Frigate face recognition 16 introduces several major new features. Unfortunately, you have to have the detection notifications inside MQTT from Frigate for Double-Take to watch for facial recognition. I would like to have home assistant feed the picture(s) to deepstack or another face recognition softwar Frigate 0. ***> Sent: Sunday, March 2, 2025 3:23 PM To: blakeblackshear/frigate ***@***. So wait or have a play with the dev version of frigate. 0 beta release, complete with NVIDIA support. Already working well. So what I did was installed the new version while the old was one running, shutdown the old version, repointed the add-on configuration for new May 7, 2021 · Hi all, I just installed this as my first tentative to have face recognition. Frigate doesn't do individual face recognition, but rather object recognition (cat, person, fish etc. ai. Deepstream - object detection, face recognition. 0-b18d1fb. It is displayed nicely in the UI. Face Recognition. I would like to not see those. MQTT What you don Aug 16, 2024 · Double Take 是一个训练和识别人脸的工具，支持对 Frigate 中检测到的人物对象进行人脸识别，可以用于统计监控中出现的人物信息。不过经过测试，只适用于门禁、闸机等有清晰人脸的场景，日常的监控因安装位置、角度等原因无法提供清晰的人脸，因此识别的准确度和有效性并不高 Double Take … I containerized an API which subscribes to Frigates MQTT topic and then takes images from the API and passes them to compreface or facebox for facial recognition. See full list on community. 16, is it possible? in the 0. every visit to the front door at least makes 10 face recognition suggestions. The solution also features a role management system that allows you to easily control who has access to your Face Recognition Services. But I'm currently trying to add facial recognition via double-take and compreface. I don't think the card supports it, and if it didn't show up in frigate itself then it would have been impossible for the card to support it. After a considerable amount of time, I have successfully installed several UniFi cameras around my house, and I am now ready to delve into object and facial recognition fully. Using a UI for face recognition, you can see the original picture with marks near every face. the only need for "surveillance" with frigate is to get sublabel on known faces, so immich has to be trained with asset collections on the face you want to recognise. Aunque presentan ciertos desafíos, como la necesidad de ajustes y pruebas adicionales, ofrecen una forma conveniente de entrenar y procesar imágenes para este propósito. Introduction: The world of facial recognition on Raspberry Pi Overview of facial recognition on Raspberry Pi Best detectors for double-take and frigate Setting up facial recognition on Raspberry Pi Best practices for optimization Conclusion: Your path to advanced facial recognition Overview of BytePlus ModelArk: Is there a way to "ungroup" facial recognition groups in QuMagie so that I can correct the wrong tags without changing the ones that are correct? It's almost like I need an "unlink" these people option. The user shares challenges faced while using the software, particularly with its integration into their existing system and the performance of different detectors like DeepStack and CompreFace. decoding, motion detection, etc. Frigate is an open source NVR built around real-time AI object detection. 3. It also reads messages sent by Frigate to MQTT when a detection occurs, grabs the snapshot, sends it to Deepstack and pushes to result back to Frigate as custom recognition (Face or whatever). g. js and I believe the Frigate backend is in Python, so no easy way to merge unless someone rewrites it. " - sounds exciting, but then I read about your use cases and don't get it. 9. Face Recognition SDK Javascript using ONNX Runtime Web and OpenCV. When the container starts it subscribes to Frigate's MQTT events topic and looks for events that contain a person. AI, CompreFace, Deepstack and others. Facial recognition is only as good as the training data provided. Double take isn't accurate or is, it's just an interface between frigate and face recognition software. Frigate and deepstack run on jetson + coral, as jetson has a hardware video decoder for frigate, and gpu for deepstack. The object recognition is to be done with Frigate and the face recognition with compreFace or Facebox. Deepstack shouldn't do any recognition until after person detection from the Coral. Nov 20, 2022 · This is probably for the frigate lovelace card, i don't get these labels on that card (and i think i used to get them, but i might be wrong). I will appreciate if anyone could share a link to the latest deployment guide. Recognized faces can be included in built-in notifications and integrated into third-party notifications. Thanks! Awesome! This is so cool! Thanks for sharing! I was able to get just the text value out like this: message: "{{ generated_content['text'] }}" Full code: alias: Google AI Describe Photo sequence: - service: google_generative_ai_conversation. These images are Feb 19, 2025 · This video 📹 is a must-watch for anyone who wants to learn the easiest way to get Local Object Detection in Home Assistant with Frigate. XX username: mqtt password: !secret mqtt_password 