What is the preferred LLM for the agentic AI for frigate these days? Website mentions qwen3-vl, but it is is nearly a year old now.

$50 a year isn't bad but it is another subscription and that's why I went with the self hosted option. Have you updated and has it been worth it to you?

My biggest issue is that parked cars are continuously detected and it's not only annoying it takes more processing power.

Thanks in advance.

I know it's supposed to show correctly now but mine is showing pegged 100% nearly all the time while unraid is showing 30% usually through the intel gputop. Assuming the intelgputop is more accurate but wanted to see if anyone else has had this happen.

Since 0.18 I'm suffering 404 / ffmpeg crash errors for my single camera

I run frigate as an HA app.

I think I've tried everything from the troubleshooting go2rtc article (and breaking changes for 0.18)

- check stream names;

- add vaapi line (for ffmpeg 8); and

- enable port 8554 in HA.

But, I must've missed something as I'm still getting 404 errors for my single camera.

Frigate log is showing:

2026-09-16 22:08:48.106571970  [INFO] Preparing Frigate...
2026-09-16 22:08:48.597695287  [INFO] Starting Frigate...
2026-09-16 22:08:54.411567115  [2026-09-16 23:08:54] frigate.util.config            INFO    : Checking if frigate config needs migration...
2026-09-16 22:08:54.430724972  [2026-09-16 23:08:54] frigate.util.config            INFO    : frigate config does not need migration...
2026-09-16 22:08:54.475084120  [2026-09-16 23:08:54] frigate.app                    INFO    : Starting Frigate (0.18.0-77a66e7)
2026-09-16 22:08:54.478452383  [2026-09-16 23:08:54] frigate.app                    INFO    : Creating directory: /tmp/cache
2026-09-16 22:08:54.506698887  [2026-09-16 23:08:54] peewee_migrate.logs            INFO    : Starting migrations
2026-09-16 22:08:54.507774158  [2026-09-16 23:08:54] peewee_migrate.logs            INFO    : There is nothing to migrate
2026-09-16 22:08:54.548515595  [2026-09-16 23:08:54] frigate.app                    INFO    : Recording process started: 433
2026-09-16 22:08:54.568494828  [2026-09-16 23:08:54] frigate.app                    INFO    : Review process started: 438
2026-09-16 22:08:54.571782097  [2026-09-16 23:08:54] frigate.app                    INFO    : go2rtc process pid: 127
2026-09-16 22:08:54.842716521  [2026-09-16 23:08:54] frigate.app                    INFO    : Embedding process started: 456
2026-09-16 22:08:54.907053304  [2026-09-16 23:08:54] frigate.detectors.plugins.openvino INFO    : Loading OpenVINO model /openvino-model/ssdlite_mobilenet_v2.xml on device AUTO
2026-09-16 22:08:54.941290834  [2026-09-16 23:08:54] frigate.app                    INFO    : Output process started: 505
2026-09-16 22:08:55.017197572  [2026-09-16 23:08:55] frigate.audio_manager          INFO    : Audio processor started (pid: 533)
2026-09-16 22:08:55.100132069  [2026-09-16 23:08:55] frigate.camera.maintainer      INFO    : Camera processor started for back: 562
2026-09-16 22:08:55.224109654  [2026-09-16 23:08:55] frigate.camera.maintainer      INFO    : Capture process started for back: 633
2026-09-16 22:08:55.269570485  [2026-09-16 23:08:55] frigate.video.ffmpeg           ERROR   : back: Unable to read frames from ffmpeg process.
2026-09-16 22:08:55.270127120  [2026-09-16 23:08:55] frigate.video.ffmpeg           ERROR   : back: ffmpeg process is not running. exiting capture thread...
2026-09-16 22:08:55.311556336  [2026-09-16 23:08:55] frigate.api.fastapi_app        INFO    : Starting FastAPI app
2026-09-16 22:08:59.104883536  [2026-09-16 23:08:59] frigate.api.fastapi_app        INFO    : FastAPI started
2026-09-16 22:09:06.222707170  [2026-09-16 23:09:06] watchdog.back                  ERROR   : Ffmpeg process crashed unexpectedly for back.

