Frigate person recognition reddit Posting this here for searches / google / maybe to help another person in the future. Frigate is an open source NVR built around real-time AI object detection. I am experimenting with getting Hass and Frigate up and running either as HassOS + add-on or Hass container + Frigate container. Node-RED is subscribed to those events on the Mosquitto broker. Its not Using a Frigate+ model with Frigate will detect face as a "sub label" of person. I would add a min_score of . when PIR sensor turns on turn on frigate. Sign in Product GitHub Copilot. I created a zone at the bottom of my driveway to detect cars entering, but because of the angle of the camera, cars on the street regularly enter the driveway zone. person_count > 1 and/or double take matches X then {whatever automations you want} Ive had some okay success with BlueIris and deepstack for recognition. jpg images from Frigate’s In Frigate itself I counted 18 events in the span of 10 minutes ranging from ~45 seconds to 3 minutes - nothing out of the ordinary. family members) or a stranger. Still identifies my large cat as a boat on one specific cam, but I guess thats the angle and image quality letting me down. I can definitely recommend reolink for use as a security camera, the AI person detection has been just about perfect for me, and the on camera AI chip is almost instantaneous. So, all of my automations and integrations are done through Frigate. I’ve updated the instructions below to reflect the latest version since there were a ton of changes. If you want to scrub through timelines or things like that, you may find it a bit lacking. But when I started with Home Assistant, I cancelled my subscription and have my doorbell locally. That’s why I’m not using a VM. The training data is, I believe, based largely on generic images rather than CCTV images, so it's not so precise at differentiating between the subtleties of animals. I have it working perfectly when the camera detects a person, but I'm not sure if it's possible to restrict it to a zone. See the full configuration reference for an example of expanding the list of tracked objects the detection detects objects, not number plates and recognition works at low resolution and low frame rate, typically one uses one of the substreams - but depends on perf. 0. , Viseron is a self-hosted NVR deployed via Docker, which utilizes machine learning to detect objects and start recordings. It forces the related rest sensor to update, so the call is made to DOODS2, scanning a single frame from that camera. Reddit's most popular camera brand-specific subreddit! We are an unofficial community of users of the Sony Alpha How to setup Wyze V3 camera to work better with Frigate How to use and setup Wyze V3 for Frigate Person Detection NVR Version 1 ( March 2022 ) This guide is for those who want to use Wyze V3 camera on Frigate. Any suggestions for how I can remove the tree besides completely remapping the zones? I have a Nest doorbell, in the past including a cloud subscription and their person detection is very nice, where it even remembers who-is-who, if you work with it. Hovering on the chip will also show the name of the person. A single Coral outperforms most CPUs. If it detects my phone entering the home zone AND a person walking up to my door within a minute or so, it unlocks the door (and notifies me of that). The Frigate UI is a mess in my opinion. Deepstream - object detection, face recognition. Set it up a few days ago, ran into some issue on the install but since then it’s been great. Frigate keeps thinking the flower pot is a person. everything "works" but I definitely having issues with frigate unable to keep up with the camera feed. livingroom_frigate_person" appears to be zoomed in (cropped) and of square ratio. Indeed no event Frigate and Google Coral monitor all the RTSP streams for person detection. jpg for facial recognition snapshot: 5 Plugged the model designation into my frigate. These images are passed from the API to the configured detector(s) until a match is found that meets the 2. of my driveway, and not when cars pass by on the street. I have a decent camera with frigate which will create a snap shot including the plate which is usually very clear. For immediate help and problem solving, please join us Frigate's people detection works pretty good because I'm fine with recording whenever there's people. 11 which is not the latest version) night motion sensing is a bit better. A place to share and discuss all things related to home automation. A reddit dedicated to the profession of Computer System Administration. You can have Frigate as a Docker container or as Home Assistant add-on. I run frigate with coral usb, and run home assistant in proxmox with usb pass through. The subreddit for all things related to Modded Minecraft for Minecraft Java Edition --- This subreddit was originally created for discussion around the FTB launcher and its modpacks but has since grown to encompass all aspects of modding the Java edition of Minecraft. Plugged the model designation into my frigate. jpg for facial recognition latest: 5 # number of times double take will request a frigate snapshot. The payload is a call to DOODS2 referencing the debug feed of that camera in Frigate. However, I'm also looking for a generic motion detector binary_sensor that triggers on motion, despite an object being discovered or not. But, ALL of my cameras are recording 24/7. Frigate tracks objects in real-time and can determine the exact moment a person starts walking up your front steps or when a car enters your driveway. Or only opens the front door if the person comes bearing a case of beer. I still have a github issue opened on it. Frigate is running on HA in a proxmox VM on a intel i5 10400t (hp elitedesk). My frigate is often 70-71% certain it recognises a person walking around in my birdhouse. 13). I've finally achieved real-time object detection for all the cameras on our CCTV system. An automation for each camera fires on motion detection in Frigate. yml file. frigate works perfectly right now, I'm just wondering if there is something even better (but I'm only using the substream right now because there seem to be some problems in the network connection to my cams and I can't seem to get the 5MP feed from more than 1 cam at a time, even with the OEM hardware NVR). I'm already building home automations on top of frigate & nodered (using mqtt) and it works flawlessly! Kudos to frigate for such a great project! Now wanting to expand to automations based on Face Recognition and wondering what's the best path to take. If a person is detection, it sends an MQTT event to the Mosquito broker. 0 Frigate lovelace card v5. person. I have an O/C sensor on my front and a motion sensor outside the front door. In general though, the best way to get I have a camera mounted above a path and it doesn't really detect a person. and motion is just general motion (pixels changing color). The big bonus for me is the UI is fluid and highly usable. Destroyers were used for surface engagements and escorting warships. Even then, it would only be a "jitter" unless the door-colored person is standing at the door. Either this or skip notification for known faces. However, as an NVR its pretty basic. So I'm getting person detection events, but no cars. 0-614A36A via docker container, coral TPU and nvidia 1660 super GPU Home Assistant 2023. jpg images from Frigate's API. When I click on the Amcrest I see the video feed do this on the Wyze and you wait anywhere from 1 to 3 seconds before you see anything. retain: # Required: Default retention days EDIT 01-27-2020: Frigate 0. From there install the addon in ha and you can turn detection on / off for the cams you setup. The Frigate server is doing 24/7 recording and object recognition on all cameras. I could imagine ways of implementing a two factor authentication where license plate recognition was merely one factor. Write better code with AI Security. Now in Early Access! Lead the future of humanity and harness the power of stars by building the first Dyson Sphere in the whole galaxy! And configuring it properly for capturing just movement in combination with object/item/person recognition was a hassle. I'm concerned about the fact that the dual TPU doesn't actually double the "horsepower" because of incompatibility or whatever (or maybe it's a complete overkill for 10 cams) If there’s ever simply a single file that I can download and replace an existing file that will give me better recognition, let me know. Describe the problem you are having First thank you for developing such an awesome tool. New to frigate and impressed with its capabilities with regards to object detection. It ran for a few days but the pattern (person) recognition of Frigate takes too high load on the CPU to leave room for other Docker instances like Home Assistant and Plex so I decided against it. Haven't seen any recent posts re Face Recognition and would appreciate any initial directions (docs, blogs, videos) to get me View community ranking In the Top 1% of largest communities on Reddit. person_count = 0 turn off frigate. 75 and a threshold of . Internet Culture (Viral) Amazing Yes i am still struggling to set up facial recognition with frigate and google coral. It actually doesn't rely on motion at all, we have renamed this in the next major update (currently in beta) to be presence sensor so it is more clear. I don't have a TPU as yes but hoping I will shortly. I'm trying to get only person recognition. My aim is to keep a log of plate numbers and use this to call out new ones. The Amcrest feed is much higher quality, night vision is actually usable, and the most important is the speed/stability. I started working on this when I got tired of my Arlo cameras always giving false positives or not recording at all. 3M subscribers in the homeautomation community. Frigate uses 300x300 models to compare with. For example, a professional tennis player pretending to be an amateur tennis player or a famous singer smurfing as an unknown singer. Still works great! EDIT 12-15-2020: I just noticed that Frigate has a How to setup Wyze V3 camera to work better with Frigate How to use and setup Wyze V3 for Frigate Person Detection NVR Version 1 ( March 2022 ) This guide is for those who want to use Wyze V3 camera on Frigate. If you are wondering what Amateur Radio is about, it's basically a two way radio service where licensed operators throughout the world experiment and communicate with each other on frequencies I have never used Frigate, but the main difference that i can see is that Viseron has support for different kinds of detectors, and some better hardware acceleration (CUDA, Jetson Nano etc) Also has built in Face recognition and Doesn't really apply to Frigate, though. jpg for facial recognition. . The unofficial but officially recognized Reddit community I've been testing Frigate+Doubletake for facial recognition on people. Node-RED notification flow for IOS Users - Send notification when an object is detected, 3D/force touch into notification for live view of camera, use actionable notification to send the clip (intelligently waits for clip to be ready) . Frigate entity person motion sticks on if motion lasts too long . 