Frigate
Open source NVR that runs real-time AI object detection on your own hardware, so camera feeds never leave the house.
If you already run Home Assistant and own a Google Coral or a capable GPU, Frigate is the NVR to beat: zone-precise detection, no cloud analysis bill, and automation hooks that closed systems do not expose. The open source core carries no licence cost, and Frigate+ is an optional subscription for custom models. The catch is squarely on you — Docker, a config file, and an accelerator that actually supports the workload. Choose Frigate over a cloud subscription NVR when you care more about your footage staying home than about a phone-number support line.
Verified 4d ago · liveness 76/100 · cite: rightaichoice.com/tools/frigate
- Home Assistant users who want camera object detection feeding real automations, not just an app feed
- Privacy-first households that refuse to send camera footage to a cloud service for analysis
- Self-hosters with a Google Coral or capable GPU who want high detection throughput on modest hardware
- People who need zone-precise alerts — porch, driveway, side gate — instead of whole-frame motion pings
- Buyers who want a plug-and-play camera kit with an app and zero server maintenance
- Homes with no compatible AI accelerator and no appetite to buy one
- Anyone unwilling to run Docker and edit configuration files
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Skip Frigate if you want a security camera system that arrives as a box with an app, requires no server, and never asks you to edit a configuration file — Frigate expects Docker, Linux knowledge, and a supported AI accelerator to hit its detection throughput.
Running the free NVR assumes you already own or buy a supported AI accelerator such as a Google Coral — that hardware is the real entry cost.
The NVR itself is open source and free to run, which makes it cheaper than any cloud subscription NVR for a household that already owns an AI accelerator and spare storage. Frigate+ is the paid layer for custom models. If you do not already own an accelerator-capable machine, the hardware outlay can exceed a year of a cloud camera plan, so the maths depends on what is already in your rack.
In short
Frigate — Open source NVR that runs real-time AI object detection on your own hardware, so camera feeds never leave the house. Best for Home Assistant users who want camera object detection feeding real automations, not just an app feed, Privacy-first households that refuse to send camera footage to a cloud service for analysis, Self-hosters with a Google Coral or capable GPU who want high detection throughput on modest hardware. Free to use.
What people actually say about Frigate — is it worth it?
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
71 mentions across 5 sources (Hacker News, YouTube, App Store, Stack Overflow, Lemmy) · researched Aug 27, 2026.
Average across the 5 sources that answered — each source counts once, not each post.
- +All local processing keeps camera feeds private and offline.
- +AI object detection cuts false alerts from motion detection dramatically.
- +Customizable zones let you trigger alerts on specific areas like doors.
- +Deep Home Assistant integration enables smart automations and triggers.
- +Works with many AI accelerators: Coral, Intel Arc, Hailo 8.
- −Setup and tuning is complex, especially for camera and stream settings.
- −Frustrating stability issues reported with certain camera firmware.
- −Requires additional hardware for best performance, adding cost.
- −Not for users who want a simple, plug-and-play NVR.
- −Some users find it resource-heavy even when not using detection.
- • Required hardware (AI accelerator like Coral or Hailo) can cost $50–$150.
- • Monthly subscription for best-in-class detection models is an extra cost.
- • You must supply your own storage (NAS, SD card, etc.) for recordings.
