COVID-19 prevention: Real-Time implementation of AI-based face mask detection
Abstract
The year 2020 has shown humanity an incredible variety of occasions among them COVID19 pandemic is the most dangerous change. It surprised the world since the beginning of the year and also affected the happiness and life of the masses. COVID19 has called for serious measures to be taken to prevent the spread of the disease. Cleanliness is an essential instruction for medication use in the emergency room, individuals give their best and public welfare; Face coverings are one of the personal defence equipment. People cover their faces when they leave their house, also authorities strictly ensure that individuals wear a face mask when they are gathering in an open point. To verify that individuals are complying with these necessity welfare rules, a procedure must be created. A face coverage indicator frame can be made to consider this. Face Covering identification means knowing whether an individual has a mask or not. The first step to detect the presence of a mask on the face is facial recognition, which makes the system is divided into two parts: face recognition and mask detection on those faces. Face recognition is one of the uses of item recognition and can be used in many areas such as security, biometrics, law enforcement and many more. Many identity frameworks are created around the world and running. By all means, this science needs to be improved; superior, more precise identifiers, because the world can't handle the cost of expanding corona cases further.
How to Cite This Article
Sourav Dutta, Subrojit Roy, Puneet Kumar (2022). COVID-19 prevention: Real-Time implementation of AI-based face mask detection . International Journal of Multidisciplinary Research and Growth Evaluation (IJMRGE), 3(2), 449-453.