Trashinator
Sort it Out!
Team 4 - Kiyaranu | Xaviera | Irfan | Quamran | Nishant
Background
Only
13.5%
Waste
Managers
High Cost
of the total waste
undergoes recycling
use a lot of resource to manually sort the trash.
cost of trash collection
is higher than the cost of processing trash.
401,658
418,214
429,128
429,531
446,102
497,238
2014
2015
2016
2017
2018
2019
Background
Total amount
of Waste
Plastic Waste
Sorting Problems
Source: Ministry of Environment
Unit: tons per day
Total amount of Waste
Surge in food deliveries by 17.7%
during COVID
Shows a proportional increase with increasing trash
GOAL?
Efficient garbage sorting for garbage collection
Trashinator
Your trash-sorting companion
A minimalistic and affordable appliance that uses AI to categorize and sort trash based on their type and provides its users with analytics (powered by SAP) on their waste disposal habits
What is it?
Feature set
AI-based waste classification and sorting mechanism
7 Distinct Waste Container Suitable for All Household Waste types
Real-time waste level monitoring and waste usage analytics
Convenient and Easy-to-Use
Automatic Waste Sorting
Provides Insights on Waste Sorting Benefits
Easily Accessible
Reduces the time-cost of waste sorting
Eliminates any confusion on how to categorize waste
Reduces chances of waste missorting
Increases awareness of waste missorting impact and importance of reusable materials
Friendly design allows the placement of Trashinator inside of homes
I am Irfan!
(22)
Occupation
Student
Hobby
Studying, working out
Goal
To efficiently use his time while studying, working out, and performing household chores.
Pain Points
Too much time spend on studying and therefore too lazy to sort his trash
Unable to identify trash properly, and properly manage them.
390M
SOM
1.94B
SAM
22.2B
TAM
Household in Korea
Student enrolled in university in Korea
Student live in dormitory (20% of SAM)
TAM SAM SOM
*Assuming the product price of 100.000 won
Technology Architecture Diagram
Docker
Dataset
Training Result
Detect trash type
detection result
Sort based
on the type
User
trained model
result and statistic
SAP AppGyver
SAC
Camera System
PlatformIO
Sorter System
AWS S3 Bucket
SAP HANA DB
SAP CAP
SAP AI Core
SAP AI Launchpad
Hardware
AI
Backend and Frontend
OData
Docker
Dataset
Training Result
Detect trash type
detection result
Sort based
on the type
User
trained model
result and statistic
SAP AppGyver
SAC
Camera System
PlatformIO
Sorter System
AWS S3 Bucket
SAP HANA DB
SAP CAP
SAP AI Core
SAP AI Launchpad
Hardware
AI
Backend and Frontend
OData
AI
Two trash type: plastic, paper
Use small size CNN
Docker
SAP AI Core
SAP AI Launchpad
HC-05 Bluetooth Module
H5 → tflite → cc
Upload the cc file to ESP eye
Detect the trash
Upload the result to Kyma
Hardware
HC-05 Bluetooth Module
Arduino Uno MCU
Servo Motor
Espressif ESP32-EYE
Back-end and Front-end
SAC
Primary key
Type of trash
SAP HANA CLOUD
SAP AI Launchpad
Back-end and Front-end
AppGyver
Model Creation
SAC
SAP HANA Cloud
Back-end and Front-end
SAP HANA CLOUD
AppGyver
Story Creation
SAC
Back-end and Front-end
SAP HANA CLOUD
AppGyver
Filters in Stories
SAC
Back-end and Front-end
AppGyver
Demo
Scalability and Future
Partnering with Government
Expanding Product Line
R&D to improve performance
Educational Materials
Thank you