0 has been released. Powered by Indeed no event was created, even though it seems that for an instant it realizes that I was a "person" Frigate config file. Frigate in this method is doing the work of detecting if person is present, then it's just coordinating those camera images with the facial detectors to find a face and output the results. ai) before with Blue Iris for object recognition. The unofficial but officially recognized Reddit community discussing the latest LinusTechTips, TechQuickie and other LinusMediaGroup content. 11+ option to include names in frigate events labels: - person stop_on_match: false attempts: # number of times double take will request a frigate latest. # object labels that are allowed for facial recognition. Person is a camera snapshot of the last person that was detected by that camera, it will show active all the time but that does not mean anything other than it has a picture. Is this possible? Welcome to Reddit's own amateur (ham) radio club. detect When frigate. I've just tried the Frigate add-on in HassOS. I also have a couple of cameras, and I also have Frigate for person recognition. Face Detection and License Plate Recognition with frigate. *. It is essentially a replacement for Google Photos that is hosted locally. If so and someone has it working, could you share your configuration file for a I recently started using Frigate which allowed me to detect when people were in a room, but what if I had friends or family over? I needed a way to distinguish each person from the images Frigate was processing. In my setup frigate night person recognition is poor (I'm use frigate 0. If your object is smaller, it'll be harder to compare. Frigate can't yet handle retention based on available disk space. Active Director Groups broken. 2 to the device for storing the recordings You can also view thd Frigate camera but the framerate is low so better to just go to the source. I've double take with compreface and frigate installed and set up. Any of these turn on the outside light. The Official subreddit for Dyson Sphere Program, a sci-fi management game by Youthcat Games and Gamera Game. It is called Frigate and I’m going to demonstrate you how to setup it and how you can integrate it with Home Assistant. I see one is Now, Frigate did add some new features, like requiring motion to happen before recognizing a person to help with false positives, but I still found the higher quality models to be near bulletproof in recognition, and I chose to go that route and am still very happy with DOODS. mqtt: host: *** port: *** user: *** password: *** detect: enabled: true width: 640 # 960 height: 480 # 540 fps: 10 # 5 # Optional: Number of frames without a detection before frigate considers an object to be gone. Find and fix Frigate, destroyer escorts, and corvette were the main escorts. So I've used Deepstack (now CodeProject. Are there any addons / plugins to do facial recognition Skip to content. Is this the correct usage or does it need to save the area numbers within GUI as well? This is what I have for my camera under its Objects portion of the yaml code: ``` objects: track: person bear dog cat filters: person: You can use service like plate recognition service which is free for limited number of use per month. it's got a nice clean field to work with to find a person so go back to the documentation and look at minimum score and threshold With Frigate+, you get a model fine tuned to your cameras for improved accuracy in your specific conditions. It would be cool to be able to set alarms based on Frigate person detection and time of day. With a better PC (I used a mini Ryzen 4500, no need at all going so “high” spec), I run 4 cameras, recording 24/7 Using the frigate hass integration you can use the "person motion sensor". Frigate - motion/object detection only, Coral accelerated. I can access live streaming, but events list is empty. It was now detecting people with a 95 to 99% probability. Please note: car is listed twice because truck has been renamed to car by default. All processing is performed locally on your own hardware, and your camera feeds never leave your home. Am I missing something? Furthermore, what exactly is overridden when arguments are specified at the camera level? # Optional: Enable writing Ubiquiti Protect is a pretty good system, but its lacking facial recognition. Get the Reddit app Scan this QR code to download the app now. This means that we can get an alert if a car is in the driveway, a person at the door, or a chipmunk in the back yard. Hey everyone, Looking for help in setting up an automation that will trigger when a person is detected in a certain zone in Frigate. Maybe I mischaracterized my setup, it’s Frigate running in Docker on Ubuntu, and the Ubuntu is on bare metal. Looking for recommendations. You can then feed your image into a third party face recognition solution like Double Take, which then feeds back I'm looking for some tips to improve person detection I always thought I had everything set up for the best, until last night I realized I wasn't detected by frigate. With a proper PC