jomjol/AI-on-the-edge-device
Easy to use device for connecting "old" measuring units (water, power, gas, ...) to the digital world observed · 2026-08-28
Health v2 · maintenance only
72/100
- Activity 90
- Release rhythm 33
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 302
- age_days: 2227
- days_rel: 234
- days_push: 61
- n_releases_24m: 2
Adoption not part of the score
8624 stars · 899 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
A firmware application for ESP32-CAM boards that uses TensorFlow Lite CNNs on-device to digitize analog utility meters (water, gas, electricity). It captures camera images, aligns and extracts ROIs, recognizes digits, and exposes results via MQTT, REST API, InfluxDB, and Home Assistant.
Use cases
- read analog water meter readings automatically
- digitize old electricity meter with ESP32 camera
- send gas meter values to Home Assistant
- on-device OCR of utility meter digits
- monitor water consumption with MQTT
- convert non-smart meters to smart meters
When to choose
- you have an analog meter and want cheap, fully local digitization without cloud
- you want Home Assistant/MQTT/InfluxDB integration out of the box
- you prefer edge inference on a sub-10-EUR device
When to avoid
- your meter is already digital/smart with a data interface
- you need high-accuracy recognition on meters with unusual dials not covered by trained models
- you cannot physically mount a camera near the meter
Facets
application · maturity active
machine-learning computer-vision image-processing iot http-server monitoring iot computer-vision machine-learning self-hosted embedded iot self-hosted esp32-cam meter-reading tensorflow-lite edge-ai home-assistant mqtt analog-meters water-meter power-meter gas-meter
2 sources
- readme: https://github.com/jomjol/AI-on-the-edge-device · fetched 2026-08-28 · 5c66fa015dbf
- homepage: https://jomjol.github.io/AI-on-the-edge-device-docs/ · fetched 2026-08-29 · d5cc63b8574d
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| jomjol/AI-on-the-edge-device | main | 72 |
For agents
markdown · JSON · MCP: product_card(name="jomjol/AI-on-the-edge-device")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem