Abstract: In the recent world, as we all know the covid-19 this pandemic has arisen all over the world. This pandemic has affected our day-to-day life-disrupting our movements and also world trade. This pandemic has not only affected our movements but also results in the death of many people all around the world. And so to soothe the condition main contri-bution which is asked nowadays from all the citizens is to follow all the safety norms that are to wear facemask all the time immediately whenever they are stepping out of their home then to use hand sanitizer and maintain social distancing whenever they come in contact to any other person. This paper proposes one of the systems to ensure that at least all peo-ple who are coming under Webcam/phone’s camera or any video stream wears masks and that too in a proper way. In this system, we are using a basic Convolutional Neural Network(CNN) model using TensorFlow with Keras library and OpenCV to detect if people are wearing a facemask to protect themselves. And we created a dataset of various images to train a neural network. This method attains training accuracy and validation accuracy which is nearly up to 99.87% and 94.41% respectively. This system is also designed in such a way that if it found out a person with no mask or not wearing the mask in a proper way then alarm buzz outs to alter. In this paper, we propose a system that restricts the growth of coronavirus by finding out those people who are not wearing any facemask by monitoring with cameras.
|
DOI:
10.17148/IJARCCE.2021.106106