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 Working great so far, training takes no time at all on jetson. You'd need to use an add-on solution to do specific face recognition, but also be aware that camera placement can make this tough - cameras at roof height are unlikely to get enough detail (especially at night) for reliable, specific face With Frigate+, you get a model fine tuned to your cameras for improved accuracy in your specific conditions. Is there anyone still using double take and if so can you please post a double take config? Working great so far, training takes no time at all on jetson. I really can’t see that being possible even with a coral TPU. That should at least somewhat address your use case, as faces are a consistent and reliable identifier - even our own brains rely on them to distinguish individuals regardless of other appearance changes. Does Facial Recognition work? I talk through my experience using Double-Take, Deepstack, and CompreFace with the Frigate NVR. I am hoping to create an automation that checks if it’s me at the front door camera. Nov 19, 2024 · You can use an automation similar to Guide: Local License Plate Recognition With Home Assistant, CodeProject. Raspberry Pi Official Examples Feb 23, 2024 · I have ordered a coral usb to have a play with. However, one of my cameras is a 4k wide view camera. Multiple - now on latest 0. Search privately. May 8, 2016 · Frigate, Blue Iris, Luxriot and other VMS systems have upgradable facial recognition algorithms. Reply reply SeraphTM May 14, 2025 · Frigate 0. Feb 14, 2025 · Double Take is a powerful tool that enhances Frigate's capabilities by providing a unified UI and API for processing and training images specifically for facial recognition. Nov 1, 2024 · Describe the problem you are having. Overview Mar 3, 2019 · @blakeblackshear, this sounds like a great solution, thanks for sharing!However, before investing in a NUC to run it on, I’d like to share my usecase. 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, etc…) The issue I am running with When using Frigate+ models, Frigate will choose the snapshot of a person object that has the largest visible face. Oct 25, 2021 · 2. 8. Features • Uni I might be reading it wrong this is what I got it from. I enabled CPU-based. So my question is: should I use DeepStack or CompreFace? My setup is one 1080p camera, 6th gen i7, and GTX 960m. Oct 2, 2024 · My question is: what would be your recommendation be for a detector for face recognition, Frigate 0. The code base is also very different, the DT backend is in Node. I'd recommend you to use compreface instead of deepstack, as its not maintained. C’est Double Take qui va communiquer à HA le nom (ou pas) de la personne qu’il a détecté mais c’est CompreFace qui va se charger de la reconnaissance. DeepStack is probably the best one to start with if Frigate doesn't work out for you (I believe Frigate lets you train your own models too). But looking at the face detection that can be used on top off Frigate, it seems better if the image would be supplied by Frigate and passed on the the So, latest will use an uncropped large image, and the box for the space will be smaller, where as mqtt and snapshot can used cropped images where the face box will be larger as I have the minimum size for recognition 30000, also the distance from face to camera will impact resolution size and a smaller face is harder to recognize. I need to learn more about MQTT. I have frigate up and running extremely well, detections are mostly accurate. May 2, 2025 · The next version of frigate will do face recognition. So frigate already accepts custom models and there are several tflite ones for facial recognition. I have not run frigate on a pi4 so can’t say but my HPt630 was at its limits with 6 cameras. I have seen there are different programs to accomplish this task like CodeProject. This aids in secondary processing such as facial and license plate recognition for person and car objects. It supports automatically setting the sub labels in Frigate for person objects that are detected and recognized. I have a few Foscams cameras, which - upon detected motion - FTPs mpeg4 videos to a linux box (which could be the NUC in the future). It recognizes person and I setup an automation to notify and send pictures. You may encounter issues with a pi4 though. Frigate facial recognition: double-take I plan on using double take for facial recognition with Frigate NVR. jpg for facial recognition snapshot: 6 # process frigate images from frigate/+/person/snapshot topics mqtt: true # add a delay expressed in seconds between each detection loop We would like to show you a description here but the site won’t allow us. 4 Creating Automations Frigate doesn't do facial recognition. You may find it useful if you’re looking to detect specific people. 