Hey guys I've a problem I've been trying to solve for a while. Also I'm a college student so my knowledge isn't going to be the greatest so go easy on me if it's simple to solve😂. So I'm creating a real time licence plate detector using yolo lite, my own deep learning ocr and plan to add the model to fast api. So as an input to the rest api, the user will submit a IP camera link for openCV to get individual frames for preprocessing before yolo predictions. The problem I have is how to I handle multiple real time IP camera feeds at once?. Ive been researching multi threading but read that it can cause issues with async definitions in fast api. Any advice will be greatly appreciated and if more information is needed just shout!.

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