there’s no need for a TPU. 16*. If it Frigate Person Detection is Idle? Support I added a bunch of cameras, but also left some old ones in place. Get app Get the Reddit app Log In Log in to Reddit. MotionEye is installed on Raspberry Pis, capturing footage all around the house. If i would be able to set that confidence treshold to 75% it would save me a I'd be interested in how you might use that. I was planning to use the new device also for 4K transcoding for PLEX, so I've found that the new Intel N100 works wonders for this purpose. Facial recognition is used to determine if a face is a known person it is trained on (e. Frigate 0. Is there a way to improve detection other than increasing the score? Actual people have a score of 78-84, and the pot is 77 at times. Or use a tensor processing unit($25 to $50) and a software like frigate to throw frames at the tpu and As the title implies, I want Frigate person detection events to trigger a main HD camera feed to record in BlueIris. You will be able to fine tune your model with the images you have uploaded and annotated up to 12 times with your annual subscription. But I can't even count how many times a tree has been detected as a person, or a cat as a bicycle. My problem isn't zones though. However, myself and others only get a 72% confidence rating (slightly offended ha). We would like to show you a description here but the site won’t allow us. I'm happy to announce there is now an official Home Assistant add-on to help decrease the barrier of entry for setup. A celebrity or professional pretending to be amateur usually under disguise. detect when you leave the room) When frigate. I've commented out person detection on the config, reloaded the app, shutdown and restarted the docker container, but still When I enable person detection on my camera it says "active" and has the same thumbnail/clip with Hi, Thanks for responding. g. For videos of celebrities just going undercover and not doing the activity they are known for please submit to /r/UndercoverCelebs. there's a section about this. When I create an object mask in Frigate (Add to Person) I copy it and place it in my frigate. The icon for cat occupancy is a cat. 3 via docker container Nabu Casa for remote access Frigate Home Assistant Integration v4. jpg and latest. Never more than that. 1) with at the moment 4 1080p cameras (will add one or two more later on). I can get my dog recognized as a human or a cat and sometimes a bird. Not a perfect solution something to start with. Also you have doubletake which is by yakowlenko, not maintained as well (it's dead). jpg image from Frigate produces better results and you can also crop it in real time with query parameters as long as that Frigate event is still in progress. If you experience issues and instability using Wyze`s original RTSP Firmware or your Bridge docker does not work correctly. I have trimmed frigate a little (motion masks etc) so the cpu load is around 5-10% with a peak at 15%. These object types are frequently confused. 11. The distinction persisted after the war. Frigate person detection stuck on active, same snapshot for a day now . If I stay in the garage too long, the template sensor stays "on" and won't turn off. Home Assistant is open source home automation that puts local control and privacy first. I didn’t keep track of false negative but certainly getting more detection on my native unifi protect detection. Frigate: This is the NVR or network video recorder. I was thinking that I would be using that unit also for processing and the NAS connected via USB 3. I am hoping to create an automation that Looking to start playing with facial recognition and was wondering if double-take is what I should be looking at. 4 port: 1883 username: x password: x topics: # mqtt topic for frigate message subscription frigate: frigate/events # mqtt topic for home assistant discovery subscription homeassistant: homeassistant # mqtt topic where matches are published by name matches: double-take/matches # mqtt topic where matches are published by I use and love Scrypted, there is very little Frigate can do that it can't. Deepstack shouldn't do any recognition until after person detection from the Coral. I have the Frigate Home Assistant Integration configured which exposes person detection (binary_sensor) and person count (sensor) — both work well. Security A rest sensor is set up for each camera. I was wondering if there was any third party software that can work with Ubiquiti. You could use phone state as a second factor, where a list of authorized phones are associated with the vehicle and if the phone has transitioned to an on-premises state within X seconds of the event, allow the gate to open. It recognizes it and has a box around it but it won't record it or notify me. these are all workloads done on the CPU or GPU, the Pis hardware acceleration is not very capable relative to a device with an intel or My Frigate config has snapshots > crop:False, the Frigate UI shows the full sized (not cropped) objected detected image (as expected), the Home Assistant media browser shows the full sized (not cropped) images. I think that in the future as Frigate develops further it could become much more suitable to how I like to have my cameras interface with me, but at present I would lose tremendous functionality if I only had Frigate excels at AI object recognition and integrating it in to HA to create clips and alerts/automations based on what is