Face Mask and Social Distance Detection at Work Place

Coronavirus, the cause of COVID-19 epidemic, is causing a global health catastrophe. Wearing a facemask and maintaining physical distance are effective protection measures against COVID-19. World health organization suggests that, while in public places everyone should keep at least one meter away from each other. Wearing facemasks at work place significantly reduces the risk of virus transmission. This scenario forces the world community to seek alternative strategies of limiting the spread of this infectious illness. Social distance is the one of the viable strategies for combating this epidemic. A face mask is regarded as an important measure of public safety to slow down the transmission. In the current context, it is vital to foster this trait. With this motive of monitoring COVID-19 Safety guidelines at work place, we have developed a tool that identifies face masks and monitors social distancing using deep learning techniques. In the current scenario, there is a huge necessity to build these types of tools to monitor people at work place. The combination of Artificial Intelligence and deep learning has previously been used to produce promising outcomes in solving a variety of everyday problems. This tool analyses live video streams from cameras and determines whether people are keeping a safe distance from one another. Simultaneously, the face mask will be identified in the video frame. Security cameras at universities and other workplaces can be integrated with this tool to keep a careful eye on people's security measures and take appropriate action when required.