A Review on COVID-19 Face Mask Detection using CNN
Kavita R. Singh *
Computer Science and Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India.
Shailesh D. Kamble
Computer Science and Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India.
Samiksha M. Kalbande
Computer Science and Engineering, Yeshwantrao Chavan College of Engineering, Nagpur, India.
Punit Fulzele
Department of Pedodontics, Sharad Pawar Dental College; Secretary, Research and Development, Jawaharlal Nehru Medical College, Datta Meghe Institute of Medical Sciences, Sawangi, Wardha, India.
*Author to whom correspondence should be addressed.
Abstract
The World Health Organization claims (WHO),Corona Viruses the COVID-19 pandemic is causing a nationwide crisis, wearing a mask on a face in public places is an effective protection measure. The COVID-19 pandemic forced governments all over the world to implement quarantine measures in order to deter virus spread. Reports suggest that the risk of transmission is clearly minimized by wearing face masks when at work. An effective and economic approach to the use of AI in a manufacturing setting to build a secure environment. Using a face mask detection dataset, we will use Open CV to perform real-time face detection from a live stream from our webcam. Using Keras, Python, Tensorflow and Open CV, and, it will build a COVID-19 face mask detector with computer vision. Using computer vision and CNN, I aim to decide whether or not the person in the image or video streaming is wear a mask.
Keywords: Deep learning, COVID-19 dataset, open Cv, tensorflow, CNN