detected where and when. 8 That camera has a limited area that it needs to monitor there's not a lot of sort of crap around it for lack of a better term at the moment. I've tried everything. record: enabled: True retain: days: 7 mode: motion events: retain: A number of folks are using theae with Frigate, and I would love for these tools to work together to automatically train on friends and family in my photos and then recognize them at my door. ALPR is separate but can be done with code project ai once frigate (or whatever) detects a license plate That being said, here's one of the automations I use for the Frigate object detection and BI recording, just to get you started alias: Frigate Person Trigger BI Record BP - Zones description: Use Frigate person detector to trigger camera recording in BlueIris trigger: - platform: state entity_id: - binary_sensor. person is the only tracked object by default. yaml and edited my minimum and threshold for objects. Or deadbolts the door if it detects a suitcase. Most CPU's and GPU's have decoders, but passing them to Frigate will depend on the decoder and how you are running Frigate (hopefully docker). But don't really know how the cameras might be used in conjunction with alarms? Edit: I have frigate. Would a next level of detection be object actions? Such as person standing, person walking, person running. This subreddit has gone Restricted and reference-only as part of a mass protest against Reddit's recent API changes, which break third-party apps and moderation tools. Restarted frigate and immediately noticed that my detections were much more accurate. I am using Frigate on my HA alongside Deepstack/Compreface and DoubleTake. Is there anyone still using double take and if so can you please post a double take /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will bankrupt app developers, hamper moderation, and exclude blind users from the @blakeblackshear @NickM-27 I am not sure if Frigate has had any consideration into implementing facial recognition into the NVR itself or not. I am also not sure if many here are following the development of the Immich photo & video self-hosted app. You would also probably benefit from using a decoder. 168. Is Deepstack still being maintained. Frigate can connect to protect over rtsp. You can use a minimum of 10 images, but they recommend 100 images per camera. The Coral will greatly increase your image recognition capabilities. I am having issues with my Get the Reddit app Scan this QR code to download the app now. Although a passive IR detector can detect a person that is moving, once they settle down the IR sensor will no longer "see" them because it is triggered by a change in temperature; the person does continues to radiate IR energy when they're not moving but it is not changing. Navigation Menu Toggle navigation. masks are evaluated based on the bottom center of the bounding box, so there's no reason to mask the entire area off, usually a very small mask is quite effective for false positives like these. 4) - SgtB. I have found that a passive IR temperature sensor can be used to From my understanding the object recognition models used by Frigate are Alpha/Beta and they work OK. If it's moving, a higher percentage of the pixels will be blurry, if that makes sense. Are you taking about object recognition or facial recognition? Object recognition is used to determine what things are present in the image (person, car, truck, bicycle, etc. No facial recognition stuff, I dont believe in that and wouldnt want someone being able to enter my house by holding up a picture of me. My yml is this: mqtt: host: 192. ** port: 1883 user: imthedumbuser password: veryhardone birdseye: enabled: False width: 1280 height: 720 quality: 5 mode: continuous This subreddit has gone Using Frigate + Double-Take I get notifications with the name if the "person" is recognized so it is easily ignored vs notifications with "person" which should be looked at more closely Once Frigate+ models become available and I have access to "license_plate" and "package" I have a handful of other ideas for new automations Imagine no more as there is one. The video has to be an activity that the person is known for. back_lawn_person_occupancy Not yet, I’m running the GPU exclusively for the facial recognition, frigate and compreface are in two separate VMs, but I’ll run then together in the future. The integration of frigate person recognition allows for more precise tracking and monitoring of individuals, making it an invaluable tool for security and surveillance applications. When the container starts it subscribes to Frigate’s MQTT events topic and looks for events that contain a person. That allows you to have a smaller image when passing it to CompreFace/Facebox which will produce quicker responses. Doorbell/Peephole camera detects movement > images are sent to Amazon Rekognition for person detection (loop of 4 until person is recognized, one per second or so) Doorbell is pressed I don't want Deep stack/Frigate running just for this, much less on a slow mini PC or a Pi Frigate is excellent, within the bounds of what it does. Unfortunately it can't be integrated in Frigate, so I will replace it someday. , the built-on COCO model plus another? If all really want to do is to detect both people as with the COCO model and squirrels ;-) as with the MobileNet V2 (iNat birds), what is the simplest way to go about it? I use frigate in combination with my