home assistant face recognition

the facebox image processing platform allows you to detect and recognize faces in a camera image using facebox. facebox runs in a docker container and it is recommended that you run this container on a x86 machine with a minimum of 2 gb ram (an arm version is not available).

on your machine with docker, run the facebox container with: you can run facebox with a username and password by adding -e “mb_basicauth_user=my_username” -e “mb_basicauth_pass=my_password” but bear in mind that the integration does not encrypt these credentials and this approach does not guarantee security on an unsecured network. if your host machine does not support avx and you experience issues running the machinebox/facebox image there is an alternative image without avx support available at machinebox/facebox_noavx(hint: this image is currently not supported by machinebox and should only be used if necessary) use the image_processing.detect_face events to trigger automations, and breakout the trigger.event.data using a template.

this makes it much easier for anyone to use than ever before and that was one of the challenges with deepstack. it is also worth mentioning that double take works with frigate as the nvr which handles the recording of footage, snapshots and its handling the object detection – looking for a person in the camera image when a person is detected. this needs to be the the same mqtt broker that your frigate server is connected too as this is how it communicates with frigate to start the facial recognition: next enter the url of your frigate server and if you are running frigate on home assistant then this will just be the same ip or hostname as your home assistant server, with port 5000 at the end.

and that is really it for the double take setup in terms of config, if you did everything correctly you can now walk in front of your camera to trigger frigate to your first match. first, before we can create an automation, lets take a look at some of the sensors that are now exposed to home assistant that we can actually use in our automation, if we look inside of dev tools we can now see we have a few sensors listed for double take, firstly we have a sensor for our back garden camera itself which contains the last matches for that camera, and we also have sensors for the people we have matched through facial recognition and an unknown sensor for when someone can’t be matched. this time when i then walk in front of the camera, you will then get a simple notification that tells you someone was detected in the camera and whether or not the person was recognised. in the recent april update of home assistant [.uk/everything-new-in-home-assistant-2022-4/], a bunch of new input helpers were added that allow you to work with and transform your data in even more ways than were possible before – let’s take a look at each one!

the facebox image processing platform allows you to detect and recognize faces in a camera image using facebox. the state of the entity is the number of faces enter double take: a unified interface to combine the powers of both object detection and face recognition in one easy to access place, with the i’m trying to find out information on facial recognition that works with has, specifically using a rtsp camera to unlock a smart lock when, home assistant face recognition opencv, home assistant face recognition opencv, home assistant face recognition frigate, home assistant object detection, frigate home assistant.

with the facebox integration you can give home assistant the power of facial recognition from any camera in your setup. when home assistant perform facial recognition on a doorbell camera and announce who is home over text-to-speech. face recognition can be a nice way of adding presence detection to your smart home. a simple camera at your front door could detect who is, deepstack face recognition, deepstack face recognition home assistant, frigate face recognition, blue iris deepstack face recognition, compreface home assistant, double take home assistant, home assistant person detection, smart home facial recognition, facebox home assistant, home assistant rtsp motion detection.

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