Frigate NVR is an open-source network video recorder that uses AI-powered object detection to monitor security cameras efficiently. It leverages tools like TensorFlow or Coral AI to detect people, vehicles, and other objects in real time, reducing false alerts and saving only relevant footage.
Fully compatible with Home Assistant, Frigate enables advanced automations and local video processing without relying on cloud services.
In my home setup, I use Frigate not only as an advanced NVR but also as a tool to re-stream RTSP camera feeds with custom resolutions, codecs, and bitrates. This allows me to optimize video streams specifically for my URC control system and Home Assistant dashboards, ensuring compatibility and smooth performance across devices. By transcoding or remuxing the streams, I can deliver lightweight, efficient feeds that load faster and perform better on tablets, remotes, and automation interfaces.
Frigate also enhances the security and intelligence of my surveillance system. With AI-based motion detection, it significantly reduces false alerts compared to traditional NVR software by focusing only on relevant objects like people or vehicles.
This free NVR software also supports secure remote viewing without relying on vendor-specific apps or cloud services, giving me full control over how and where my camera feeds are accessed. This makes it an ideal solution for both automation and privacy-focused surveillance.