Facial recognition has been one of the most instigating technological advancements of the recent times. With its limitless and myriad scope of applications, the facial recognition technology is so flexible that it can be customized to fit its application requirements with ease. With the world, as we know it, acquiring a different definition in these uncertain times, owing to the COVID-19 pandemic, this technology can be put to use to serve a very significant purpose—facial mask detection. With increasing emphasis on the usage of facial masks as the only known means to offer the needed protection, we decided to put to use the facial detection technology to detect facial masks on a person’s face. In this project, we used the Viola–Jones detection framework with digital image processing to recognize a facial mask on a person’s face and the appropriate or inappropriate positioning of it. This project will help us identify whether a person has worn a mask or not and if yes whether it was positioned properly or improperly and an alert regarding the same is sent. This would enable appropriate screening of individuals, providing a secure work environment and/or public interactions. © 2021, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
Face Mask Detection Using Feature Extraction