Published Paper Details:

COVID-19 pandemic has rapidly increased health crisis globally and affected our day-to-day lifestyle. So, by wearing a facemask, the foremost effective preventive care must be taken against COVID-19. Identifying individuals whether they are wearing facemask and to notify the victim in public and crowded areas may be a difficult task. The goal of this study is to develop a simplified method of object detection and face mask detection techniques to automate the process of identifying individuals who are not wearing masks and generating the E-challans by directly requesting vehicle information from the RTO after extracting the number plate data (number plate detection), and delivering the E-challan via Email and SMS. This paper includes some basic Machine Learning packages like TensorFlow, OpenCV together with the Convolutional Neural network model. Here, the well-known YOLO method is used to find the license plate. One of the quickest real-time object identification algorithms is YOLO, which uses a neural network to predict bounding boxes and their probabilities throughout the entire image.