Tutorial: Train a Raspberry Pi to Read Gas Meter Automatically with Neural Network
JeremyCMorgan · x · 2026-08-28
A developer built an automated system to read his hard-to-access gas meter using a Raspberry Pi camera and a custom neural network.
Implementation Details:
- Hardware: Uses a Raspberry Pi 4, Camera Module 3, and a consistent light source mounted near the meter.
- Data Pipeline: A cron job takes photos every 10 minutes, rotating and cropping them to the region of interest.
- Training: The guide covers the exact commands for labeling thousands of photos, training the model, and running inference locally.
- Integration: The system connects with Home Assistant and automatically submits readings to the gas company, eliminating manual entry.
This is a practical example of edge AI deployment with full code available on GitHub.
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