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. observed · 2026-08-28
Health v2 · maintenance only
98/100
- Activity 99
- Release rhythm 97
- Longevity 100
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 23.5
- age_days: 2194
- days_rel: 23
- days_push: 7
- n_releases_24m: 17
Adoption not part of the score
3431 stars · 422 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded
Viseron is a self-hosted, local-only network video recorder (NVR) with built-in AI computer vision capabilities. It supports object detection, motion detection, face recognition, and license plate recognition on RTSP IP camera streams, with hardware acceleration via CUDA, Google Coral, and other backends.
Use cases
- monitor my home security cameras with AI object detection
- self-hosted NVR for IP cameras without cloud
- detect people and cars on RTSP camera streams
- face recognition on my surveillance cameras
- license plate recognition for my driveway camera
- motion-triggered camera recording with local AI
- run object detection on cameras using a Google Coral accelerator
When to choose
- you want a privacy-focused, fully local NVR with no cloud dependency
- you have RTSP-capable IP cameras and want AI-based detection and recording
- you have compatible hardware (CUDA GPU, Google Coral) for accelerated inference
- you want a Docker-deployable surveillance system with a built-in web interface
When to avoid
- you need a plug-and-play consumer NVR with vendor support
- you want cloud storage or remote cloud-based AI analysis
- you don't have hardware for AI inference and only need basic recording
- you need support for non-RTSP proprietary camera protocols
Facets
application · maturity active
computer-vision object-storage self-hosted video-processing image-processing monitoring computer-vision self-hosted security privacy media self-hosted python nvr surveillance ip-camera rtsp object-detection motion-detection face-recognition license-plate-recognition yolo tensorflow google-coral edgetpu cuda hardware-acceleration home-security docker linux web-server gpu
1 source
- readme: https://github.com/roflcoopter/viseron · fetched 2026-08-28 · 2ad0ba281bf6
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| roflcoopter/viseron | main | 98 |
For agents
markdown · JSON · MCP: product_card(name="roflcoopter/viseron")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem