I hope this is the right forum to ask.
I had a client approach me with a demand for a vision system for their assembly line.
The problem they are facing is that the operator sometimes forgets to put all three parts of the product together. They want a vision system that can spot if any of three main components are missing (only missing nothing else).
I have the knowledge to build a covnet in keras but I think that would be a way to big hammer for this nail and I have to go to the client any produce images myself (ergo I can sit there for a day or two and take photos the products). So I might end up with a data set of maybe 200 images. I will try and make some artificially bad images, taking of the different components and photoing that. I don't think I'm allowed to show what the product looks like but I made a sketch. What algorithm can I read up on that would solve this problem in a good and time efficient manner? Demands on the camera and pc for the any suggested algo would also be very much appreciated (resolution etc).