mirror of
https://github.com/blakeblackshear/frigate.git
synced 2025-10-04 11:15:55 +02:00
f305ff3a5a
* Update hardware recommendation * re-organize information * Broaden introduction * Update index.md * Update hardware.md * Update hardware.md * Update hardware.md * Update index.md * Update index.md * Update hardware.md
30 lines
1.3 KiB
Markdown
30 lines
1.3 KiB
Markdown
---
|
|
id: index
|
|
title: Introduction
|
|
slug: /
|
|
---
|
|
|
|
A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras.
|
|
|
|
Use of a [Recommended Detector](/frigate/hardware#detectors) is optional, but strongly recommended. CPU detection should only be used for testing purposes.
|
|
|
|
- Tight integration with Home Assistant via a [custom component](https://github.com/blakeblackshear/frigate-hass-integration)
|
|
- Designed to minimize resource use and maximize performance by only looking for objects when and where it is necessary
|
|
- Leverages multiprocessing heavily with an emphasis on realtime over processing every frame
|
|
- Uses a very low overhead motion detection to determine where to run object detection
|
|
- Object detection with TensorFlow runs in separate processes for maximum FPS
|
|
- Communicates over MQTT for easy integration into other systems
|
|
- Recording with retention based on detected objects
|
|
- Re-streaming via RTSP to reduce the number of connections to your camera
|
|
- A dynamic combined camera view of all tracked cameras.
|
|
|
|
## Screenshots
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|