Having an old webcam hanging about and a pizero (in a customized matchbox case) available (a MagPi freebee) I decided to try my hand at Motion Detection. Looking at some of the stuff around, I was introduced to Pyimagesearch Search a site which is excellent for anything to do with OpenCV. A lot of the ideas for my system came from here. Also very worthy of praise is Derek Simkowiak work on tracking gerbils.
But to go back a bit in time, I came from a slightly different angle than the above. My idea was based on how I thought a robotic vision should work. Rather than processing every frame for faces in order to do facial recognition or object detection I thought the following sequence of events should take place. First the robot should be triggered by movement. Then within the movement area which is a lot smaller than the whole frame you should be able to identify a figure. Then from that you could identify a face in the top part of the figure. From the recognition of a face you should be able to identify a particular person. In my mind there was also a lot of inefficiency – why would you after identifying a person keep repeating the same procedure frame after frame. Once something or someone was recognized you should be able to follow it.
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