Didn't really know how to categorize, bit of a question/discussion/curiosity, so I put it here.🤷

Just today I read an article that stated about the Netherlands, where the police will use an "AI surveillance camera" (yey buzzwords incoming 🙄, but it would actually make sense(?)🤷) to detect and punish drivers, holding a smartphone. Pictures without smartphone shall be deleted. How would this system work without having non-smartphone pictures? It needs to build a classifier, doesn't it? (To be clear, the system only reports those images to an officer for further analysis and actions.)

I mean let's consider that the images are somehow pre-processed, then some convolution(s) for feature extraction, then maybe some more intermediate steps and at the end apply the results on a classifier. How would that classifier work? Would a probability between 0 and 1 suffice? And if so, report those from 0,5 and above? Or would there be better techniques?

Could any dev here explain how do u apply SVM to HOG features? I know what HOG features are but cannot for the life of me figure out how the hell to use them in an SVM -_-

Anyone familiar with ml here? Needed some urgent help