1 Installing the Home Assistant Add-on 4. It does however, use the names that are tagged in a users iCloud photo library to recognize the faces which greatly speeds up the training time. For the past few weeks, I've been using Frigate, Double Take, and CompreFace (using to Google Coral USB Edge TPU), achieving around 70-80% accuracy in facial recognition. If I buy a Coral AI Google Mini PCIe M. We’ll guide you through the process step-by-step, so you can get started right away, use it in your dashboard, and even get mobile notifications 🚀🏡. I also tried GPU. 2 Accelerator B/M (G650-04686-01) does it mean that the facial recognition will have more accurate results? So the title pretty much explains it all. HA and doubletake run on another ARM sbc along with photoprism for my photos which has CPU face recognition, so I used that to get training pics for family. 15 or the post 0. What you need: A cheap camera or doorbell, such as Blink or Nest Anything running Home Assistant, even an Raspberry Pi The Double Take add-on A Double Take detector plugin. This project uses Frigate, MQTT, FaceNet, and SQLite for real-time facial recognition. a doorbell camera) Describe the solution you'd like I'd like to have an API call that allows me to upload an image, get detection and recognition running on it, and receive the results. Also you have doubletake which is by yakowlenko, not maintained as well (it's dead). The video highlights the importance of image size for accurate face detection and the May 11, 2024 · Maintenant que tout est en place il faut préparer l’arrivée de Frigate. After some research, I've found that people commonly use either DeepStack or CompreFace for face recognition. 16 will support face recognition natively By providing an easy-to-use platform, Double Take simplifies the complexities of facial recognition software and allows for seamless integration with home automation platforms. 15 dev builds for a few weeks and my Frigate container (which is set to 16GB max RAM on a 32GB system) has never exceeded 4. Developer's Guide May 5, 2025 · I enabled small facial recognition. Jul 23, 2024 · recognize: # minimum face size to be recognized (pixels) min_face_size: 1000 # threshold for face recognition confidence recognition_threshold: 0. Oct 5, 2020 · The Face recognition system mentioned is a computer vision and image processing application designed to carry out two primary functions: identifying and verifying a person from an image or a video Nov 11, 2021 · Right now, I'm doing detection with Frigate on the high resolution stream of the video because it's that stream that's used to store snapshots and publish to the MQTT bridge and I want those snapshots to be high resolution for both face recognition and seeing high-res images in email/home assistant. so maybe either May 12, 2024 · Salutation, voici la suite de la Reconnaissance Faciale – partie 1, on passe à l’installation de Double Take et CompreFace. jpg for facial recognition latest: 6 # number of times double take will request a frigate snapshot. 0 has been released. You can then trigger automations based on recognized faces and such. We’ll guide you thr Frigate can be setup to not record continuously, just to record the events (and it is very customizable on what and when to record events). When a Frigate event is received the API begins to process the snapshot. I have Frigate installed on HAOS. Jun 20, 2023 · @Eelco_Anneveldt lol - you best shut it all down now then 🤣 Alternatively, if you don’t need images of your ex in DT, remove her and force update to all attached facial recognition systems? Its actually more simpler than that to swap versions. Jul 22, 2024 · Upload your photo and let our open-source face recognition system match the image against the Face Collection. Admittedly I have not played with Face recognition in frigate, but judging by the resources needed for object detection, faces are going to challenge your system. IMHO If you are able to cross-train a model with your faces this should already work with the current code. Nov 30, 2023 · Hello community, I want to add local facial recognition to a camera in HA without adding hardware or causing performance issues to my existing config. I have a CORARL TPU. Frigate - motion/object detection only, Coral accelerated. 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. 8 # time (in seconds) to wait before recognizing the same person again match_timeout: 60 # time (in seconds) to wait before re-identifying a person reidentification_interval: 60 # scale factor for the The best privacy online. See MQTT configuration for how to set these. It works with deepstack, compreface, facebox, and rekognition. there's no need to have specific api as soon as getfaces gives the answer. i can make test for you if you like. I have also heard about Double Take which acts as some sort of middleman between Frigate and the Facial Recognition software. I installed double take and now I struggle with the detector config. Frigate utilizes face detection and recognition to apply sub-labels to known faces. The config made some significant breaking changes. I have them both installed as add-ons in HAOS, but i'm not getting anything into my matches section in the double-take UI Mar 7, 2022 · Facial recognition & room presence using Double Take & Frigate. Jan 9, 2022 · Let's Discuss. Mar 26, 2022 · 卡MQTT安装，nas里面安装UP主的教程安装HA的时候网卡里面没有桥接的br0，所以都是直接映射物理网卡，mosquitto那边同样映射物理网卡，mosquitto装完我用端口扫描工具确认过NAS的1883端口处于开放状态证明已经映射成功，但是在HA里MQTT填NAS地址端口默认就提示：“无法连接到服务器。 