Mirror/AI-on-the-edge-device-docs
1
0
Fork 0
mirror of https://github.com/jomjol/AI-on-the-edge-device-docs.git synced 2025-12-10 05:26:54 +03:00
Code Issues Packages Projects Releases Wiki Activity

add your logo to the sidebar

Browse Source
This commit is contained in:
CaCO3
2023-01-05 01:00:49 +01:00
parent 894846b12d
commit 71323c8e14
5 changed files with 764 additions and 15 deletions
Download Patch File Download Diff File Expand all files Collapse all files

14
docs/index.md
View File

@@ -28,7 +28,6 @@ Here this edge computing is brought into a practical oriented example, where a A
![](img/size.png){: style="width:200px"}
### Web interface
![](img/watermeter.jpg){: style="width:600px"}
@@ -49,16 +48,3 @@ The task to be demonstrated here is a automated readout of an analog water meter
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 a 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 networks backbone. Here everything is integrated in an ESP32-CAM module with 8MB of RAM and a SD-Card as data storage.
## Functionality
This systems implements several functions:
* Water/gas/electrity/... meter readout
* Picture provider
* File server
* OTA Update functionality
* Graphical configuration manager
* Web server
The details can be found here: [Integrated Functions](Integrated Functions)