phone. but leave person at a longer time frame. I've used wyze, the Samsung cam, and blink in the past. latest: 5 # number of times double take will request a frigate snapshot. When just a foot is triggering motion, Frigate will zoom in and look only at the foot. 4K subscribers in the frigate_nvr community. If that even qualifies as a person, it will determine the object is being cut off and look again and again until it zooms back out enough to find the whole person. Funny enough it’s much easier than setting up motion detection imho Frigate includes the object labels listed below from the Google Coral test data. 2 bare metal on HAOS with an M2 Coral. Double take isn't accurate or is, it's just an interface between frigate and face recognition software. So unless a person with the same average color of the door goes through the gap, the "sensor" would correctly register the door as open. I had already had unifi protect that does person and car detection. Say I'm having to do object/person detection on 10 cams. Having recently switched everything over to Frigate, I feel this new setup is much easier to maintain, plus it was built from the ground up to be integrated into HASS in the first place. Frigate’s documentation specifically doesn’t recommend using a VM if you intend to use Coral TPU because it’s so hit or miss getting the TPU to pass through. I was able to setup Frigate but when I went to install Deepstack, their github does not look like it has been updated in 2 years. I am trying for a long period now to get my facial recognition in HA working. You're not using minimum score or threshold either that I can see. I am hoping to create an automation that checks if it’s me at the front door camera. A sensor is being generated, recognizing my face. Do I need to set something different here? Using go2rtc and Frigate 0. Cool. Does Frigate have plate recognition on its roadmap? License plate is already supported for frigate+ models (which are slated to come out with 0. I am trying to put the person name whenever a person is detected by Frigate. snapshot: 0 # process frigate images from frigate/+/person I really love Frigate combined with it's Home Assistant capabilities. probably because it's on CPU right now wihle I wait for Coral Since I have upgraded frigate to the newest version my notifications have not been functioning correctly. Is there a way to improve person recognition other than increasing the threshold? There are filters that could be used, like a min_area filter for person. The recording and detection switches also operate as expected. I’ve integrated with frigate person/pet detection with actionable notifications. Maybe a generic 4-legged object? Double Take is a proxy between Frigate and any of the facial detection projects listed above. I tried BlueIris a few months ago and if i remember right it needed waaaay more resources than Frigate. labels: - person - mike. Not when I drive in and out of my driveway, and not when cars pass by on the street. A decoder will help with the video intake. 13. By Frigate on the other hand was designed specifically to do object detection on CCTV feeds and setting it up was pretty simple (you do have to manually write a config file unlike Shinobi but pretty much everything you need to know for that is explained in the docs and it's really easy). My plan was to use: Triggered by person detection Verify the person is me (use additional security features like: Car is home, Cell Phone is home, I've found the snapshot. Try out the demos someone posted in this thread to see how you feel. Works either after the object detection output by Frigate, or on its own. 0 EmpireTech 4K Camera with 3 streams enabled: There's been a ton of posts all over the internet about getting Reolink 8MP cams to work in Frigate and I have personally seen many posts on github, reddit, forums saying to give up BUT with the excellent support from Reolink I was able to get my cameras working. So you could make it so that the batcave secret entrance only opens if it detects a person standing there wearing a buttonhole and holding a bottle of château lafete in one hand and an umbrella in the other. I'd recommend you to use compreface instead of deepstack, as its not maintained. Reply reply frigate detects a top and a hose reel as a person. 8. $ docker stats shows container memory limits for all When the frigate/events topic is updated the API begins to process the snapshot. 7 # Optional: mask to prevent this object type from being detected in certain areas (default: no mask) # Checks based on the bottom center of the bounding box of the object mask: I was wondering if I were to write a script that would scrape the state/county database, save the mugshots/sex offender pictures, categorize them based on type of crime (and discard the stupid stuff like possession of marijuana), could frigate/double take reasonably identify those people just from a mug shot so that I could then get an alert on home assistant that such a person is near Face recognition Image classification Hardware Acceleration (CUDA, FFmpeg, GStreamer, OpenVINO etc) MQTT support Built-in configuration editor I don't use Frigate myself so I can only speak for Viseron, but Viseron provides more options for different object detectors as well as face recognition for instance. You probably want some sort of separate NVR so that you have a 24/7 recording as you never know when that will be useful. 