Viability Score
How well maintained and how widely used is Frigate? Built from what the vendor actually publishes (docs, changelog, tutorials, integrations, pricing), whether the site is live, and how much real users discuss it. How we calculate this
Last calculated: October 2026
How we score →Key Features
- Real-time local AI object detection with no cloud dependency
- 100+ object detections per second with a supported AI accelerator
- Zone-based events and alerts for porches, driveways, and side gates
- Home Assistant media browser integration
- Low-latency camera entities for live viewing
- Real-time sensors and switches to trigger Home Assistant automations
- MQTT support for Home Assistant, OpenHab, NodeRed and similar platforms
- Event-based recording and snapshot management
- Web UI for configuration, event review, and camera status
- REST API for programmatic automation
- Real-time object tracking across multiple camera streams
- Custom object detection models via Frigate+ subscription
- Community camera compatibility database for picking IP cameras
- Reduced false positives versus motion-only NVRs
- All processing performed on your own hardware — feeds never leave the home
About Frigate
Frigate is an open source network video recorder built around real-time AI object detection, and it runs the detection locally on hardware you own rather than shipping frames to a cloud service. You point it at your IP cameras and a supported AI accelerator does the analysis; the project's own documentation claims 100+ object detections per second with a supported accelerator, which is the throughput that matters when you need to catch the frame where someone steps onto the porch. Traditional NVRs lean on motion detection, and the false positives from shadows and wind are what people spend evenings tuning away. Frigate tracks objects in real time instead and lets you draw zones — porch, driveway, side gate — then write alert rules against those locations rather than the whole frame. Events, snapshots, and recording history live on your own storage, so a driveway event is a file on your NAS, not a clip in someone else's bucket. The other half is automation. Frigate integrates directly into Home Assistant's media browser, provides low-latency camera entities, and exposes real-time sensors and switches you can hang automations and notifications on. OpenHab, NodeRed, and anything speaking MQTT work too, so you are not locked into one ecosystem. Frigate+ is the paid layer: custom object detection models designed specifically for Frigate to sharpen accuracy on your kind of scenes. This is not a plug-and-play camera kit. Expect Docker, a config file, and hardware selection to think about — the community has even built a camera compatibility database and, as of August 2026, a data viewer specifically for choosing Frigate-compatible IP cameras.
Behind the Verdict
Frigate's real advantage is architectural, not cosmetic. Detection happens on your hardware, which means the privacy claim is not a policy you have to trust — it is a fact about where the packets go. The homepage is blunt about it: all processing is performed locally and your camera feeds never leave your home. For a household that objects to paying a subscription so a stranger's data centre can analyse footage of the driveway, that is the whole argument in one sentence. The second advantage is zones. Motion detection tells you something changed in the frame. Frigate tracks objects and can determine the moment a person starts walking up the front steps or a car enters the driveway, so notifications can be scoped to a location rather than the entire image. Anyone who has muted a camera because it alerted on every passing shadow will recognise how much work that saves. The third is integration depth. Home Assistant's media browser, low-latency camera entities, and real-time sensors and switches mean camera events become automation inputs, not just an app feed. MQTT support extends the same story to OpenHab, NodeRed, and anything else that speaks the protocol. Where it gets expensive in a different currency is setup. The performance claim of 100+ detections per second is explicitly conditional on a supported AI accelerator; without one, detection throughput drops and you will be tuning instead of building. You need Docker and Linux comfort, network camera configuration, and a camera whose stream you can verify works before you commit. If your idea of a security system is a box with an app and a support contract, this is the wrong product and no amount of community goodwill changes that. Frigate+ is the honest monetisation path. The core software is free and open source; the paid tier sells custom models designed specifically for Frigate plus model submissions tied to your own setup. That is a sane split — you can run the free NVR indefinitely, and you pay when you want detection tuned to your scenes. The August 2026 community camera viewer addresses the one gap the software itself cannot close: knowing which IP cameras to buy before you buy them.
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Real-world workflow fit
Concrete scenarios for the personas Frigate actually fits — and what changes day-one when you adopt it.
You install Frigate in Docker, add your doorbell and driveway cameras to the config, attach the Coral accelerator, and draw a zone over the front steps.
Outcome: Person detections arrive as sensors in Home Assistant within the day, and your porch light automation fires on the front-steps zone instead of the whole frame.
You point Frigate at existing IP cameras, enable event-based recording, and set alerts scoped to the driveway and side gate rather than full-frame motion.
Outcome: Footage stays on your own storage, false alerts from passing shadows stop driving phone notifications, and there is no monthly cloud analysis bill.
You run Frigate alongside OpenHab or NodeRed, subscribe to its MQTT topics, and route object detections into non-Home-Assistant automations.
Outcome: Camera events become inputs anywhere on your stack, with snapshots and recordings reviewable in Frigate's web UI.
Use Cases
- Notify when a person approaches your front door, ignoring wind-blown branches.
- Alert only when a car enters your driveway, not when shadows move.
- Trigger lights based on animal detections in the backyard.
- Feed real-time camera events into Home Assistant automations and notifications.
- Record continuous or event-based footage without uploading to a cloud service.
- Reduce storage usage by recording only when objects of interest appear.
- Review past detections in the web UI to scrub hours of uneventful footage.
- Publish camera detections over MQTT to OpenHab or NodeRed.
Models Under the Hood
as of 2026-10-17
Limitations
- Performance depends on your hardware.
