Nothing has to be pushed to the server. Computer vision like edge recognition is done solely on the client. Client dont have to fast and can be very slow. What

Nothing has to be pushed to the server. Computer vision like edge recognition is done solely on the client. Client dont have to fast and can be very slow. What takes the most the computer power is the compression of the video stream. This is also done on the client side. for that you also do not need convolutional networks or object recognition or ML, nor pretrained models. Its pure "Do pixel x change within time t, set pixel y = 1. If no change in x, then y = y-z, with z as a factor. If y < threshold, apply blur"