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Emergency Sensor Gauntlet

Mechsense Labs

Kevin Navarro, Hamdi Korreshi, Cristian Garcia, Ferit Altay, William Otto

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Problem Statement:

Identified Problem: Over 100 firefighters pass away annually and 45% of firefighter deaths are due to sudden cardiac events from prolonged stress, strain, and smoke. Both First responders and victims are at risk in natural disasters due to a lack of reliable integrated information on one device in a low signal environment.
Target Audience: Search and rescue operators, Emergency Medical Services, and First Responders in natural disasters.
Themes: Monitoring the environment for specific details like smoke, temperature, humidity, and an individual’s pulse.

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Project Description:

Importance of the Problem: In natural disasters, having one device that has vital sensors accessible to emergency personnel can significantly reduce risk towards the operators and the located victims.
Solution Overview: The emergency sensor gauntlet has four points of data that is accessible for the user while they are focused on the current situation. The data is displayed continuously and in a minimalist fashion to not distract the user unnecessarily.
Unique Value Proposition: Existing solutions are limited in having one point of data per device. Our solution has multiple sensors on the arm for the user while they are in a search and rescue environment.

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Technical Description:

Hardware Components: Main hardware owned by the team: Raspberry Pi 4, Touch Screen for Pi 4, Flash Light, Pulse Sensor, Power Brick, Arduino UNO
Main hardware given by NJIT: Temp/Humidity sensor, Flame sensor
Software & Tools: Arduino IDE, Thonny, VS Code, Fusion 360, Cura Slicer, Orca Slicer, FastAPI, HTML/CSS + JS, Python

Mechanical Assembly

Electrical Diagram

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Technical Challenges:

Technical Challenges: gpio voltage mismatches, timing concerns regarding peripherals, power supply concerns, serial and parsing communication between the Pi and microcontrollers. Mechanical fitting for user comfort. Manufacturing techniques for reliability and modularity.

ESP32 Sense

Uno R3

Pi 4B

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Use Cases:

Use Cases:
Natural Disaster Response and Victim Recovery,
Search and Rescue Operations,
Fire and Structural Emergency Response,
Racing Sport Safety such as Formula 1,
Hazardous Environment Operations.

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Demo:

Future Work:

Reducing reaction time is the most critical factor in rescue operations.
Voice detection and voice recognition capabilities will be integrated into the system, enabling hands-free control
Build a comprehensive dataset from previous rescue missions, combined with clinical data from hospitals, will enable on-site diagnosis and treatment guidance.

By leveraging this data, the system could provide real-time decision support to rescue teams, significantly reducing the time between patient contact and appropriate medical intervention. Ultimately, this system is designed with a dual-protective purpose: safeguarding the health and safety of rescue personnel through environmental monitoring and hazard detection.