12. Detection is roughly equal on both platforms, and both support MQTT for HA use. When I go into HA under "Down Main Person Motion" binary sensor, I get a rapid-fire of 9 "person detection" events in about 15 seconds - they all fire and clear after 1-2 seconds. We are Reddit's primary hub for all things The dev just put up brand new docs for the v8 release - best tip is to start with the super simple config file and build up from there. As far as my HA setup, frigate handles everything camera wise for I am using Frigate on my HA alongside Deepstack/Compreface and DoubleTake. I use both reolink cameras for security and frigate for person detection automations (lights). detect (This covers retriggering of the pir / movement within the room and also turns off frigate. Only the "camera. I am unable to get real events but when I look into the recording I can clearly see that the object is there but Describe the problem you are having First thank you for developing such an awesome tool. All match and training images are saved to the /media directory for easier viewing within Home Assistant. Frigate also uses MQTT to talk to HomeAssistant so it can trigger automations, notifications, snapshots, etc. Use the top search line here on Reolnk Reddit, type "license plate reader" you'll find prior posts about it. Frigate is using OpenCV and Tensorflow to perform realtime object detection for your IP cameras locally. The difference was that destroyers were fast and the others were slow, just enough to stay with convoys. Also, a generic animal object would be great as I've got dogs, cats, possums, coyotes, raccoons and other assorted critters. So I've read a few posts about animals. But with full respect to the Frigate contributors, the objects that it can recognize or note really useful. I moved from in-camera detection (HikVision) to Frigate and it eliminated 95% of false positives from things like birds, trees etc. Besides object recognition there is a lot going on in Frigate that can overload the tiny pi. Imagine no more as there is one. I made Frigate run on my Synology 920, running both MQTT and Frigate in Docker and three camera's connected through RTSP. For a certainty it works, but not how i want it. I want to get a notification as soon as a person is detected, but then a timeout of, say 5 minutes, before it can trigger again. Frigate Notification (0. I am trying to stop that by putting a object mask for person but the false positive and the alerts don't stop. objects: track: - person filters: person: # Optional: minimum decimal percentage for tracked object's computed score to be considered a true positive (default: shown below) threshold: 0. For object recognition, whether it's Deepstack or Code Project AI, the real View community ranking In the Top 1% of largest communities on Reddit. It uses MQTT to interact update_sub_labels: true # frigate 0. On the two outside cameras in areas I plan on using double take for facial recognition with Frigate NVR. Can't get notifications with the persons name even with the blueprint Thank you for this! I gave up trying to do Frigate MQTT person detection I'm trying to use frigate with a TP-Link tapo C200 camera, but can't put it to work. /r/StableDiffusion is back open after the protest of Reddit killing open API access, which will But now I have installed 3 cameras and moving to frigate. Now if you are just detecting 'car' as an example get a camera with one high resolution main stream (to take pictures) and one substream that meets the recognition guidelines. Similarly for cusotm events, the icon is added to the alert and you can hover on the chip to see what the labels are. The destroyer escorts and frigates were primary ASW. ) . Originally my plan was to follow Everything Smart Home's videos on setting up Frigate, then Deepstack then Double Take. In summary, Frigate's video pipeline is a well-structured process that efficiently combines motion detection and object recognition to provide a comprehensive surveillance solution. be used with Frigate with an appropriate width/height config or only object detection models? Is it possible to use two models concurrently, e. occupancy is the actual sensor that shows if a person is currently detected or not. The model you are using is the normal frigate model which does not have licence plate recognition. Frigate is superior for object detection and effortlessly integrates with HA. I've minimized it through playing with the settings but as accuracy increases, the amount of missed events goes up with it. It consolidates all your camera streams and does some basic object detection using some basic AI. The detection event fires too often for the same person. On the two outside cameras in areas where a person would be detected it like 71 or 73% probability. Internet Culture (Viral) Amazing You mean recognize it on board or just use the module to capture images and send it to some other server for recognition? Reply reply Frigate Person Detection is just magic job well done devs! Now I need frigate in my car with a roadcam. Running the latest frigate (0. Now I'm using Frigate (docker) working with HA to do object detection and automation (Text-to-speech that car is coming down driveway, etc). Do the same on YouTube. You need to pay the subscription and train a model using your images to get licence plate objects, same with packages. Expand user menu Open settings menu. Is not directly supported/accelerated by Coral, but there are implementations using