https://github.com/lesestrickshon/el-sol

AI-Driven Solar Pannle health detector
https://github.com/lesestrickshon/el-sol

ai image-recognition monitoring solar-panel solar-panels tensorflow

Last synced: about 2 months ago
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AI-Driven Solar Pannle health detector

• Host: GitHub
• URL: https://github.com/lesestrickshon/el-sol
• Owner: LesesTrickshon
• Created: 2025-01-21T13:31:48.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-03-17T08:44:41.000Z (over 1 year ago)
• Last Synced: 2025-03-27T06:16:15.012Z (over 1 year ago)
• Topics: ai, image-recognition, monitoring, solar-panel, solar-panels, tensorflow
• Language: Jupyter Notebook
• Homepage:
• Size: 3.89 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          


  
El Sol

  
AI-driven Solar-Pannle health detector



- [Version auf Deustch 🇩🇪 🇦🇹](LIESSMICH.md)



  



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## Table of Contents

- [Information](#Information)

- [Installation](#Installation)

- [Usage](#Usage)

- [Contributing](#Contributing)

- [License](#License)

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## Information

El Sol is a Python 3.10 script made to detect if a Solar Pannle is broken just by using thermal image data. The Project is by [Leaf Tide🍃](https://github.com/LesesTrickshon) and [Lennard6](https://github.com/lennard6).

### How it works

El Sol uses the these Liberarys:

- Tensorflow

- Keras from Tensorflow

- Numpy

- cv2

- os

- Matplot

- PyGame (I will have to see later.)

#### *How does it find out which pannle is broken which one isn't?*

The AI is a forked version of an MNIST-AI which is a AI that can determine which number the user drew. This AI is using a way **higher** resolution for the images and 3 color channles instead of the 28x28 and the singular black and white channle used by MNIST.