Oct 22, 2024 · Say hello to intelligent security event notifications! Previously, camera notifications were automated based on object detection and detection zones. 16 We would like to show you a description here but the site won’t allow us. Oct 16, 2024 · What I would love to do is: have HomeAssistant take a picture whenever reolink detects a person (the camera does this and the integration can catch it, so there would be no need for motion detection in frigate). Jan 18, 2024 · Hi, I just started using Frigate as NVR, did all config yesterday, works good so far. 2 adds support for a sensor for each camera's last recognized face / license plate. Double Take is a proxy between Frigate and any of the facial detection projects listed above. 16. With Frigate+, you get a model fine tuned to your cameras for improved accuracy in your specific conditions. The lowest cpu footprint for Frigate and Deepstack is to use a Coral as well as a dedicated GPU. Frigate+ is not required to use Face Recognition. To get started, ensure that the MQTT integration is properly configured, as it is a prerequisite for the Frigate integration. Haven't seen any recent posts re Face Recognition and would appreciate any initial Aug 31, 2024 · In attempting to perform facial recognition on my face (label: "Morik"), CPAI gets the request from Frigate (I presume upon motion), recognizes "Morik", but subsequently Frigate only shows motion and person detections (due to Coral TPU); not specifically person and/or face detection ("Morik"). at the rate face detections come in, it almost becomes a fulltime job. Compreface does a better job out of the two 1 yr Dec 29, 2021 · This allows my family to access the footage much more easily than going through Frigate or Home Assistant and works very well, although the facial recognition leaves something to be desired. The process is designed to efficiently manage resources while ensuring accurate detection of faces in various scenarios. With that said you can run double-take along side frigate for facial recognition. Hey, CompreFace developer is here, if you have any questions, feel free to ask! Just some answers to frequent questions: Home Assistant doesn't have integration with CompreFace. 16 lpr and face I'm very interested trying the new features in 0. If you haven't seen the Frigate+ docs, check them out: https://docs. Everything can run inside HA supervised as add-ons. I got facial recognition working via double-take and codeproject. The video discusses the user's experience with Double Take, a unified API for facial recognition image processing. 168. If you do some digging on Linus Tech Tips videos, he has a video that kind of glances over the whys and hows. It will receive frames from Frigate's MQTT topics that were recognised to be a person and run DeepStack's facial recognition algorithm on the frame to find a face. I would like to have home assistant feed the picture(s) to deepstack or another face recognition softwar Oct 29, 2024 · Fantastic progress as ever! One point on Semantic Search - interested as to where the 16GB RAM requirement comes from for the CLIP model. All processing is performed locally on your own hardware, and your camera feeds never leave your home. Brave is on a mission to fix the web by giving users a safer, faster and more private browsing experience, while supporting content creators through a new attention-based rewards ecosystem. In my case, I chose compreface and it used barely any resources. It “seems” to work but in DT I cannot see any . surveillance with frigate plus. Thank you. At some point I’ll write another version of this that incorporates the Jun 8, 2022 · I read that there are several developments ongoing on optimizing the whole workflow, ranging from the developer of Frigate considering implementing face recognition directly into Frigate ([FR] Face recognition · Issue #260 · blakeblackshear/frigate · GitHub) to having a Home-Assistant+Double-Take+Coral Addon (GitHub - grinco/HASS-coral-rest Unified UI and API for processing and training images for facial recognition. io The Advanced Camera Card is a Home Assistant dashboard card with deep Frigate integration. Below is the developer's guide to set up and run the project. Apr 24, 2025 · Table of contents. XX username: mqtt password: !secret mqtt_password 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 The first 1000 people to use the link will get a free trial of Skillshare Premium Membership: https://skl. There's an addon called Double Take that seamlessly integrates mqtt, Frigate and face recognition engine. 