Published Paper Details:

In recent years, Coronaviruses, a large family of viruses, have grown extremely prevalent, communicable, and harmful to the whole human race. It transmits from person to person by exhaling infected breath, which deposits virus droplets on various surfaces, which are subsequently breathed by another person, who contracts the illness. As a result, we must safeguard ourselves and others around us from this predicament. We may take safeguards like keeping social distance, washing hands every two hours, using sanitizer, and, most importantly, wearing a mask. Wearing a mask in public has grown quite widespread in recent years all around the world. Due to its high population in a short space, India is the most afflicted and terrible situation. This study presents a technique for detecting whether or not a face mask is used in offices or any other workplace with a large number of individuals. For this, we employed a convolutional neural network. The model was trained on a real-world dataset and successfully tested using live video streaming. The model's accuracy is further tested using several hyperparameters and many persons at various distances and locations inside the picture. Face Mask Detection, Convolutional Neural Network, MobileNetV2, Corona Virus Precaution are some of the terms used in this paper.