Abstract
Covid-19 is an airborne infectious disease caused by corona virus and was first detected in Wuhan, China. Covid-19 has spread throughout the world and has infected more than eight million people worldwide. According to the scientists globally, wearing a fabric mask and maintaining social distancing would prevent the spread of the virus. It is practically not possible to detect the violations done in public places, so with the help of face mask detection system, it becomes simpler to check if all the guidelines are followed. In most of the institutions, companies, hospitals, shopping malls, the face mask detection system at entry and exit points would be of great help in this pandemic and not just for Covid-19, this system can be used for any air-borne disease to reduce the spread of it. Our project uses OpenCV, Keras, TensorFlow with deep learning and computer vision concepts to detect face mask by giving still images as input and by real time video streaming.
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