An advanced ESP32-based worker condition monitoring system that collects biometric and environmental data through multiple sensors to ensure worker safety in real-time.
Real-time data collection from multiple sensor types for complete worker safety oversight
Advanced 9-axis motion detection with fall detection capabilities
Complete environmental condition tracking for worker safety
Real-time health monitoring with advanced pulse oximetry
Modern web interface with real-time data visualization
Built with modern technologies and industry-standard components
Asyncio WebSocket server with aiohttp
Dual-core microcontroller with WiFi
Lightweight database for sensor data
Interactive data visualization
3D orientation visualization
Real-time bidirectional communication
Get your worker monitoring system up and running in minutes
Connect your sensors to the ESP32 development board:
Download the project and install dependencies:
git clone https://github.com/he1senbrg/worker-monitor.git
Update WiFi credentials and flash the ESP32 using PlatformIO IDE. Configure server connection settings as needed.
Run the Python server and access the web dashboard to view real-time sensor data and worker condition monitoring.