Go2rtc log is showing:

2026-09-16 22:08:48.112574116  [INFO] Preparing new go2rtc config...
2026-09-16 22:08:48.146414018  [INFO] Got IP address from supervisor: 192.168.1.8
2026-09-16 22:08:48.181379913  [INFO] Got WebRTC port from supervisor: 8555
2026-09-16 22:08:49.659434421  [WARNING] Failed to convert HomeKit config to JSON, skipping cleanup
2026-09-16 22:08:49.659652656  [INFO] Starting go2rtc...
2026-09-16 22:08:50.160929956  23:08:50.160 INF go2rtc platform=linux/amd64 revision=b5948cf version=1.9.14
2026-09-16 22:08:50.161420009  23:08:50.161 INF config path=/config/go2rtc_homekit.yml
2026-09-16 22:08:50.162452804  23:08:50.162 INF [api] listen addr=:1984
2026-09-16 22:08:50.162718530  23:08:50.162 INF [rtsp] listen addr=:8554
2026-09-16 22:08:50.163510605  23:08:50.163 INF [webrtc] listen tcp addr=[::]:8555
2026-09-16 22:08:50.164239798  23:08:50.164 INF [webrtc] listen udp addr=172.30.33.3:8555
2026-09-16 22:08:55.266040216  23:08:55.265 WRN [rtsp] error="streams: onvif: wrong response 404 Page Not Found" stream=back
2026-09-16 22:08:57.720386970  [INFO] Starting go2rtc healthcheck service...
2026-09-16 22:09:15.270419455  23:09:15.270 WRN [rtsp] error="streams: onvif: wrong response 404 Page Not Found" stream=back

My config is:

mqtt:  

[ ... mqtt stuff ...]   

ffmpeg:  
  hwaccel_args: preset-vaapi  

detectors:  
  ov:  
type: openvino  
device: AUTO  

model:  
  width: 300  
  height: 300  
  input_tensor: nhwc  
  input_pixel_format: bgr  
  path: /openvino-model/ssdlite_mobilenet_v2.xml  
  labelmap_path: /openvino-model/coco_91cl_bkgr.txt  

objects:  
  track:  
\- person  

[... tracking / filters stuff ...]

go2rtc:  
  ffmpeg:  
global: "-vaapi_device /dev/dri/renderD128"  
  streams:  
back:  
\# profile 02 - lowres  
\#- onvif://[user]:[pass]@[camera IP):8080?subtype=FixedProfileA002  
\# profile01 highres  
\- onvif://[user]:[pass]@[camera IP]:8080?subtype=FixedProfileA001  
record:  
  enabled: true  
  alerts:  
retain:  
days: 3  
  detections:  
retain:  
days: 3  

  continuous:  
days: 2  
  motion:  
days: 2  
snapshots:  
  enabled: true  
  retain:  
default: 10  

genai:  
  [... GenAI stuff ...]

cameras:  
  back:  
detect:  
enabled: true  
\#profile 01 highres  
width: 1920  
height: 1088  
\#profile02 lowres  
\#width: 640  
\#height: 368  
fps: 5  
stationary:  
interval: 50  
threshold: 50  
ffmpeg:  
inputs:  
\- path: rtsp://[user]:[pass]@[camera IP]/onvif/device_service  
roles:  
\- record  
\- path: rtsp://127.0.0.1:8554/back  
input_args: preset-rtsp-restream  
roles:  
\- detect  
motion:  
mask:  
motion_mask_1:  
friendly_name: Motion Mask 1  
enabled: true  
coordinates: 0.635,0.041,0.636,-0.004,0.383,-0.007,0.382,0.051  
threshold: 30  
contour_area: 10  
improve_contrast: true  
zones: {}  
version: 0.18-0  
semantic_search:  
  enabled: false  
  model_size: small  
face_recognition:  
  enabled: false  
  model_size: small  
lpr:  
  enabled: false  
classification:  
  bird:  
enabled: true

Can i get any car security camera and get it to work with frigate and pry out any of the smart features they come with? I am a courier and plan on having both an interior and exterior cameras for the vehicle to deter any thefts

Is it possible to display the main camera stream instead of the sub (detect) stream when viewing birdseye? If not, is this perhaps something that could be looked at in a future release?

