From 183c87188b73588ce0966a4b9d68a492f6418e83 Mon Sep 17 00:00:00 2001 From: CaCO3 Date: Sat, 21 Oct 2023 00:17:14 +0200 Subject: [PATCH] Update index.md --- docs/index.md | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/docs/index.md b/docs/index.md index 785aa6d..cb9f91f 100644 --- a/docs/index.md +++ b/docs/index.md @@ -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