PROJECT - AI BASED ATTENDANCE SYSTEM

Encoding a picture using the HOG algorithm for creating a simplified version of the image. Using this simplified image, we find the part of the image that most looks like a generic HOG encoding of a face. Then, we figure out the pose of the face by finding the main landmarks of the face. Once we find those landmarks, use them to warp the image so that the eyes and mouth are centered. The next step involves passing the centered face image through a neural network that makes a total of 128 measurements of our facial features. Looking at all the faces we’ve measured in the past, see which person has the closest measurements to our face’s measurements. That’s our match!