The SpectophotometerAS7262 repository contains Python scripts and files for interfacing with the AS7262 Spectral Triad sensor and processing its data. This spectrophotometer setup allows you to acquire spectral information across different wavelengths, enabling various applications in spectroscopy, color analysis, and more.
- AS7262 Interface: The repository provides Python scripts to communicate with the AS7262 Spectral Triad sensor and retrieve raw spectral data.
- Data Processing: The included scripts allow for processing raw spectral data, such as calibrating sensor readings, applying corrections, and converting to physical units.
- Visualization: The repository offers tools to visualize the acquired spectral data through plots and graphs, aiding in analysis and interpretation.
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Ensure you have Python 3.x installed on your system.
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Clone this repository to your local machine using the following command:
git clone https://github.com/jorgeeldis/spectophotometerAS7262.git -
Navigate to the repository directory:
cd spectophotometerAS7262 -
Install the required dependencies:
pip install -r requirements.txt
For instructions on setting up the AS7262 Spectral Triad sensor with your hardware platform, please refer to the Hardware Setup Guide in the docs/ directory.
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Connect the AS7262 Spectral Triad sensor to your hardware platform following the hardware setup instructions.
The visualization script will generate plots and graphs to visualize the processed spectral data.
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Further analysis:
Implement your custom analysis or use the processed data for specific applications according to your research or project requirements.
Contributions to the SpectophotometerAS7262 repository are encouraged. If you discover issues, have feature suggestions, or want to enhance the existing code, please feel free to open an issue or submit a pull request. Refer to the CONTRIBUTING.md file for contribution guidelines.
This project is licensed under the MIT License. You are free to use, modify, and distribute the code as long as you retain the original license information.
Special thanks to Jorge Eldis for creating and maintaining this repository.
If you find this repository helpful for your work or research, consider giving it a star on GitHub!
For any inquiries or questions regarding the repository, please open an issue