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@@ -51,3 +51,14 @@ The task to be demonstrated here is an automated readout of an analog water mete
There are two types of CNN implemented, a classification network for reading the digital numbers and a single output network for digitalize the analog pointers for the sub digit readings.
This project is an evolution of the [water-meter-system-complete](https://github.com/jomjol/water-meter-system-complete), which uses ESP32-CAM just for taking the image and a 1GB-Docker image to run the neural network's backbone. Here everything is integrated in an ESP32-CAM module with 8MB of RAM and a SD card as data storage.
# 3th Party Tutorials
A lot of people created useful Youtube videos which might help you getting started.
Here a small selection:
- https://www.youtube.com/watch?v=HKBofb1cnNc
- https://www.youtube.com/watch?v=yyf0ORNLCk4
- https://www.youtube.com/watch?v=XxmTubGek6M
- https://www.youtube.com/watch?v=mDIJEyElkAU
- https://www.youtube.com/watch?v=SssiPkyKVVs
- https://www.youtube.com/watch?v=MAHE_QyHZFQ
- https://www.youtube.com/watch?v=Uap_6bwtILQ