GPU accelerations. Just to try Frigate I set one camera, just recording clips on person detection on a Pi4 and the CPU use went up to about 80% most of the time. r/frigate_nvr A chip A close button. When a Frigate event is received the API begins to process the snapshot. GameMaker Studio is designed to make developing games fun and easy. Or check it out in the app stores     TOPICS. In my mind they would be looking for the door's color, not the gap's. I still struggle with a couple things and would love the help from you guys. filters: person: # Optional: minimum width*height of the bounding box for the detected object (default: 0) min_area: 5000 # Optional: maximum width*height of the bounding box for the detected object (default: 24000000) max_area: 100000 # Optional: minimum width/height of the bounding box for the detected object (default: 0) min_ratio: 0. Notification Minor quibble: Frigate person occupancy sensor icon So, Frigate's default icon in the HA UI for bird detection/occupancy is a bird. As it stands currently, I have to manually select and crop photos of each person and feed them to double-take 3. Higher resolution, larger weight models, lower thresholds. attempts: # number of times double take will request a frigate latest. I use frigate for all alerts and protect solely for recording/viewing. Come and join us The official unofficial subreddit for Elite Dangerous, we even have devs lurking the sub! Elite Dangerous brings gaming’s original open world adventure to the modern generation with a stunning recreation of the entire Milky Way galaxy. Frigate is using OpenCV and Tensorflow to perform realtime object detection for your IP Blue iris is a superior nvr. 2. I cant seem to find an option in frigate to set a confidence treshold. (default: all tracked objects) objects: - person - vehicle - dog - cat - bicycle # Optional: Restrict recordings to objects that entered any of the listed zones (default: no required zones) required_zones: [] # Optional: Retention settings for recordings of events retain: # Required: Default retention days (default: shown below) default: 7 # Optional: Mode for retention. I'm running Frigate on an NUC i5 and like 10-15 more containers without Coral and I really can't complain. Log In / Sign Up; Advertise on Reddit; Shop Collectible Avatars; Get the Reddit app hwaccel_args: preset-vaapi objects: track: - person - I have a magnolia tree near one of my cameras that's currently decorated with lights. If you don't use Frigate, but had a motion sensor and a live updating jpg image from Home Assistant or another source, you could pass this URL to `/recognize` endpoint and increase the amount of I've been working on Double Take over the last 6 months to help streamline the process of performing facial recognition and training. Needs some API where people can send public messages /upload video of that car tied to the plate. After adding the new cameras, the "Person" camera is "Idle" and the "Person Occupancy Detected" isn't updating. I saw some old articles about using Sighthound in collaboration with the cameras, but it seems to be geared towards cars, rather then people. I have a template sensor to combine my two garage cameras into one motion sensor using Frigate person detection. Has anyone had any luck with any integration relating to number plate recognition. Or check it out in the app stores 5 mode: all events: pre_capture: 10 post_capture: 10 objects: - person - car - bus - motorcycle. 5 # Optional: maximum The lowest cpu footprint for Frigate and Deepstack is to use a Coral as well as a dedicated GPU. Members Online. Refine your notifications based on precise For example I have face recognition and when someone is recognized it will show the usual person icon but with a check mark next to it. If I just run out to the garage and leave 3. My experience with native frigate set up it has around 10% false positives. For some odd reason, all night long it thinks it's a person, getting as high as 80%. I use blue iris when I want to look at footage. The cameras can also be pan/tilted/controlled directly from home assistant (). Frigate is an NVR (network video recorder) that uses AI, specically tensorflow lite models, to track objects (people, cars, dogs, cats, etc) and alert you in a myriad of customizable ways when something "interesting" happens (person comes up to your door, for example). Frigate evaluates presence in a zone using the bottom centre of the object bounding box. With everything set up correctly, six camera streams of 1080p might see about 5-8% CPU usage. It is also detrimental to how Frigate tracks a moving object. This subreddit is dedicated to providing programmer support for the game development platform, GameMaker Studio. Many thanks mqtt: host: 192. the workload of frigate includes a lot more including decoding a video stream into individual frames, potentially resizing frames, motion detection, etc. Or car stopping, car stopped, car begins moving, car moving. I am trying to use the Double Take facial recognition with the Frigate Notifications (SgtBatten/HA_blueprints), but not able to get it working. 293K subscribers in the homeassistant community. If you want facial Admittedly I am running Frigate on a Debian 11 machine which is not my usual OS so perhaps my difficulties with getting Frigate to run could be due to my not being a Linux person. I am having issues with my frigate. ciibd phtgph zpsksj nhk yqsc gwmoee lfzat scokjgp lqfnj uhrfyhu