Facial detection is now able to run larger training sets on AWS and has been fused with the MVP script we have running.
We have implemented Cosine distance for stranger detection. We are also planning on rejecting any side shots of people in training, testing, and live testing. We believe these are unnecessarily difficult tasks for us to hurdle as PCA is not well suited to it. There should be more than enough frontal shots for us to do participation and attendance. The tasks is now just to use facial landmarks (ratio of face width to inter-eye width) from dlib to detect a side shot.