The entire globe is going through a severe health crisis due to the rapid spread of Covid-19 Disease, which in turn creating a deep impact on the human lives and their day-to-day livelihood. Only hope of preventing it from further spread of disease is by following all the precautionary measures provided by the WHO. One of the most important safety measures is to wear face mask and maintain social distancing. Hence, we have proposed to develop a system can monitor whether a person is wearing a facemask correctly/not in real time. This will help to reduce the rapid spread of the disease in public places and various other organizations. We have proposed a solution that uses Artificial Intelligence and has a capability to detect the violation of wearing a face mask in real-time using Image Recognition and Video Techniques. The main intention of the proposed work is to provide the front-end software (Web or mobile application) for administrators to monitor the violation. The system will capture the violated instance and store the data. Our system will also include a User registration form where the users have to register their information along with their face images. This will be an input to the face recognition model, which will train and alert the user whenever violation occurs. © 2021 IEEE.
Covid-19 Safety Protocol Monitoring System using AI