NVR with AI Detection
NVR with AI Detection is a app in the osFoundry community catalog. Network video recorder with local AI object detection — record from RTSP/RTMP IP cameras, run object detection (person/vehicle/pet), generate motion-triggered clips, publish events via MQTT to Home Assistant. Powered by Frigate. Ships as a thin wrapper around the upstream image with a persistent volume for recordings + config.
Details
- Workspace: osfoundry
- Category: COMMUNICATION
- Pricing: Free
- Access: Community
Features
- Network video recorder with local AI object detection — record from RTSP/RTMP IP cameras
- Run object detection (person/vehicle/pet)
- Generate motion-triggered clips
- Publish events via MQTT to Home Assistant
Documentation
# NVR with AI Detection
Network video recorder + local AI object detection, powered by Frigate.
## Features
- Record from any RTSP / RTMP / ONVIF camera
- Object detection: person / car / dog / cat / bird / package / face
- Motion-triggered + continuous recording
- Event clips with thumbnails
- MQTT events for Home Assistant integration
- Mobile + web review UI
## ⚠️ Hardware acceleration matters
Frigate's object detection model is intended to run on:
- **Coral USB / PCIe TPU** (best efficiency)
- **NVIDIA GPU with TensorRT** (best raw throughput)
- **Intel iGPU with OpenVINO**
- **CPU fallback** (works but limits FPS — single 720p stream max on a small vCPU)
This cloud container ships with **CPU-only detection** as the default — fine for testing or a single camera at low resolution. For real multi-camera deployments, run Frigate on local hardware with a detector and forward its UI through the osFoundry desktop client.
## Packaging
Thin wrapper around the official `ghcr.io/blakeblackshear/frigate` image. Config at `/config/config.yml`; recordings + clips on `/media/frigate` (200 GB default).
How to use NVR with AI Detection in osFoundry
Install NVR with AI Detection into your workspace in one click, then fork it in osStudio to customise the prompts, tools, or configuration for your stack. Anyone in your workspace can pick up where you left off.
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