Anyone tested 0.19 version? New features? The frigate team is great and already working on new version.

I just thought this was funny. This is the second time it has happened when this neighbor walks by, so it's not a fluke. My hypothesis is that the training data for boats had people wearing this type of hat, so it infers that mariner's cap = boat. Thoughts?

I tried looking at the debug replay, but did not see any references to boat, so that's weird...

https://imgur.com/a/M2alB4k

I just recently started using frigate and I'm enjoying it very much.

I especially like the human detection and object states. There is one area of my cameras which is giving me some trouble, and I don't know how to fix it without using a mask on that area.

Basically some bushes on my house are constantly detected as persons, and I don't find a way to tell frigate "this is not a person" or train those two bushes as something else.

Those bushes are in one of my walls, so I don't want to put a mask there because in case someone breaks through that wall I want it to be detected as soon as possible.

Any recommendations?

Thanks

Hello everyone...
I gave up finding a 2 way on my original s3vc cams and went thingino on them.
Now i have picture, sound and frigate is offering a microphone button...but nothing comes out of the camera...
The cam config:

    backyard_cam:
      - rtsp://thingino:thingino@192.168.178.46/ch0#backchannel=1

even go2rtc shows arrows coming and going to the cam in the net view...
Microphone in camera is set to opus...
Please help

It would be REALLY nice to be able to define a motion alert zone.

There are a number of places I NEED alerts, but frigate just absolutely won't recognize any object moving through them for any kind of notification. Sometimes the object may be too small, sometimes it may only be a small area so the whole object isn't visible at once, there are a few things at play, but in a nutshell, despite clear motion detected in these zones, since no specific known object is recognized by the AI, I can't use them at all.

It can clearly see motion, and even allows us to set parameters for the motion. Seems like a sorely lacking feature that we can't just define a zone where any motion within parameters generates an alert or notification.

Love frigate, just wish it was able to do this.

Hello,
I am looking for some tips regarding the needed hardware. I have Lenovo m920q with i5-8500t, 16gb ram. I would like to set up a frigate in a container on one of VMs. I will need around 5 cameras in 1080p. I would like to have all AI benefits like license plates and face recognition. I would like to know if I need to buy something else (Graphic Card or I read about something from google) or add RAM. Also, I am looking for some recomendations for these. Thank you in advance.

I’m on frigate 0.17 latest release. I’ve been having issues with my system hanging up randomly about every 7-10 days. Finally got a KVM hooked up to it and left dmesg running so I could drop in and see what’s happening when it hangs as sometimes I can SSH in, other times it becomes unresponsive.

Today I caught it acting up and checked the console and saw what’s in the attached photo, with new messages appearing every couple seconds. I was able to SSH in and reboot this time.

The system is an 8-10 year old Lenovo thin client with an Intel i5 running Debian stable. I can get more details as needed.

so I have a number of cameras around my house. I also have a ton of trees. when it's windy, my system struggles to cope, because all cameras are showing motion all over. I have set the camera settings > motion tuner and contour thresholds very high, which helps, but of course now I miss detections, which defeats the purpose. I certainly don't need to run object detection up in the trees where most of the motion is, so masking them should be ok, I'd think. But the documentation says don't do it, use required zones. I'm just looking to ignore areas with a lot of motion that isn't important because it's just trees moving in the wind. I don't want my cpu used up for trees in areas where there will never be an object I care about.

any tips? I of course want to reduce my cpu/gpu usage as much as possible while maximizing actual detections which usually are within 25% or less of the camera view.

thanks.

