I am currently working on a project where we have to build a model which can detect and recognize faces in a live-stream. I am using Python, OpenCV, and Haar Cascade Classifiers(HCC) for this project.
i have stumbled upon following questions while doing this:
How many different number of people(or classes) can OpenCV/HCC accurately detect if memory isn't a problem?
If I want to detect up to 10,000(or even a bigger number) different people, what are the difficulties I will come across using this technology which is fairly simple compared to other Deep Learning Models like ResNet, etc.?
If I cannot store images on my local machine when I scale up the number of ppl to be detected, what might be the best solution?
Add additional inputs if you have any. Would be of great help. Thank you.