Viseron
Deploy a self-hosted, local-only NVR and AI computer vision platform. Easily customize components and use hardware acceleration for optimal performance.
Manage your video surveillance with a self-hosted, local-only NVR and AI computer vision platform. Designed for privacy and performance, this solution keeps all video processing on your own network, removing the need for external cloud dependencies. Whether monitoring a home or a business, you can tailor the system to match your exact requirements.
Key advantages include:
- Simple Deployment: Launch quickly via a Docker container and manage your configuration directly through an integrated editor.
- High Customizability: Mix and match a diverse set of built-in components to build a customized surveillance architecture.
- Hardware Acceleration: Utilize your system resources efficiently with built-in support for CUDA, Google Coral EdgeTPU, and Jetson Nano.
Directory Structure
viseron
config
recordings
.env
docker-compose.yml
docker-compose.yml
services:
viseron:
image: roflcoopter/viseron:latest
container_name: viseron
restart: unless-stopped
shm_size: 2gb
ports:
- 8888:8888
volumes:
- ./config:/config
- ./recordings:/recordings
- /etc/localtime:/etc/localtime:ro
devices:
- /dev/dri:/dev/dri.env
# No sensitive environment variables are required for the default configuration.
# Most settings, including secrets, are defined within the config/config.yaml file.Categories:
Tags:
aicoralcudadarknetedgetpuface-recognitiongoogle-coralhacktoberfesthardware-accelerationhome-automationip-camerajavascriptlicense-plate-recognitionmachine-learningmotion-detectionnetwork-video-capturenetwork-video-recordernvrobject-detectionpythonrtspsecurityself-hostedself-hostingselfhostedsmarthomesurveillancetensorflowtypescriptvideovideo-recordingviseronyolo
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