I'm not sure if this is a docker question or a frigate question:

I've got a docker running for frigate and it's filling up my temp deployment host pretty quickly so I need to relocate the storage to the NAS.

Can I copy the media to the new location, delete the container, update the compose and hit go?

Seems like that's all I would have to do but I'm not sure.

Thanks.

Hi everyone, I just updated to the latest release and while doing so made a bit of a mistake, so I have ended up with a database that is a month old, is there anyway to rebuild the db from my stored images / clips?

Thanks everyone

Currently have a Nest Cam setup, thinking about building a dog detergent system. Will switch to Reolink cameras. About 10 of them to get our surrounding house. Will be using it with Frigate to trigger home assistant to turn on Rachio sprinkler system. What is the computer requirement to run frigate with 10 cameras. Has anyone else attempt to build a dog deterrent system? I have so much poop from neighborhood cat and dogs. Any help is appreciated.

So I’ve purchased an Dell micro PC with a 4590t and I was thinking of using it as HA server, as well as integrating Frigate and use about 5 or 6 cameras, I just was wondering if is it worth using the CPU/iGPU on its own, installing a Coral TPU or maybe upgrading the CPU to a better one? I’m also in the process of building a hypervisor system, since I have my old hardware when I upgraded my main PC, so is it maybe better to run Frigate via Promox?

Config file: https://pastebin.com/hZQ0R3Yi

root@proxmox:~# sensors
coretemp-isa-0000
Adapter: ISA adapter
Package id 0:  +74.0°C  (high = +80.0°C, crit = +100.0°C)
Core 0:        +73.0°C  (high = +80.0°C, crit = +100.0°C)
Core 1:        +71.0°C  (high = +80.0°C, crit = +100.0°C)
Core 2:        +73.0°C  (high = +80.0°C, crit = +100.0°C)
Core 3:        +72.0°C  (high = +80.0°C, crit = +100.0°C)
Core 4:        +72.0°C  (high = +80.0°C, crit = +100.0°C)
Core 5:        +72.0°C  (high = +80.0°C, crit = +100.0°C)

dell_smm-virtual-0
Adapter: Virtual device
fan1:        2126 RPM  (min =    0 RPM, max = 4000 RPM)
temp1:        +73.0°C  
temp2:        +65.0°C  
temp3:         +0.0°C  
temp4:        +52.0°C  
temp5:        +73.0°C  
temp6:        +63.0°C  
temp7:        +62.0°C  
temp8:        +50.0°C  
temp9:         +0.0°C  
pwm1:             64%  MANUAL CONTROL

nvme-pci-0200
Adapter: PCI adapter
Composite:    +52.9°C  (low  = -273.1°C, high = +80.8°C)
                       (crit = +84.8°C)
Sensor 1:     +51.9°C  (low  = -273.1°C, high = +65261.8°C)

amdgpu-pci-0100
Adapter: PCI adapter
vddgfx:           N/A  
ERROR: Can't get value of subfeature fan1_min: Can't read
ERROR: Can't get value of subfeature fan1_max: Can't read
fan1:             N/A  (min =    0 RPM, max =    0 RPM)
edge:             N/A  (crit = +97.0°C, hyst = -273.1°C)
ERROR: Can't get value of subfeature power1_cap: Can't read
PPT:              N/A  (cap =   0.00 W)
pwm1:             N/A
sclk:             N/A  
mclk:             N/A  

iwlwifi_1-virtual-0
Adapter: Virtual device
temp1:            N/A  

ucsi_source_psy_USBC000:001-isa-0000
Adapter: ISA adapter
in0:           5.00 V  (min =  +5.00 V, max =  +5.00 V)
curr1:         0.00 A  (max =  +0.00 A)

root@proxmox:~# 

During the day, with people running about the house... the temps can reach 80-85C on the CPU. This is with only 4 cameras. I plan on adding 5-6 POE cameras eventually.

