Face Mask Recognition Using Open CV
ANURAG, Mansi Gupta, Akshay Kumawat
COVID-19, Tensorflow, OpenCV, Face Mask, Image Processing, Computer Vision.
Corona Virus is a big threat to mankind. In the last few years, COVID-19 pandemic has remarkably affected our day-to-day life affecting the world trade and movements. It is causing a worldwide emergency in healthcare. This virus transmits when people breathe in air contaminated by droplets and small airborne particles containing the virus. The risk of breathing these in is highest when people are in proximity, but they can be inhaled over longer distances, particularly indoors. Transmission can also occur if splashed or sprayed with contaminated fluids in the eyes, nose, or mouth, and, rarely, via contaminated surfaces. Wearing a face mask has become mandatory as World Health Organization (WHO) mentioned it limits the spread of virus. This paper presents a simplified approach to achieve this purpose using some basic deep Learning packages like TensorFlow, Keras, OpenCV. The proposed methodology detects the face from the image/video stream correctly and then identifies if it has a mask on it or not. As a surveillance task performer, it can also detect a face along with a mask in motion.
Article Details
Unique Paper ID: 155774

Publication Volume & Issue: Volume 9, Issue 1

Page(s): 1758 - 1761
Article Preview & Download

Share This Article

Join our RMS

Conference Alert

NCSEM 2024

National Conference on Sustainable Engineering and Management - 2024

Last Date: 15th March 2024

Call For Paper

Volume 11 Issue 1

Last Date for paper submitting for Latest Issue is 25 June 2024

About Us

IJIRT.org enables door in research by providing high quality research articles in open access market.

Send us any query related to your research on editor@ijirt.org

Social Media

Google Verified Reviews