Use of YOLO Architecture with Real Time Object Detection for the Improvement of Facial Recognition by Using Marker Controlled Watershed Approach in Deep Learning

It doesn't matter whether someone is wearing a mask, sunglasses, makeup, or a hat-a “disguised face recognition“ system or technique can still identify their face. Because a person's disguise may drastically change their facial characteristics and look, visual analysis and pattern recognition may have a tough time matching a photo with a recognised face. Presented an innovative method When detecting faces, use YOLO. Targeting the parts of the face that people often don't cover up is crucial when utilising disguised facial recognition. Separating the skin from the face is accomplished using a region-based marker-controlled watershed method. Classifying the concealed faces follows CNN's extraction of skin area information using a recognition algorithm based on deep learning.