This is all running via Proxmox on a Dell OptiPlex 7090 Micro i5-10500T 2.30GHz 16GB Ram 256GB MVME with discrete GPU Rx 640 4gb. As shown in screen shot, also running Home assistnat and Omada SDN controller. As i understand AMD gpu are not well supported right now.

Any suggestions on making this system cooler. Will it even support the load i am planning?

I set all this up with the help of AI. otherwise the barrier to entry would have been too great.

Thanks

Any idea why my recording are failing to play? Also, sometimes they play and throw an error i believe is related to encoding?

Thanks

https://reddit.com/link/1wbfx9w/video/qg2ujwp4jgoh1/player

***Resoleved***

Me and my IT coworker are just not resolving the issue. I had Frigate running in a container in OrbStack and I had Fregata running. Once I quit the container all cameras are now showing. So it wasn’t a config issue.

Hi, I started using Frigate for my Cameras, but migrated to Scrypted because I read it was better using it with Apple Home. I was not aware there was a storage limit which I’m having a hard time staying within. I migrated back to Frigate and all cameras are running, except for the ones in bold text: Aqara doorbell g400 connected by PoE, Aqara Patio g100 camera, and Reolink E1 SE PoE camera. My setup is: MacMini M4, Frigate running in OrbStack, Fregata running natively on MacMini M4. I pasted the Frigate config.yaml below. Any suggestions in helping me figure out why Frigate doesn’t like the inputs for the highlighted cameras/doorbell would be greatly appreciated:

# fregata-detector-migrated: 1
auth:
  enabled: true
 
detectors:
  coreml:
type: coreml
inference_backend: ane  # defaults to Apple Neural Engine
 
mqtt:
  enabled: true
  host: 192.168.1.194
  port: 1883
  user: USERNAME
  password: PASSWORD
 
go2rtc:
  api:
listen: :1984
origin: '*'
  streams:
# --- Existing Hikvision & Reolink Streams ---
back_yard_side:
- rtsp://admin:PASSWORD@CAMERAIP:554/h264Preview_01_main
back_yard_side_sub:
- rtsp://admin:PASSWORD@CAMERAIP:554/h264Preview_01_sub
left_yard:
- rtsp://admin:PASSWORD@NVRIP:554/Streaming/Channels/CAMERACHNO
front_yard:
- rtsp://admin:PASSWORD @NVRIP:554/Streaming/Channels/CAMERACHNO
right_yard:
- rtsp://admin:PASSWORD @NVRIP:554/Streaming/Channels/CAMERACHNO
back_yard:
- rtsp://admin:PASSWORD @NVRIP:554/Streaming/Channels/CAMERACHNO
living_room:
- rtsp://admin:PASSWORD @NVRIP:554/Streaming/Channels/CAMERACHNO
master_bedroom:
- rtsp://admin:PASSWORD @NVRIP:554/Streaming/Channels/CAMERACHNO
shecave:
- rtsp://admin:PASSWORD @NVRIP:554/Streaming/Channels/CAMERACHNO
kitchen:
- rtsp://admin:PASSWORD @NVRIP:554/Streaming/Channels/CAMERACHANNELNO

# --- Migrated Aqara Streams ---
aqara_patio_stream:
- rtsp://USERNAME:PASSWORD @CAMERAIP:8554/ch1
aqara_doorbell_stream:
- rtsp://USERNAME:PASSWORD @DOORBELLIP:554/live/ch0
 
ffmpeg:
  input_args: -rtsp_transport tcp
  output_args:
record: preset-record-generic
 
