Intelligent Mask Detection Using Deep Learning Techniques

Owing to the corona pandemic, the government has insisted on wearing a safety mask and maintaining 6 feet distance to get rid of CoronaVirus. The detection of people with or without masks is a challenge due to the impact of Covid pandemic. There are some models / systems which really reduce the manp...

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Bibliographic Details
Published in:Journal of physics. Conference series 2021-05, Vol.1916 (1), p.12072
Main Authors: Anantha Prabha, P, Karthikeyan, G, Kuttralanathan, K, Manoj Venkatesun, M
Format: Article
Language:English
Subjects:
coronavirus
Deep learning
face mask detection and recognition
Face recognition
Image processing
Image segmentation
Machine learning
Manpower
Masks
Object recognition
pandemic
Pandemics
Physics
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Summary:Owing to the corona pandemic, the government has insisted on wearing a safety mask and maintaining 6 feet distance to get rid of CoronaVirus. The detection of people with or without masks is a challenge due to the impact of Covid pandemic. There are some models / systems which really reduce the manpower to notify the people. The existing system runs on the model: Yolov3, V G G, for face detection and MobileNetv2 for face recognition, object detection, and semantic segmentation inorder to detect the people with and without masks. The proposed system holds an approach of detecting human’s faces and classifying them into people with and without masks which has been done using image processing and deep learning and our project runs u.3nder a model called Faster RCNN. Moreover, Faster R-CNN is more accurate while other models are faster. Being effective is not important but being efficient is way more important.
ISSN:1742-6588
1742-6596
DOI:10.1088/1742-6596/1916/1/012072