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frigate

A complete and local NVR designed for Home Assistant with AI object detection.

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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. You cas use a integrated or dedicated GPU (Intel/AMD/Nvidia) to perform the image decoding of the input streams of your cameras. Optionally (but highly recommended), you can use multiple devices to perform the object detetion, such as a Google Coral Accelerator, Nvidia GPU, OpenVINO (Intel GPU)... See the documentation for more details about your specific hardware and needs (https://docs.frigate.video/). This is a general templeate that aims to give a fast deoplyment for every user so check all the options carefully and remove all the configurations that you are not going to use.

Platform availability

Available on 6 of 6 install platforms

Also on Docker Hub and GitHub

Health score

83/100 Excellent

Maintained
100last commit 7 days ago
Popular
9136,164 GitHub stars
Easy to install
856 install platforms, install notes, Docker image
Light to run
208 GB minimum RAM, runs on ARM
How is this calculated?

A 0-100 score computed nightly from four factors: maintained (40%: recent commits and steady activity), popular (25%: GitHub stars, log scale), easy to install (20%: platforms, install notes, setup guides, Docker image) and light to run (15%: minimum RAM, ARM support). Factors without data are left out and the rest are rescaled.

Availability: platform listings confirmed today, links checked 6 days ago

GitHub stars
36,164
Open issues
112
Last commit
2026-09-28
Latest release
v0.18.0
License
MIT
Activity
rising

Checked 7 days ago - source: GitHub (blakeblackshear/frigate)

Resources & Compatibility

Minimum requirements: 8 GB RAM. ARM (e.g. Raspberry Pi) is supported.

Checked 7 days ago - source: Docker Hub image tags and published docs

First-install notes

  • Choose the right detector hardware If you add a detector, set the device to your actual hardware, such as GPU, NPU, or Hailo PCIe, so object detection can run; pointing it at missing hardware can prevent Frigate from starting or make detection very slow. source
  • Set custom model path and size correctly If you add a custom object detector (the AI model that identifies objects), put the model file where path points, often /config, and set width/height to the exact size used when the model was exported. If these don't match, detection can fail or produce broken results. source

Fetched 7 days ago - each note links to its source

Alternatives (12)

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  • Proxy Mask
  • Shinobi - Shinobi Pro - The Next Generation in Open-Source Video Management Software with support for over 6000 IP and USB Cameras
  • Synology Surveillance Station - Synology Surveillance Station is an NVR (network video recorder) system to safeguard security through IP camera monitoring.

Checked 4 days ago - source: AlternativeTo

Common questions

How can I integrate Frigate with Home Assistant and other systems?

Use the Frigate custom component for Home Assistant. Frigate communicates over MQTT, so it can also be integrated with other MQTT-capable systems.

What should I check if a custom object detector does not work?

Make sure the model file is at the path specified, often /config, and that the width and height match the exact size used when the model was exported. Mismatches can cause detection to fail or produce broken results.

Are the Frigate name and logo covered by the MIT license?

No. The code, configuration files, and documentation are MIT licensed, but the Frigate name, brand, and logo are trademarks of Frigate, Inc. and are not covered by the MIT license.

Does Frigate support 24/7 recording?

Yes, Frigate supports 24/7 recording. It records video using retention settings based on detected objects.

Answers sourced from docs.frigate.video, github.com

Community

Collected 7 days ago - public community threads