Pi 5 Mining Safety AI Monitor
Raspberry Pi 5 Mining Safety AI Monitor Kit — Real-Time Hazard Detection and Classification
Every part needed, pre-tested for compatibility, with an AI build companion trained on this exact project. Shipped from Bengaluru in 3-5 days.
Underground mines face constant threats from toxic gases, flammable vapours, and ground vibrations. This kit equips you to build a real‑time monitoring system that uses a Raspberry Pi 5 and multiple gas and motion sensors to classify hazards instantly — a project with genuine life‑safety applications. Perfect for engineering students, hackathon teams, and anyone who wants to see AI hardware in action.
What You'll Build
You’ll assemble a sensor array that reads carbon monoxide, combustible gases, air quality, and vibration data, process everything on the Pi 5, and run a trained multi‑class classifier to identify hazards like toxic gas leaks, fire risk, or unsafe vibration levels. The system logs events to an NVMe SSD and can trigger visual or audible alerts — a complete edge‑AI safety monitor.
What You'll Learn
- Integrate MQ‑series gas sensors (CO, flammable gas, air quality) and a digital accelerometer with Raspberry Pi 5 via GPIO and I2C.
- Collect and pre‑process time‑series sensor data for machine learning, including normalisation and windowing.
- Train and deploy a multi‑class classification model on the Pi 5 for real‑time hazard identification — no cloud required.
- Build a safety monitoring dashboard with local storage, alert logic, and optional MQTT integration.
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | 1 |
| MQ-7 CO Sensor | 1 |
| MQ-2 Gas Sensor | 1 |
| ADXL345 | 1 |
| MQ-135 | 1 |
| NVMe SSD 128GB | 1 |
| Pi 5 M.2 HAT+ | 1 |
| USB-C PSU | 1 |
| M-M Wires | 20 |
Why Buy This Kit Instead of Sourcing Parts Separately
| Factor | Sourcing Separately | Compoden Kit |
|---|---|---|
| Compatibility checks | You verify every part | Pre-tested as a system |
| Build support | Forums and scattered tutorials | AI companion trained on this exact project |
| Time to first working build | Days of debugging | Hours, with step-by-step guidance |
| Shipping coordination | Multiple sellers, multiple delays | One shipment from Bengaluru in 3-5 days |
Who This Kit Is For
This kit is ideal for B.Tech ECE/EEE students working on IoT safety projects, Smart India Hackathon teams tackling mining or industrial safety challenges, and ATL Tinkering Lab mentors guiding advanced sensor‑AI prototypes. CBSE Class 11–12 students exploring AI sensors will find a compelling real‑world extension beyond textbook experiments.
Built and Backed by Compoden
Every Compoden kit ships with an AI build companion trained on this exact project — accessible via a QR code on the box, with WhatsApp and email backup. We've spent 10 years building projects for makers, schools, and institutions across India. If a part fails because of a manufacturing defect, replace it free within 7 days.
What if I get stuck during the build?
Open the AI companion from the QR code on your kit box; it has been trained on every step of this exact project. If you need a human, our WhatsApp support team replies within a few hours.
Can I test the hazard detection without going into a mine?
Absolutely. The sensors respond to common sources — a lighter for flammable gas, a candle for CO, tapping the ADXL345 for vibration — giving you realistic training data right on your desk.
Do I need prior machine learning experience?
Some basic Python knowledge helps, but the AI companion walks you through data collection, model training, and deployment on the Pi 5 step by step. You can start experimenting immediately.
How accurate is the hazard classification?
The pre‑trained model achieves over 90% accuracy on the included gas and vibration patterns. You can fine‑tune it with your own data to improve performance for specific conditions.
Gas, vibration and oxygen sensors feed a multi-class classifier on Pi 5 — real-time hazard classification for underground safety.
What's in this kit
Shipping Information
- Prepaid Orders: ₹75 for orders up to ₹999, FREE shipping above ₹999
- COD Orders: ₹125 shipping + ₹50 COD fee = ₹175 total
- Delivery Timeline: Dispatch in 1-2 days, delivery in 2-7 days depending on location
Returns & Warranty
- 7-Day Return: Manufacturing defects only (approval required)
- Warranty: 7 days from delivery
- Non-Returnable: Batteries, consumables, cut wires, clearance items