IoT Human Detection

Machine Learning for human detection on encrypted video streams 🧠
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Developer 👨🏻‍💻 · Report Bug 🪳 · Request Feature ✨

About The Project 📺

The goal of this project is to analyze the traffic generated by a webcam call and, from such traffic, identify whether a person or only the background is recorded in the video. The problem is approached by a Machine Learning (ML) standpoint, acquiring data and creating a labelled dataset as a ground truth.

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Contributing ❤️

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

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

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

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License 📑

Distributed under the GPLv3 License. See LICENSE for more information.

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Contact 📬

Giovanni Baccichet - @Giovanni_Bacci - github[at]baccichet.org

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