Mask-Up: A Face Mask Alert App Using Machine Learning

Abstract

The COVID-19 pandemic has been a challenge for the past two years, and continues to be so, with the virus showing more mutations with time. The use of face masks in public spaces has been proven to be a precautionary measure to minimize the spread of the Coronavirus, which is the causative agent of the disease. However, enforcing the proper wearing of masks, particularly in environments like schools is a daunting task. This study develops a live video camera application that detects proper wearing of face masks by students in schools using a machine learning algorithm. On detecting an improper mask-wearing face, or a face with no mask, the system displays a red message “No Mask”, while a face with a mask properly worn is flagged with a green message “Mask”. To enforce the proper wearing of masks, on detecting persons improperly wearing masks, the system automatically sends an alert WhatsApp message to the classroom manager (teacher) to take appropriate action. This application would help ease the workload of teachers who have the task of ensuring a quality teaching and learning environment, at the same time safeguarding the health of learners in this COVID-19 era.