement 5 ghz
2.Raspberry PI with WI Fi 5 ghz
3. RGB led with independent control e.g.
4. Wi fi Router.5 ghz
5 weather station with IP connectivity.
Eclipse SmartHome , Independently communicated RGB LED stripes, OpenCV
Mahdi SMIDANational Engineering School of TunisSOLUTION NAME : SMART SHERIF
for example To help Tunisian police to inform them about any attack or any accident we need smart application connected to a smart center of police to recieve the information and the localisation in few than one minute ! with this solution we can not use the hotline anymore and the probability to help someone will be bigger.
Raspberry pi , arduino..Java / j2EE , smart center , android..
Stephen WestPet Video VerifyPet Video Verify is an exciting start-up company in the newly emerging field of pet tracking devices located in the Raleigh/Durham area of North Carolina otherwise known as Research Triangle Park. Pet Video Verify offers mobile and web-based software solutions and utilizes a 360 degree video identification system for pet owners to track their pets.

It is the vision of Pet Video Verify to ultimately serve as a one stop website and mobile application where key stakeholders can utilize its multi pronged services of pet identification, online pet medical records, pet items for sale by owner market place, pet coupons directly to the user, new pet supplies, pet photo contests, and funny pet videos to satisfy all their pet needs.
Servers and personal computersEclipse to write code, Amazon Web Services, Apple Developer, Laptops, Desktops
Fengbo XieWingspan TechnologyCloud-based Collaborative Picture Archiving and Communication SystemRaspberry Pi 3 Model B (with Power Supply) x 5 , MicroSD card (32GB) x5MQTT, Paho, Kura
Luca Degli EspostiIOOOTA S.r.l.Jarvis transforms your life by joining your physical products in a unique experience to save time and money in a simple and fun.We have created a custom hardware project but very similar a Raspberry Pi.Our solution Jarvis is based on Eclipse SmartHome project and inside Jarvis, we are using different protocols (like MQTT, WiFi, BLE, ZigBee, ZWave, EnOcean, Thread) and we are inside different associations (Energy@Home, AllSeenAlliance and ThreadGroup).
Tejaswi GowdaFoxDen IoTAn Internet connected bulbESP8266 (nodeMCU), custom designed PCB and housing.PWM for dimming and colors. MQTT for messaging (via AWS IoT), Open hardware based mcu ( Open source libraries (
Mehmet ErdasILIMDAR Ltd.WebServer, HMI, CAD CAM CNC Machines Interfaces, Simulation Program for Virtual Reality, Embedding machines Interfaces into Smart factory 4.0 to enable the end to end automated production of spare parts for automotive, supply chain of 25.000 EUR hw and SW BudgetEclipse ECC
Robert GallasIoT platformRaspberry Pi, PCAttempt to implement W3C WoT standard in Go.
SHAFEEQ RAHMAN.PSTUDENTPollution contents Measuring the quantity like carbon dioxide,carbonmonoxide etc.checking Air pollution,Noise pollution etc,the measuring results are published to the internet.The method is very helpful to calculate the atmosphere pollution.Internet Of Things
Marcos OAPOIKOSProblem:

According to a report by the UN Commission on Human Rights, it is estimated that there are over 100 million people who do not have a home and so live on the streets of major metropolitan centers around the world. The number represents about 1.5% of the world's population and only increases each year.


We believe that there are ways to achieve social and economic justice through technologies for the good of all people. We believe in equality, that everyone has the right to own a home, a place to live in. Taking a look at the increasing of poverty conditions of people living in streets we started this project with the mainly mission of understanding how we could help their needs and inclusion in society.

For this aim, we present you “OIKOS”, a low cost, smart and accessible house for the social inclusion of homeless people. Our solution consists in a literal house with a Parametric Design made of recycled material, such as cardboard. Low cost solar panels are also available in each Oikos house with the aim to charge during the day offering led light at night and energy. Oikos comes with colourful cultural-concept paintings that can bring beauty and life into the cities.

The Oikos houses are connected to each other forming a P2P network inside our IoT system and Wearables with a Context Sensitive program. Thus, it is possible to create a georeffered map of the needs of each oikos’ resident. The Oikos house is equipped with “buttons of needs”, as for exemple one for food and water and another for clothes and higiene things. This data will be send to an community app to establish the relationship from the oikos’ residents with the society promoting inclusion and social participation of all. Our Smart City system is responsible for all this data consolidation, generating a connection between the society and the people in need.

With the app, each user may donate a percentage of their internet for the oikos’ residents. With that, oikos’s residents can have access to internet.

A vision of future for the Oikos houses is that can become big energy generators for the population giving back what they received, establishing a sustainable exchange movement between the society and the oikos’ residents. Possible partnerships with online courses institutions can be made with the objective to offer a professionalizing opportunities for the Oikos residents.
• 2 Raspberry
• 1 ESP8266
• RF wireless

• 1 Arduino
• 1 RF wireless
• 1 ESP8266
• 2 Round Solar Panel Skill Badge - 5V / 40mA
• 2 Lithium Ion Polymer Battery - 3.7v 500mAh
• 10 White led lights
• 1 RGB led lights
• 1 LM35 & accelerometer
The system is composed by 2 main elements:

• Devices
• IDE: Eclipse C/C++ with plugin
• C/C++
• Test framework: CppuTest
• Security mindset
• Gateway
• Javascript
• Nodejs
• Johnny-five or cylon
• MQTT protocol
• TDD: Chaijs
• CI, CD
• Security mindset

• MQTT Broker Mosquitto or Paho)
• Cloud application (Cloud Foundry or Heroku)
• IDE: Eclipse Java
• Web service application
• Android app
• Java
• Test framework: Junit
• Security mindset, Milo
• CI, CD
THEJESWARAREDDY RMOBODEXTERSimple smart home controlling Gateway DevicesRaspberry Pi 3 with relay board and power calculation board.Hardware and Linux Programming
Chandan RanaHarman Connected Services CorporationeCommerce/Warehouse managementEclipse,python,nodejs,html,raspberry pi
GUILLAUME LEPREVOSTnew healthcare prog environnementrasperry pi cutomizedLinux + Eclipse (to be align with ISO à max)
Mark FrancisPesaplyA simple Yet Powerful BTS hardware Gateway for java cardarduino kitEclipse projects , Java Card
Riccardo CervelliStudio Tecnico CervelliModular domotics systemArduino, Raspberry, sensorsOpen source standards, Eclipse as IDE
Preetam BalijepalliEducation at remote villages with IOTEclipse , MicroEj, Bitreactive , Redhat , Rasphberry Pi, Java ,Big data
santhosh kumarcognizantplan to make farming as a IOT projectEclipse projects
calogero di minowkiSmart studentHw open iot aws solutionAWS, arduino, octoblu
Abdelaziz ELOUARAKNobulaSmart shopArduino, nodejs
Shyamal JayapathmaVip Networknewsone is my news web site . it will be srilanka's largest newst network$200hardware
Kuber SinghBuilding a framework for Providing Integration solutions for the Devices available catering to Transport, Health Care and other domains.MQTT
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