Kitchen LPG Gas Alarm Kit v2
Raspberry Pi 5 Kitchen LPG Gas Alarm Kit — Multi-Sensor AI Hazard Classifier
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 kitchens and confined cooking spaces face overlapping risks — LPG leaks, carbon monoxide buildup, smoke, and unexpected vibration from equipment faults. This kit turns those raw sensor streams into a real-time safety classifier. Using four different sensors and a Raspberry Pi 5, you’ll build a system that doesn't just beep—it distinguishes between hazard types and prioritises alerts for the one that needs immediate action.
What You'll Build
You’ll assemble a compact monitoring station that reads MQ-2 (combustible gas), MQ-7 (CO), MQ-135 (air quality/smoke), and an ADXL345 accelerometer. Sensor data is fed into a multi-class classification model running on the Pi 5, stored on the high-speed NVMe SSD. The output can drive a local alarm, log events, and optionally send alerts over Wi-Fi. Whether it’s a slow LPG leak under a counter or CO accumulation in a basement kitchen, the classifier distinguishes the hazard and reacts accordingly.
What You'll Learn
- Interface and calibrate multiple analog gas sensors with a Raspberry Pi 5
- Collect labelled sensor data and train a multi-class machine learning model
- Deploy a TensorFlow Lite classifier on the Pi 5 using NVMe SSD for low-latency inference
- Fuse vibration data with gas readings to filter false alarms and identify equipment-related hazards
Kit Contents
| Component | Quantity |
|---|---|
| Raspberry Pi 5 4GB | x1 |
| MQ-7 CO Sensor | x1 |
| MQ-2 Gas Sensor | x1 |
| ADXL345 | x1 |
| MQ-135 | x1 |
| NVMe SSD 128GB | x1 |
| Pi 5 M.2 HAT+ | x1 |
| USB-C PSU | x1 |
| M-M Wires | x20 |
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
B.Tech ECE and EEE students building IoT safety projects for Smart India Hackathon will find the multi-sensor fusion and AI edge deployment directly applicable. CBSE Class 11–12 students exploring advanced sensor integration can use the guided build to leap ahead in practical electronics. Atal Tinkering Lab mentors and IIT/NIT/VIT project groups working on underground safety or smart kitchen systems can accelerate from concept to working demo in a weekend.
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?
Scan the QR code to launch the AI companion trained on this exact kit; it will walk you through wiring, code, and model deployment. You can also connect on WhatsApp for human support during Indian business hours.
Does this kit detect only LPG?
No. The MQ-2 covers LPG, methane, and butane; the MQ-7 targets carbon monoxide; the MQ-135 adds sensitivity to smoke and airborne pollutants. The multi-class classifier is trained to distinguish these hazards, so you get specific alerts, not just a generic beep.
Can the system send alerts to my phone?
Yes. The Raspberry Pi 5 has built-in Wi-Fi. The build companion guides you through setting up Telegram or email alerts, so you receive hazard notifications even when you're not in the kitchen.
Is this kit suitable for basement or underground kitchen safety?
Absolutely. The accelerometer detects vibration from pumps or heavy equipment that might aggravate a leak, and the gas sensors are mounted in a configuration tested in low-ventilation spaces. The AI model is tuned to reduce false alarms in fluctuating environments like basements.
Kitchen Safety — 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