2 Configuring MQTT, Frigate, and DeepStack 4. ***> Subject: Re: [blakeblackshear/frigate] Face detection / GPU (Discussion #16897) inference speed is 10ms are you sure? 10ms is the default value that is used before any inferences are This video 📹 is a must-watch for anyone who wants to learn the easiest way to get Local Object Detection in Home Assistant with Frigate. Dec 29, 2022 · I am using Frigate on my HA alongside Deepstack/Compreface and DoubleTake. I wanted also to add face detection to the equation so I installed deepstack and double-take in unraid. Jan 6, 2023 · mqtt: host: 192. Sep 10, 2024 · I am looking for a good way to recognise faces detected with frigate. I want to be able to run face recognition on an arbitrary image so that I can leverage the trained model to recognize images from non-Frigate cameras (e. 5GB memory use. I defined an object track for faces for each camera and also general. Jul 16, 2024 · Secondly, it supports Doubletake, a UI and API for processing and training images for facial recognition as well as other facial-recognition app such as Compreface or Facebox. Despite some challenges, Double Take presents a promising option for those seeking accurate and reliable facial recognition capabilities. generate_content metadata: {} data: prompt: |- Very briefly describe what you see in this image from my pet camera. Nov 14, 2023 · I wanted to share the steps I found to build out a facial recognition doorbell cam system without the normal steps of having hardware analyze raw video streams using Frigate. Introduction; What is Double Take; Features and Benefits of Double Take; Setting Up Double Take 4. Next step was I wanted to have face recognition so I can filter out messages with known faces for example. It'll obviously depend on your cameras' resolution though. Double Take Unified UI and API for processing and training images for facial recognition. Is this is a realistic requirement? How would you implement a solution? I run HA on a Home Assistant Yellow with a 8GB CM4 Lite and 500GB NVME SSD and have two cameras available to use, a Ring internal camera integrated via the Ring-MQTT add on The system provides REST API for face recognition, face verification, face detection, landmark detection, mask detection, head pose detection, age, and gender recognition. Double Take Double Take provides an unified UI and API for processing and training images for facial recognition. Enable face_recognition in config; Restart frigate; Go to new face icon; Either create person or upload image; Version. Frigate Configuration Unless there's plans to handle facial recognition in the future. Browse privately. I end up with a lot of detections if unknown because the face isn’t really visible. I've been running 0. This integration allows for automatic labeling of detected person objects in Frigate, streamlining the workflow for users who require facial recognition features. Ive asked for bulk training, but i know your against it @NickM-27. Nov 19, 2023 · If you're referring to MQTT then there is no dedicated face type. And this was without face recognition. Why? There’s a lot of great open source software to perform facial recognition, but each of them behave differently. This combination you have now it's doomed already. Version. They also suggest some alternatives and tips for training and testing the models. 0. Oct 16, 2022 · frigate: # ignore detected areas so small that face recognition would be difficult # quadrupling the min_area of the detector is a good start # does not apply to MQTT events min_area: 0 sender October 25, 2022, 7:44pm En resumen, Frigate y Double Take son herramientas útiles para el procesamiento de imágenes y el reconocimiento facial. Frigate uses a sophisticated video pipeline that starts with the camera feed and progressively applies transformations to it (e. Using the REST API, you’ll receive a response in JSON format. Now, with multimodal AI interpreting your camera feed, the possibilities for notification automation are limitless. 0 with Video Metadata attributes) which allows You to search for the same looking people / cars simply by clicking on them from Jan 24, 2023 · attempts: # number of times double take will request a frigate latest. Easy Facial Recognition Training: Unlike other solutions, Double Take allows users to train facial recognition images in seconds, eliminating the need for complex command line operations. A sensor is being generated, recognizing my face. You can create MQTT sensors or use these topics directly in automations. Frigate can be setup to not record continuously, just to record the events (and it is very customizable on what and when to record events). From: Nicolas Mowen ***@***. The only issues about your use case is that currently package detection is not supported (this is coming with the Frigate+ custom models), and also it doesn't support facial recognition. Frigate snapshots with Frigate+ model and face label enabled for person will include face. You are going to need a lot more power for that. In practice, there is only person recognition without facial recognition. 16 already has face recognition and ALPR implemented. I loaded several photos for several people through the UI. I mean I assume I can't just use it to train CompreFace face recognition service, without Frigate or Home Assistant, right? So what I suggest: made some tests with some pictures and it works perfectly. There are a few things to note here: CodeProject. 