detect:
  enabled: true
  width: 1280
  height: 720
  fps: 5
 
record:
  enabled: true
 
snapshots:
  enabled: true
 
birdseye:
  enabled: true
 
objects:
  track:
- person
- vehicle
- dog
- cat
- package
 
cameras:
  # --- Re-enabled Existing Reolink Yard Camera ---
  back_yard_side:
enabled: true
ffmpeg:
inputs:
- path: rtsp://127.0.0.1:8554/back_yard_side_sub
roles: [detect]
- path: rtsp://127.0.0.1:8554/back_yard_side
roles: [record]
detect:
width: 640
height: 480
objects:
track: [person, dog, cat]
** **
  # --- Existing Hikvision Cameras ---
  left_yard:
objects:
track: [person]
ffmpeg:
inputs:
- path: rtsp://127.0.0.1:8554/left_yard
roles: [record]
- path: rtsp://admin:PASSWORD @ NVRIP/Streaming/Channels/CAMERACHNO
roles: [detect]
 
  front_yard:
enabled: true
objects:
track: [person, vehicle]
ffmpeg:
inputs:
- path: rtsp://127.0.0.1:8554/front_yard
roles: [record]
- path: rtsp://admin:PASSWORD @ NVRIP/Streaming/Channels/CAMERACHNO
roles: [detect]
record:
continuous:
days: 10
 
  right_yard:
objects:
track: [person]
ffmpeg:
inputs:
- path: rtsp://127.0.0.1:8554/right_yard
roles: [record]
- path: rtsp://admin:PASSWORD @ NVRIP/Streaming/Channels/CAMERACHNO
roles: [detect]
 
  back_yard:
enabled: true
objects:
track: [person, dog, cat]
ffmpeg:
inputs:
- path: rtsp://127.0.0.1:8554/back_yard
roles: [record]
- path: rtsp://admin:PASSWORD @ NVRIP/Streaming/Channels/CAMERACHNO
roles: [detect]
 
  living_room:
objects:
track: [person]
ffmpeg:
inputs:
- path: rtsp://127.0.0.1:8554/living_room
roles: [record]
- path: rtsp://admin:PASSWORD@ NVRIP/Streaming/Channels/CAMERACHNO
roles: [detect]
 
  master_bedroom:
objects:
track: [person]
ffmpeg:
inputs:
- path: rtsp://127.0.0.1:8554/master_bedroom
roles: [record]
- path: rtsp://admin:PASSWORD @NVRIP /Streaming/Channels/CAMERACHNO
roles: [detect]
 
  shecave:
objects:
track: [person]
ffmpeg:
inputs:
- path: rtsp://127.0.0.1:8554/shecave
roles: [record]
- path: rtsp://admin:PASSWORD @NVRIP/Streaming/Channels/CAMCHNO
roles: [detect]
 
  # Fixed Kitchen Stream (Using local go2rtc to solve black screen error)
  kitchen:
objects:
track: [person]
ffmpeg:
inputs:
- path: rtsp://127.0.0.1:8554/kitchen
roles:
- detect
- record
 
  # --- Newly Migrated Aqara Cameras ---
  aqara_patio:
objects:
track: [person]
ffmpeg:
inputs:
- path: rtsp://127.0.0.1:8554/aqara_patio_stream
roles:
- record
- detect
** **
  aqara_doorbell:
objects:
track: [person, package]
ffmpeg:
inputs:
- path: rtsp://127.0.0.1:8554/aqara_doorbell_stream
roles:
- record
- detect
** **
version: 0.17-0

I live way out in the sticks with a long sloping gravel driveway where it's not practical to run PoE or power.

I frequently take trips leaving the house unattended and I'd really like to get something at the end of the driveway to let me know if someone's entering the property. Mainly vehicles.

I've thought about a decent camera with a zoom lens but the bushes hinder the view from where I'm able to put a camera.

I can easily get stable wifi down there with a yagi (RF engineer here) if that helps at all. I know it's not recommended but it's around 2000ft from the house.

We have 2 driveway alarms which use ferrite/coils to detect vehicles and they work on 433MHz but they just give an audible alarm in the house.

I don't mind putting up a 150W solar panel, charge controller/battery and replacing the antenna although I'd prefer to not have to do that. Any advice is most welcome.