Application of AI And Computer Vision To Face Mask And Social Distance Detection in CCTV Video Streams

According to the figures obtained by the Department of Health (DOH), COVID-19, the worldwide pandemic, has had an enormous global impact, infecting a growing population and causing over three million fatalities.Because of the global epidemic, governments all over the world were obliged to institute lockdowns in order to prevent virus transmission. The use of face masks and safe social distance, according to sources, are two of the best safety precautions to be observed by the public to avoid the transmission of the virus. Modern deep neural network models are combined with geometrical approaches to develop a strong model that incorporates three components of the system’s detection, monitoring, and testing. As a consequence, the technique presented saves time while reducing corona virus transmission.It might be used efficiently in the current circumstances, where lockdown is being loosened in order to inspect people at public meetings, retail malls, and other locations. Automated inspection saves time and money by reducing the number of people needed to examine the public, and it can be used everywhere to ensure safety.