3 Training Faces 4. With everything set up correctly, six camera streams of 1080p might see about 5-8% CPU usage. Nov 22, 2023 · Hi, I want to do local object/face recognition with potentially three streams from IP cameras and doorbell. AI port might be different depending on where and how it is setup; Some characters are commonly mixed up like 0/O and 8/B, these variations should be added so this works more reliably. jpg images from Frigate's API. NVR with realtime local object detection for IP cameras - blakeblackshear/frigate Oct 26, 2024 · Is the face recognition going to be integrated into frigate totally? Or with some additional modules? Is it on the roadmap of 0. It is in Dev now, soon to go into beta. Still works great! EDIT 12-15-2020: I just noticed that Frigate has a 0. Is not directly supported/accelerated by Coral, but there are implementations using GPU accelerations. AI, and Frigate · blakeblackshear/frigate · Discussion #8165 · GitHub to implement face recognition. 16 Now. Maybe someone will be inspired and want to build this into Frigate directly since there's a larger audience base. Mar 30, 2024 · Face detection / recognition requires very specific cams mouting locations in front of entering people - face must be optically zoomed to bigger size. This enables far more intelligent and context-aware notifications. Thanks in advance May 5, 2025 · I enabled small facial recognition. XX. Jun 14, 2024 · Celem tego mini tutorialu jest przeanalizowanie konfiguracji kontenerów Frigate + Coral TPU, double-take i Compreface pod kątem wysokiej wiarygodności rozpoznawania twarzy. sh/everythingsmarthome05211We've taken a look at so Building on @NickM-27's point, it's worth noting that Frigate 0. ***>; Author ***@***. Apr 20, 2025 · Frigate employs a sophisticated video pipeline that begins with the camera feed and applies a series of transformations to enhance face detection capabilities. So far I used my old laptop with an RK3399 processor to try out Jan 13, 2023 · Could someone help me prevent Double Take from showing an unknown face if confidence is less than a certain level? One of my cameras is in the living room and when someone is on the couch the camera doesn’t always see a clear face. Basically a friendly web UI for you to feed data and train Deepstack for your face recognition or other custom models. ***> Cc: kadamik ***@***. This one is more May 27, 2023 · Double Take Unified UI and API for processing and training images for facial recognition. As we’ll be using gpu offloading we’ll install Frigate in a seperate docker instead of running it as the HAOS add-on. Le docker est en gros un moteur qui va utiliser des répertoires de notre Raspberry Pi, en fait si on a besoin de mettre à jour Frigate, il faudra supprimer notre docker et relancer l’installation de son image, nous ne perdrons pas les données car elles seront sur un répertoire du Raspberry Pi. Jul 24, 2024 · Face recognition is a whole new ball game. Has anyone here already had experience with this? Would an Nvidia Jetson Nano be sufficient for such an application scenario? Best regards Jun 13, 2024 · I cant seem to find any up-to-date documentation on integrating Codeproject AI with frigate and Double Take for Object Detection and Face Recognition. Oct 29, 2024 · If we imagine an average Frigate user has 5x 4MP cameras, and wants to use Semantic search and future AI features like facial recognition - is it fair to say they should not be buying any hardware that can't support a modern GPU? This is something I'm currently wondering about. There is API. Better function for house / SMB market is AcuPick (now AcuPick 2. Double-take and Frigate - Frigate passes the scanned faces to a locally installed copy of double-take and compares against the training pictures you've fed it. Works either after the object detection output by Frigate, or on its own. home-assistant. Matt and Frigate config works but the detector is a problem. I have installed frigate on my unraid server few weeks ago and it works flawlessy. You can then feed your image into a third party face recognition solution like Double Take, which then feeds back the detected name into Frigate as a sub label. Double-Take was developed alongside Frigate to watch for person detection. Dec 13, 2021 · And if so, is there anyway to extract an image from the main 4K stream to use for face detection? I guess I could pull a jpeg from the main 4k stream in Home Assistant when an event is triggered. ). Does the recognition of non-face objects depend on the backend engine, or is it configured by this tool? Yes, the other open source detectors that this tool interfaces with need to support object detection. jpg and latest. Frigate 0. This integration will allow you to use the Hailo-8L AI processor for object detection in real-time video streams. Compatibility: Double Take works seamlessly with popular tools such as Frigate, an NVR, and supports three different detectors: Deep Stack, Comproface, and frigate with recording 24/7 + object detection (events) in frigate config I have defined compreface (detectors), mqtt; double take in double take config I have defined home assistant, mqtt, frigate and also compreface (detectors) compreface with "recognition" service and face collection; I am now trying to understand, how