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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Each Friday is PiDay here at Adafruit! Be sure to check out our posts, tutorials and new Raspberry Pi related products. Adafruit has the largest and best selection of Raspberry Pi accessories and all the code & tutorials to get you up and running in no time!