• BAGGU MANASA

Face recognition technology may be a biometric technology that is predicated on the identification of face expression of a person. Folks collect the face images, and therefore the recognition instrumentality mechanically processes the images. The paper describes the event stages and the connected technologies of face recognition and social distancing. We have a tendency to introduce the analysis of face recognition for real conditions, and that we introduce the overall analysis standards and the general databases of face recognition. We have a tendency to provide an innovative read of face recognition and therefore the projected technique detects the face from the image properly then identifies if it's a mask thereon or not. As a police investigation task performer, it can even find a face in conjunction with a mask in motion. The tactic attains accuracy up to 95.77% and 94.58% severally on 2 completely different datasets. We have a tendency to explore optimized values of parameters by exploiting the successive Convolutional Neural Network model to detect the presence of masks properly while not inflicting over-fitting. The paper presents a technique for social distancing detection using deep learning to judge the gap between folks to mitigate the impact of this coronavirus pandemic. The detection tool was developed to alert people to take care of a secure distance with every other by evaluating a video feed. The video frame from the camera was used as input, and the ASCII text file object detection pre-trained model supported the YOLO v3 algorithmic program was used for pedestrian detection. Later, the video frame was remodeled into a top-down read for distance measuring from the second plane. The gap between people will be calculable and any noncompliant combination of individuals within the show will be indicated with a red frame and red line. The projected technique was valid on a pre-recorded video of pedestrians walking on the street. The result shows that the proposed method is in a position to determine the social distancing measures between multiple folks within the video and if the mask isn't detected in the video frame, with the face recognition and trained model we have a tendency to determine the person's name. The developed technique will be additional developed as a detection tool in real time application

Convolutional Neural Networks, RNN, YOLO v3, Face recognition, Face Mask Detection

"FACE RECOGNITION TECHNOLOGY AND FACE MASK DETECTION USING DEEP LEARNING MODEL ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 11, page no.b532-b542, November-2021, Available :http://www.jetir.org/papers/JETIR2111167.pdf

"FACE RECOGNITION TECHNOLOGY AND FACE MASK DETECTION USING DEEP LEARNING MODEL ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 11, page no. ppb532-b542, November-2021, Available at : http://www.jetir.org/papers/JETIR2111167.pdf