Mask Detection in Security Cameras Using Deep Learning
Amodh Kumar, Susheela Hooda · 2023
Mask detection in security camera surveillance is an important operation for icing public safety and security. The face masks worn by culprits for concealment during criminal acts pose major challenges for traditional surveillance systems. This paper presents a mask detection system that uses deep learning and computer vision ways to analyse live videotape feeds from security cameras for recognizing persons engaged in theft or criminal activity. The proposed system uses a pre-trained convolutional neural network to detect faces in the videotape feed and applies a binary classification model to determine whether the person is wearing a mask or not. The system can detect multiple faces in the videotape feed simultaneously and give real- time cautions when a person is wearing a mask. The proposed system provides a practical and effective result for security personnel to cover the mask-wearing people in the confined areas, thereby helping to reduce the theft rate and enhance public safety.