Face Mask Detection System with Percentage for Analyzing Discretion Factor

Abstract

The novel Coronavims has brought a new normal life in which the social distance and weanng of face masks plays a vital role in controlling the spread of the virus. But most of the people are not wearing face masks in public places which increases the spread of viruses. This may result in a senous problem of increased spreading. Hence to avoid such situations we have to scrutinize and make people aware of wearing face masks. Humans cannot be involved in this process, due to the chance of gettmg affected by corona. Hence here comes the need for artificial intelligence (Al), which is the main theme of our project. Our project involves the identification of persons weanng face masks and not wearing face masks in public places by means of image processing and Al techniques and sending aleft messages to authority persons. The object detection algorithms are used for identification of persons with and without wearing face masks which also gives the count of persons weanng mask and not wearing face mask and Internet of Things (IOT) is utilized for sending alert messages. The alelt messages are sent to the authority persons through mobile notification and Email. Based on the count of persons weming and not wearing face masks the status is obtained. Dependmg upon the status waming is done by means of using buzzer and LED's.