exactly the workflow I'm setting up the holy trinity of smart home security consisting of HASS + Frigate + u/Jakowenko's Double Take. Feb 12, 2024 · I don’t think this would do face recognition, the frigate codeproject ai detector uses /v1/vision/detection but the api to do face recognition in code project ai is /v1/vision/face/recognize generally, using double take is the recommended way to integrate face recognition in to frigate Using a Frigate+ model with Frigate will detect face as a "sub label" of person. Mar 3, 2019 · @blakeblackshear, this sounds like a great solution, thanks for sharing!However, before investing in a NUC to run it on, I’d like to share my usecase. And it’s easier than ever! Installing Requires: LLM Vision Dec 13, 2020 · EDIT 01-27-2020: Frigate 0. So the next step for me is setting up facial recognition since Frigate doesn't natively do this. Oct 26, 2024 · 0. For cars, the snapshot with the largest visible license plate will be selected. This guide provides an overview to help users understand some of the key Frigate concepts. Double Take was created to abstract Reading time: 84 mins 🕑 Likes: 173 Frigate is an open-source video surveillance software that runs on a Raspberry Pi. frigate. Thinking a bit more about it, what I would like to do is use facial recognition to implement a kind of ‘friend or foe’, something like this: One of my reolink cameras spots a person and runs an automation to determine if that person is friend or foe. I chose Amazon Rekognition. I tried also Sycrypted with openvino but I did not like documentation, usage and integration in Home Assistant. This is what sets Frigate above the likes of Ring because you can literally train it to recognise your family or friends and perform automations such as a simple The integration of Frigate with Home Assistant enhances the capabilities of your smart home setup, particularly in the realm of face recognition. 16 will introduce native face recognition. This application is a supported and regularly updated fork of the original double-take project, with ongoing bug fixes and new feature additions. video/plus/ So frigate already accepts custom models and there are several tflite ones for facial recognition. Mar 25, 2024 · Frigate is the camera interface, double take is the face recognition interface and compreface or deepstack for facial detection. Frigate config file Feb 25, 2021 · "Unified UI and API for processing and training images for facial recognition. js (Face Detection, Face Landmarks, Face Liveness, Face Pose, Face Expression, Eye Closeness, Age, Gender and Face Recognition) react angular deep-neural-networks deep-learning face-recognition face-detection eye-detection age-estimation gender-detection face-landmark face Sep 25, 2024 · Hey there, smart home enthusiasts! In today’s video, we’re diving into the exciting world of face recognition using Frigate and Double Take in Home Assistant 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. It does object detection. 15 versions of frigate? Mar 12, 2025 · everything is great for me, but the face recognition management can be cumbersome. home-automation mqtt face-recognition home-assistant rekognition facebox room-presence deepstack frigate compreface Updated Feb 17, 2024 The Frigate integration seamlessly supports the use of multiple Frigate servers. Requirements for Multiple Instances In order for multiple Frigate instances to function correctly, the topic_prefix and client_id parameters must be set differently per server. Frigate with Double Take would be great but even the branched version is using face recogniser that look dead like face box (no more private usage), compreface (last update 10 month ago), AWS (to complicated, no Aug 5, 2024 · Double-Take is an amazing front-end that connects the MQTT server, Frigate and DeepStack together within one UI. Jul 22, 2024 · This article decribes setting up Frigate with Double Take and Compreface for facial recognition. I have the API document but I have no clue how to setup subscribing to a facial recognition event and getting a name back. Get access to custom models designed specifically for Frigate with Frigate+. For more advanced used cases, Frigate updates the frigate/events and frigate/tracked_object_update MQTT topics with recognized faces and license plates. Users share their experiences and opinions on using facial recognition with Frigate, a self-hosted NVR software. 16 repo i cant see any package. Face is an attribute for person and is shown in the /events topic. I’ve updated the instructions below to reflect the latest version since there were a ton of changes. May 5, 2025 · The Frigate HA Integration version 5. Aug 11, 2023 · I'm excited to introduce my fork double-take, a facial recognition application designed to integrate seamlessly with your Unraid system. For example face detection is being 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 some other computer vision implementations Nov 4, 2023 · Revolutionizing Face Recognition with This New Breakthrough! Table of Contents:. Ah! Makes sense now. otyzal wgh ffxazlgb pxzgx itkb tphaik tfwndqhy frhyjvnw yobbydx xdg