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Real-Time Embedded Face Recognition on Raspberry Pi using OpenCV and TensorFlow Lite (TFLite)

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fisakhan/RaspberryFace

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RaspberryFace faspberryface1

Real-Time Embedded Face Recognition on Raspberry Pi using OpenCV and TensorFlow Lite (TFLite)

How to run?

download/clone this repository to a drive (for example RaspberryFace) on your Raspberry PI and run the following command.

ak@raspberrypi:~/RaspberryFace $ python3 raspberryface.py

Documentation

Compliance with AI Act

Does this model comply with the European AI Act?

Citation and Acknowledgement

If you use this library implementation for your research or projects, please consider using this cite:

@software{asif_khan_2024_11_14,
  author       = {Asif Khan},
  title        = {fisakhan/RaspberryFace: v1.0.0},
  month        = Nov,
  year         = 2024,
  publisher    = {},
  version      = {v1.0.0},
  doi          = {},
  url          = {}
}

In addition to citing InsightFace and PINTO_model_zoo

License

This project is licensed under the MIT License.

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Real-Time Embedded Face Recognition on Raspberry Pi using OpenCV and TensorFlow Lite (TFLite)

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