Note: this branch of io.js is not actively maintained and is not recommended for production use. NOTE: If you are using Ubuntu Precise or Debian Wheezy, you might want to read about running Node.js >= 4.x on older distros. Please reference running Node.js >= 4.x on older distros # Using Ubuntu NOTE: Debian Wheezy and Ubuntu Precise packages are NOT available for this release.

NOTE: If you are using Ubuntu Precise or Debian Wheezy, you might want to read about running Node.js >= 6.x on older distros | sudo bash - then you can follow the manual instructions, which tells you how to add the Node.js repository to /etc/apt// yourself. Instructions are the same for updating to the latest version.

A dynamic combined camera view of all tracked cameras.Complete installation instructions have since been uploaded here by Nodesource.

Re-streaming via RTMP to reduce the number of connections to your camera.

Recording with retention based on detected objects.

Communicates over MQTT for easy integration into other systems.

Object detection with TensorFlow runs in separate processes for maximum FPS.

Uses a very low overhead motion detection to determine where to run object detection.

Leverages multiprocessing heavily with an emphasis on realtime over processing every frame.

Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary.

Tight integration with Home Assistant via a custom component.The Coral will outperform even the best CPUs and can process 100+ FPS with very little overhead. CPU detection should only be used for testing purposes. Use of a Google Coral Accelerator is optional, but strongly recommended.

Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. A complete and local NVR designed for Home Assistant with AI object detection.

Github nvm