Test Facial Recognition Methods

[AkshayVemulapalli]

To create the best facial recognition model we can in our final product, we need to test different methods of facial recognition to see which performs the best for our specific situation.

Some models we can test out include Support Vector Machines, K-Nearest Neighbors Models, and Convolutional Neural Networks.

[VJCS185]

When we evaluate the performance of the different methods, we should make sure that the facial recognition is accurate from different picture angles of the faces because the physical system won't be set up the exact same way in all installations and some models might be better at recognizing different angles than others. Some models also might classify the faces quicker but less accurately so we need to have a balance between speed for time-saving and accuracy to minimize time waste through attendance corrections.