A New Technology to detection face by using two Algorithms model

Abstract

In the time of Corona and others, many recent studies dealt with revealing the face when wearing a mask, but they lacked the possibility of identifying the face and detecting it with high accuracy for many reasons, including not wearing the mask correctly, the roundness of the face, high lighting, and videos.which negatively affected the accuracy of face identification and identification in many cases.They presented in this study a method that  two algorithms, CNN and Yolo V5, in a way that can deal with face detection problems using data bases that are classified into three classes: with mask, without mask, and incorrectly mask. From photo and videos,In the results CNN (Accuracy 0.94 , precision 0.92 , and Recall 0.90), and the results Yolo v5 (Accuracy 0.93 , precision 0.95 , and Recall 0.90).