SAFE-T Band is an IoT-powered real-time health & safety monitoring system designed to enhance worker safety in industrial environments. It continuously tracks vital signs, detects emergencies, and provides instant alerts using ESP32, MQTT, AI, and a Spring Boot-powered dashboard.
✅ Real-time health monitoring
- Tracks heart rate & SpO2 using MAX30102 sensor.
- Monitors body temperature for safety assessment.
✅ Emergency SOS Alerts
- Integrated TP223 touch button for instant distress signals.
✅ AI-Powered Health & Safety Analysis
- Uses machine learning to assess health risks.
- Classifies worker status: Green (Safe), Blue (Warning), Red (Critical).
✅ Factory Environment Monitoring
- Measures air quality via gas sensor.
- Monitors temperature & humidity using DHT11.
✅ Seamless Real-time Communication
- MQTT-based messaging ensures instant data exchange.
✅ Comprehensive Admin Dashboard
- Centralized Spring Boot & React.js dashboard for monitoring alerts & reports.
| Technology | Purpose |
|---|---|
| ESP32 | Microcontroller for sensor data collection & alerts |
| MQTT (Mosquitto Broker) | Real-time communication between devices & AI |
| Python AI Server | Health analysis & risk assessment based on sensor data |
| Spring Boot | Backend API for admin functionalities & data processing |
| React.js | Interactive web-based admin dashboard |
| Raspberry Pi | Hosts AI processing & MQTT broker for seamless data exchange |
- Connect ESP32 with MAX30102, TP223, Gas Sensor, DHT11.
- Configure MQTT broker on Raspberry Pi or cloud.
- Deploy Spring Boot API for handling data.
- Set up MQTT broker for communication.
- Run Python AI server for real-time health assessment.
- Launch React.js dashboard for live monitoring.
🔹 Click on the thumbnail above to watch the SAFE-T Band in Action!