i would be interested in implementing face recognition with Dlib or similar in my home automation system.
it looks pretty easy to do but reading here and there it seems an RPI3 won’t be able to cope with the computational load.
can someone of you guys confirm this?
something i would like to do, for example, is trigger automation based on face identification which means, for my use case, i need a response time of about 2-3 seconds.
I would like to use it for face recognition of my doorbell camera to make such that:
if you ring the doorbell
if your are flagged as “home” by an ibeacon
the above 2 for extra safety
if the SW recognize your face
the door opens.
So I would like face recognition to happen within 5s say: input should be a single image and not a camera stream as my doorbell save a static image of the “last ring”.
If you want to do just one face recognition. You can do it with Raspberry Pi 3 Model B+, why I prefer this model because it has wifi and bluetooth built in. You can easily achieve max 2 frames per second with deep network which is more accurate.
Can you please tell me what type if door bell you have? Does it has IP address? How you can get image from door bell? Also if u have written any code can you share it on github so I can suggest you possible tuning and optimization for Raspberry Pi
this has an IP address and is compatible with HA.
it streams 3 “cameras”:
live
last ring
last motion
also it triggers an event to HA once you ring the bell.
So you could set up a script/automation which is triggered by doorbell ring and run face recognition on “last ring” stream which is, actually, a static image.
Except these considerations I had no time to set up anything so I can’t help further