05 / IoT · Group project
IoT Safety Monitoring System
Real-time monitoring. Smarter safety.
A wearable ESP32 helmet that tracks a miner's zone, gas levels, temperature and falls — streaming to a live supervisor dashboard and firing Telegram alerts when a reading crosses the line.
- Team
- Team of 3
- Period
- 2025
- Status
- Delivered
- Year
- 2025
The problem
Underground, the two things a supervisor cannot see are where a worker is and what they are breathing. By the time either becomes obvious from the surface, it is an incident report rather than a warning.
How it was built
- 01
Wrote the ESP32 firmware in C++ to poll MQ-135 gas, DHT11 temperature and humidity, and MPU6050 accelerometer data on a fixed cycle.
- 02
Authenticated each worker at the helmet with an MFRC522 RFID reader, so telemetry is attributed to a person and a zone rather than to a device id.
- 03
Streamed readings to Firebase Realtime Database, which gives the dashboard a live subscription instead of a polling loop.
- 04
Detected falls from MPU6050 orientation deltas and fired Telegram alerts on threshold breaches — the alert reaches a phone already in the supervisor's pocket.
- 05
Built the supervisor dashboard in TypeScript for live zone, gas and status views across all active helmets.
What shipped
- Live dashboard deployed at minelivemonitor.systems.
- Full pipeline from sensor to cloud to alert: ESP32 → Firebase RTDB → dashboard and Telegram.
- Three-star repository combining C++ firmware with a TypeScript web dashboard.
In one paragraph
The IoT Safety Monitoring System is a smart safety helmet for underground miners. An ESP32 reads gas levels (MQ-135), temperature and humidity (DHT11), motion and falls (MPU6050) and worker identity (MFRC522 RFID), streams telemetry to Firebase Realtime Database, sends Telegram alerts on threshold breaches, and feeds a live TypeScript supervisor dashboard hosted at minelivemonitor.systems.
