Frigate NVR

OtherFreemium

AI-powered, privacy-first NVR for smart, local object detection and automation

Last updated Oct 9, 2025

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What is Frigate NVR?

Frigate is an open-source, AI-powered network video recorder (NVR) that runs entirely on your own hardware to deliver real-time, privacy-first object detection for security cameras. Using computer vision models trained on real security footage—and optional Frigate+ enhancements—it identifies people, vehicles, packages, wildlife, and delivery logos; supports facial and license plate recognition; generates descriptive, intent-aware alerts with generative AI; and integrates deeply with Home Assistant, all optimized for efficient edge computing and smart streaming.

Frigate NVR's Top Features

Key capabilities that make Frigate NVR stand out.

Local, on-device AI object detection for privacy and low latency

Open-source NVR with optional paid enhancements via Frigate+

Edge computing architecture—no cloud required

Frigate+ models trained on real security footage for higher accuracy

User fine-tuning with your own annotated images (multiple times per year)

Package and delivery logo recognition

Facial recognition support

License plate recognition (ALPR) support

Generative AI for descriptive, intent-focused alerts

Zone-based object tracking and precise event triggers

Smart streaming that adapts bandwidth and switches to live on activity (jsmpeg, MSE, WebRTC)

Deep Home Assistant integration; MQTT, OpenHab, and Node-RED support

Video recording with configurable retention (default 10 days for tracked objects)

Hardware-accelerated video decoding (e.g., Intel iGPU) to reduce CPU usage

High throughput detection (100+ detections per second with supported accelerators)

Significant false-positive reduction compared to motion-only NVRs

Real-time sensors and low-latency camera entities for automations

Privacy-first design—camera feeds stay on your network

Use Cases

Who benefits most from this tool.

Homeowners

Get reliable porch and driveway alerts by detecting people, packages, and vehicles while avoiding false motion alarms.

Small business owners

Monitor parking lots and storefronts with accurate vehicle and person detection, plus optional license plate recognition.

Property managers

Use zones to trigger alerts when someone enters lobbies, stairwells, or restricted areas, and archive relevant clips.

Smart home enthusiasts

Create Home Assistant automations based on object type (person, car, pet) and precise zone events.

Rural homeowners

Detect wildlife activity without flooding notifications from wind, rain, or shadows.

Delivery-heavy households

Receive package and carrier-logo notifications and trigger automations like porch lights or chimes.

HOAs and gated communities

Combine license plate recognition with gate controls and logging for access management.

Privacy-conscious users

Keep all camera footage local with no cloud requirement while still benefiting from advanced AI.

Retail and restaurants

Identify after-hours intrusions and filter out routine motion to reduce alert fatigue.

IT and security teams

Deploy edge-accelerated detection (e.g., EdgeTPU) across many cameras with efficient hardware utilization.

Tags

open-sourceAI-poweredNVRreal-timeprivacy-firstobject detectionsecurity camerascomputer visionFrigate+peoplevehiclespackageswildlifedelivery logosfacial recognitionlicense plate recognitionHome Assistantedge computingsmart streaming

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