- Without a supported AI accelerator such as Google Coral, object detection throughput drops significantly, and the 100+ detections-per-second figure assumes one is present.
- Setup requires working knowledge of Docker, Linux, and network camera configuration — there is no installer that removes that step.
- Custom object detection models require a Frigate+ subscription, so scene-tuned accuracy sits behind the paid tier.
- Camera compatibility is your responsibility to verify before buying hardware; the community camera database and the new compatibility viewer help, but they are not vendor guarantees.
as of 2026-10-04
Verification history
We have re-verified Frigate 10 times since . Each pass re-reads the vendor's own pages and re-checks every listed field against that evidence; passes where nothing had changed are marked as such.
- — re-checked, vendor evidence unchanged
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-verified summary, description, our verdict, our analysis, pricing model, pricing tiers, features, integrations, who it suits, who should skip it
- — re-checked, vendor evidence unchanged
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Showing the 6 most recent of 10 verification passes.
Free to cite with attribution — this page re-verifies continuously.
12-month cost
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
Where the pricing makes sense
The company stage and team size where Frigate's pricing actually pencils out — and where peers do it cheaper.
The NVR itself is open source and free to run, which makes it cheaper than any cloud subscription NVR for a household that already owns an AI accelerator and spare storage. Frigate+ is the paid layer for custom models. If you do not already own an accelerator-capable machine, the hardware outlay can exceed a year of a cloud camera plan, so the maths depends on what is already in your rack.
Setup time & first value
How long it actually takes to get something useful out of Frigate — broken out by persona, not the marketing-page minute.
Home Assistant users with a Coral or GPU and prior Docker experience: roughly an afternoon to install, configure cameras, and see first detections. For a first-time self-hoster with no accelerator, plan on a weekend that includes hardware research and camera compatibility checks — the community camera database and August 2026 compatibility viewer shorten that part. Anyone who has never touched
Switching to or from Frigate
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
- →From a cloud subscription NVR: read your existing camera streams into Frigate's config and run both systems in parallel until zones and alerts behave as expected.
- →From Home Assistant motion automations: move detection to Frigate zones and replace motion triggers with its person, car, or animal sensors.
- →From a motion-only local NVR: keep the same cameras, add a supported AI accelerator, and point Frigate at the streams to get object detection instead of motion pings.
- ↗To a cloud NVR subscription: export any footage you want to keep from local storage and re-add cameras to the vendor's onboarding flow.
- ↗To a plug-and-play camera kit: accept losing the MQTT and Home Assistant automation hooks, since closed kits expose far less to your own stack.
- ↗To a commercial on-prem VMS: map your Frigate zones and event rules onto the new system's rule engine and verify each camera stream import.
Integrations
Resources & Guides
Tutorials & Learning
YouTube returned 6 videos for “Frigate”, and we withheld 6: 6 could not be judged, because “Frigate” is a single word that other videos use for other things. We are showing none, because we could not prove any of them are about Frigate.
Official links
Tools that pair well with Frigate
Common stack mates teams adopt alongside Frigate, with the specific reason each pairing earns its keep.
Featured Head-to-Head Comparisons
Frigate vs Sublime Security
Frigate and Sublime Security serve entirely different domains: one for local camera surveillance with AI object detection, the other for email threat detection. Choose Frigate if you need an open-source, privacy-first NVR for home automation. Choose Sublime if you're an enterprise security team seeking advanced email protection against BEC and phishing. They are not direct competitors.
Frigate vs Audioeye
Frigate and AudioEye serve completely different use cases: Frigate is an open-source NVR for local AI surveillance, while AudioEye is a paid web accessibility compliance platform. There is no direct competition. Choose Frigate if you want privacy-focused, real-time object detection for IP cameras; choose AudioEye if you need automated WCAG/ADA compliance with legal support.
Frigate vs Push Security
Push Security and Frigate serve entirely different domains: Push is an enterprise browser security platform for fighting AiTM phishing, securing AI tool usage, and hardening identities, while Frigate is a self-hosted NVR for home camera surveillance with local AI object detection. Your choice depends purely on whether you need to protect corporate browsers or watch your driveway — there is no functional overlap. Buy Push if your organization faces browser-borne attacks and AI data leakage; buy Frigate if you want a privacy-first, open-source camera system with no cloud dependency.
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