Event notifications for a standalone Frigate NVR instance

Video surveilance footage analyst powered by GPT

An automated, Docker-based installation script for deploying Frigate NVR on Proxmox VE using an LXC container.

Integrating an ESP32 Camera with ESPHome and Frigate for person detection

🐦 AI-powered bird identification for Frigate NVR. Classifies birds from your feeder camera using TensorFlow Lite and displays them in a real-time dashboard.

Flurga is a web interface for Frigate NVR

Uploads Frigate clips to Google Drive using MQTT

A Home Assistant custom component that enhances your Frigate NVR experience with Google's Gemini 2.0 AI model. This integration analyzes video clips from Frigate events and provides natural language descriptions of what's happening in the scene.

Docker service to periodically sync ONVIF cameras with a NTP server

My homelab config

Contains a service that allows you to run ultralytics yolo on your cpu(not recommended) or coral tpu the api has the same request and response as deepstack, this enables the usage with frigate.

This project is a state-aware, GPU-accelerated companion app for Frigate NVR that acts as a smart buffer between your cameras and Home Assistant. It transforms raw, multi-camera security footage into cinematic highlight reels and delivers tiered, narrative-driven notifications to eliminate alert fatigue.

A simple application written in Node to send Frigate events to Telegram

Cron job that moves Frigate NVR recordings from SSD to HDD, replacing them with symlinks

A Simple Dashboard for Frigate/RTSP

This repository provides detailed setup guides for building cost-effective DIY Network Video Recorders (NVRs) using open-source software like Frigate. We cover x86-64 and ARM64 architectures with tiered options (budget, mid-range, high-end). These guides assume basic familiarity with Linux and Docker.

A minimalistic Home Assistant Lovelace card that displays events from your Frigate NVR

Frigate NVR config для слабого ПК — распознавание лиц, детекция людей и автомобилей, чтение номеров (LPR) на CPU без Coral. Проверено на версии 0.17-0.

This tutorial will guide you through the configuration process for the Google Coral Edge TPU on a Raspberry Pi 5, including hardware settings and software installation.