Solarian PV Module EL Image Deduplication Tool

Solarian PV Module EL Image Deduplication Tools has been written using Python to address the duplicate image issues at the PV module manufacturers where modules with different serial numbers have the same EL image. This issue has been arised during our regular factory controls and we've developed a tool to address it.

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Table of Contents

• About the Project
  • Built With
• Getting Started
  • Prerequisites
  • Installation
• Usage
• Roadmap
• Contributing
• License
• Similar Projects
• Contact

About The Project

At Solarian, we are a team of engineers dedicated to offers services of engineering at an exceptional quality. We push our hardest in terms of engineering and analysis.

In order to increase the PV module production quality; we do inspection of photovoltaic modules at the factories. One thing we also check at the factories is duplicate EL images. Some production facilities tend to use bad software that creates/uses same EL image for different serial numbers. In order to spot those issues we've developed the following code. This software simply checks for similar images using pre-trained MobileNet CNN.

Please feel free to fork or send pull requests. Please keep the code as minimal as possible.

Built With

This project has been coded with Python 3 using Tensorflow, imagededup and nmslib.

• Python
• tensorflow
• imagededup
• nmslib

Getting Started

Follow the steps below to prepare the environment for the project.

Prerequisites

First you need to get Python 3 installed and running with dependencies correctly installed.

• bash

sudo apt update
sudo apt-get -y dist-upgrade
sudo apt-get -y install git python3-distutils python3-dev build-essential
sudo curl https://bootstrap.pypa.io/get-pip.py -o get-pip.py
sudo python3 get-pip.py
sudo pip3 install tensorflow imagededup pillow keras

Installation

1. Clone the repo (Change the directory if you want)

git clone https://github.com/orcunbaslak/pvmodule-el-deduplicator /home/pi/pvmodule-el-deduplicator

2. Edit the python file deduplicate.py and provide the path to the folder which holds the EL images.

nano deduplicate.py

Usage

You can feed the file to Python3 interpreter and it's all good to go given you've entered the correct folder path. Please do check the comments in the python file.

python3 deduplicate.py

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

1. Fork the Project
2. Create your Feature Branch (git checkout -b feature/NewContrib)
3. Commit your Changes (git commit -m 'Add a new contribution')
4. Push to the Branch (git push origin feature/NewContrib)
5. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Orçun Başlak - @orcunbaslak - website - [email protected]

Solarian Enerji - @solarianenerji - website - [email protected]

Project Link: https://github.com/orcunbaslak/pvmodule-el-deduplicator