SMsmj-edison·Aug 8, 2025Submission
AI on the Edge Device: Digitizing Your Non-Digital Meters with an ESP32-Cam
1 points · Open discussionjomjol
AI-on-the-edge-device
C++2021–2025
jomjol / AI-on-the-edge-device
AI-on-the-edge-device
Easy to use device for connecting "old" measuring units (water, power, gas, ...) to the digital world
7Distinct people
8Mentions
0Explicit recommenders
9KGitHub stars
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What it is
Easy to use device for connecting "old" measuring units (water, power, gas, ...) to the digital world
GitHub
Where it is used
No documented product use has been verified yet.
What people are saying
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This week on Hacker News
Nov 7–Nov 14 UTC · Direct repository links and separately labeled related project stories. Indexed through 11/14/2026, 5:04:57 PM UTC.
No direct repository links were found in the indexed HN discussions over the past seven days. Older discussions are available below.
Mentions over time
HN mentions by year8 dated mentions
Observed mentions: 2021-02-07 17:29:46 UTC to 2025-08-08 19:41:07 UTC.
Counts come from the repository’s dated source evidence. Index cutoff: 2026-11-02 08:16:59 UTC.
View mention counts and date ranges
| Period | Start (UTC) | End (exclusive, UTC) | Mentions | Submissions | Comments |
|---|---|---|---|---|---|
| 2021 | 2021-01-01 00:00:00 UTC | 2022-01-01 00:00:00 UTC | 1 | 1 | 0 |
| 2022 | 2022-01-01 00:00:00 UTC | 2023-01-01 00:00:00 UTC | 0 | 0 | 0 |
| 2023 | 2023-01-01 00:00:00 UTC | 2024-01-01 00:00:00 UTC | 1 | 0 | 1 |
| 2024 | 2024-01-01 00:00:00 UTC | 2025-01-01 00:00:00 UTC | 3 | 0 | 3 |
| 2025 | 2025-01-01 00:00:00 UTC | 2026-01-01 00:00:00 UTC | 3 | 2 | 1 |
What Hacker News says
8 sourcesThis[1] is something I've come across but not had a chance to play with, designed for reading non-smart meters that might work for you. I'm not sure if there's any way to run it on an old phone though.
[1] https://github.com/jomjol/AI-on-the-edge-device
In Mistral OCRAI-on-the-Edge: Transforming Analog Meters into Smart Devices with ESP32
1 points · Open discussionA comparable board is the ESP32-CAM, which is supported by this really practical computer vision project: https://github.com/jomjol/AI-on-the-edge-device?tab=readme-o...
In SIMD-accelerated computer vision on a $2 microcontrollerThere is also the "AI on the Edge Device" project [1] which can read both analog gauges and digital displays and runs on an ESP32. One read-out takes more than a minute but inference runs on the ESP32 with TensorFlow Lite.
[1]: https://github.com/jomjol/AI-on-the-edge-device
In Show HN: Simply Reading Analog Gauges – GPT4, CogVLM Can'tThis is what I am using for this exact purpose: https://github.com/jomjol/AI-on-the-edge-device
In What's that touchscreen in my room?Also there is https://github.com/jomjol/AI-on-the-edge-device which digitalizes analoge water, gas, power and other meters. It uses the ESP32 camera module and local inference for character recognition. I found this very useful during the gas price hikes to identify effective saving measures. The inference speed is anything but realtime but for this use case fast enough. I took measurements every 5 minutes, the project states: Values smaller than 2 minutes do not make sense, as this is the time for one detection.
In AI model on a $3 chip (ESP32)An analogue water meter reader using ESP32 and TensorFlow Lite
21 points · Open discussion