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The Self-Sovereign Camera System (SSCS) is an open-source, distributed camera surveillance solution with integrated facial and human detection capabilities.

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47cd97a · Oct 25, 2023

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Self-Sovereign Camera System

License: MIT

The Self-Sovereign Camera System (SSCS) is an open-source, decentralized camera surveillance solution with integrated facial and human detection capabilities.

Table of Contents

Features

  1. Facial Detection: Capable of detecting faces in real-time.
  2. Human Detection: Real-time detection of human figures.
  3. Facial Database: You can save faces for later recognition and notifications.
  4. Multiple Video Feeds: If you have multiple cameras you can integrate multiple video feeds.
  5. Archiving and Playback: integrate either your local storage our cloud storage to have later access to files.
  6. Notifications: This software can notify you when some specific events happen on camera, in your phone.
  7. Self-Sovereign: Your data, your rules. No third-party control or access, unless you prefer it. In that case, it's up to the user to integrate the tools provided.
  8. Search and Filter: with the saved data, you can check for when specific events happened in the feed.

Installation

Prerequisites

  • GoLang (v1.19+ recommended)
  • OpenCV (v4.0+ recommended)
  • ffmpeg (version 4.4.2 recommended)

To quickly install openCV, just clone this repo and run make install-opencv. It will attempt to install all dependencies required and setup openCV properly.

Contribution

Fork the project. Create a new branch (git checkout -b feature/YourFeature). Commit your changes (git commit -am 'Add some feature'). Push to the branch (git push origin feature/YourFeature). Open a pull request. We welcome contributions! Please read our CONTRIBUTING.md for more information on how to contribute to SSCS.

License This project is licensed under the MIT License - see the LICENSE.md file for details.

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The Self-Sovereign Camera System (SSCS) is an open-source, distributed camera surveillance solution with integrated facial and human detection capabilities.

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