https://github.com/roflcoopter/viseron

Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.
https://github.com/roflcoopter/viseron

coral cuda darknet edgetpu face-recognition google-coral hacktoberfest hardware-acceleration ip-camera license-plate-recognition motion-detection network-video-capture network-video-recorder nvr object-detection rtsp surveillance tensorflow viseron yolo

Last synced: about 5 hours ago
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Self-hosted, local only NVR and AI Computer Vision software. With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.

• Host: GitHub
• URL: https://github.com/roflcoopter/viseron
• Owner: roflcoopter
• License: mit
• Created: 2020-08-30T15:34:00.000Z (about 4 years ago)
• Default Branch: dev
• Last Pushed: 2024-11-08T13:15:23.000Z (5 days ago)
• Last Synced: 2024-11-08T14:24:26.355Z (5 days ago)
• Topics: coral, cuda, darknet, edgetpu, face-recognition, google-coral, hacktoberfest, hardware-acceleration, ip-camera, license-plate-recognition, motion-detection, network-video-capture, network-video-recorder, nvr, object-detection, rtsp, surveillance, tensorflow, viseron, yolo
• Language: Python
• Homepage:
• Size: 20.5 MB
• Stars: 1,736
• Watchers: 35
• Forks: 179
• Open Issues: 116
• Metadata Files:
  • Readme: README.md
  • Funding: .github/FUNDING.yml
  • License: LICENSE

Awesome Lists containing this project

• awesome-yolo-object-detection - roflcoopter/viseron - Self-hosted NVR with object detection. (Applications)

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Viseron

    


        Self-hosted, local only NVR and AI Computer Vision software.

    

    


        With features such as object detection, motion detection, face recognition and more, it gives you the power to keep an eye on your home, office or any other place you want to monitor.

    

    


    




# Getting started

Getting started is easy! You simply spin up a Docker container and edit the configuration file using the built in web interface.

Head over to the [documentation](https://viseron.netlify.app) and follow the instructions on how to get started.

# Components

Viserons functionality is enabled by [components](https://viseron.netlify.app/docs/documentation/configuration#components).

You can find all the available components by using the [Component Explorer](https://viseron.netlify.app/components-explorer/).

# Contributing

Contributors to the project are very much appreciated.

See the [contribution guidelines](https://viseron.netlify.app/docs/contributing) on how to get started.

Some things you can help with:

- Implement an open feature request or issue from the [issue tracker](https://github.com/roflcoopter/viseron/issues)

- Improve the documentation

- Answer questions in issues or [discussions](https://github.com/roflcoopter/viseron/discussions)

You can also use the links below to sponsor Viseron or make a one time donation.