Viseron: Set Up Your Own Free Local CCTV NVR Using Docker (Step-by-Step Tutorial)

Viseron is an open-source self-hosted CCTV and local-first NVR solution with AI-powered computer vision support.

It comes with amazing powerful features as Object detection, motion detection, face recognition, image classification, and supports hardware acceleration.

Key features

• Object Detection: YOLOv3/v4/v7 (OpenCV), Tensorflow (Google Coral EdgeTPU), CodeProject.AI
• Motion Detection & Face Recognition: CompreFace, CodeProject.AI, dlib
• Image Classification & License Plate Recognition: Tensorflow, CodeProject.AI
• Web UI: TypeScript React, mobile-friendly
• Home Automation: MQTT support & Home Assistant Discovery
• Hardware Acceleration: CUDA, OpenCL, RaspberryPi, Jetson Nano, Intel VA-API
• Recording Optimization: Lookback recording, zones, and masks
• Platform Support: RaspberryPi, Jetson Nano, amd64, aarch64, armhf Linux devices.
• Rich ecosystem with dozens of components
• Web frontend for easier control
• Configuration editor
• Built-in NVR (Network Video Recorder)
• Easy to configure
• Supports multiple camera types including IP-cameras

Install Viseron NVR using Docker

Viseron's development team made it easy for anyone to install Viseron using Docker, they are ready for almost all architecture including a custom image for Raspberry Pi.

In the following table you will find all official Viseron's NVR images with features each:

Viseron Image Options and Their Benefits

These tailored images ensure efficient performance on specific hardware, maximizing the use of hardware acceleration and making Viseron adaptable across diverse setups.

You can also use Docker-compose to run any of these images.

Running Viseron on Linux 64-bit

docker run --rm \
  -v {recordings path}:/recordings \
  -v {config path}:/config \
  -v /etc/localtime:/etc/localtime:ro \
  -p 8888:8888 \
  --name viseron \
  roflcoopter/viseron:latest

Install and running Viseron on Intel NUC or any machine with VAAPI support

docker run --rm \
  -v {recordings path}:/recordings \
  -v {config path}:/config \
  -v /etc/localtime:/etc/localtime:ro \
  -p 8888:8888 \
  --name viseron \
  --device /dev/dri \
  roflcoopter/viseron:latest

Running on Linux with NVIDIA GPU support

You have to make sure that NVDIA Docker is install on your system

docker run --rm \
  -v {recordings path}:/recordings \
  -v {config path}:/config \
  -v /etc/localtime:/etc/localtime:ro \
  -p 8888:8888 \
  --name viseron \
  --runtime=nvidia \
  roflcoopter/amd64-cuda-viseron:latest

On Raspberry Pi 4

docker run --rm \
  --privileged \
  -v {recordings path}:/recordings \
  -v {config path}:/config \
  -v /etc/localtime:/etc/localtime:ro \
  -v /dev/bus/usb:/dev/bus/usb \
  -v /opt/vc/lib:/opt/vc/lib \
  -p 8888:8888 \
  --name viseron \
  --device=/dev/video10:/dev/video10 \
  --device=/dev/video11:/dev/video11 \
  --device=/dev/video12:/dev/video12 \
  --device /dev/bus/usb:/dev/bus/usb \
  roflcoopter/viseron:latest

Viseron is quite RAM intensive, mostly because of the object detection.
I do not recommend using an RPi unless you have a Google Coral EdgeTPU.
The CPU is not fast enough and you might run out of memory.

On Raspberry Pi 3

docker run --rm \
  --privileged \
  -v {recordings path}:/recordings \
  -v {config path}:/config \
  -v /etc/localtime:/etc/localtime:ro \
  -v /opt/vc/lib:/opt/vc/lib \
  -p 8888:8888 \
  --name viseron \
  --device /dev/vchiq:/dev/vchiq \
  --device /dev/vcsm:/dev/vcsm \
  --device /dev/bus/usb:/dev/bus/usb \
  roflcoopter/viseron:latest

Beyond its amIn this tutorial we will go thru install Viseron NVR system on Ubuntu Linux using Docker and the on Raspberry Pi.

Resources & Downloads

• Home
• Viseron Component and Marketplace
• Github
• Docker Images

Homepage | Viseron

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

Viseron

Components | Viseron

List of components that are available in Viseron.

Viseron

GitHub - 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.

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…

GitHubroflcoopter

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