Abstract
COVID-19 pandemic has created chaos all over the world thereby reducing productivity and affecting day to day life of people. Wearing a face mask has become the need of the hour. In the future, it is expected that masks will become an integral part of human lifestyle and people have to wear masks to avail certain services. Therefore, the detection of face mask has become a global problem to avoid the spread of this virus. This paper presents a deep learning approach to detect faces with masks from an image or from a video stream, which can be used in surveillance tasks. The method attains accuracy up to 99% on Simulated Face Mask Dataset. We have manually tested this model on webcam, and it detects the presence of masks correctly without overfitting.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Qin, B., Li, D.: Identifying facemask-wearing condition using image superresolution with classification network to prevent covid-19 (2020)
Ejaz, M.S., Islam, M.R., Sifatullah, M., Sarker, A.: Implementation of principal component analysis on masked and non-masked face recognition. In: 2019 1st International Conference on Advances in Science, Engineering and Robotics Technology (ICASERT). pp. 1–5 (2019)
Li, C., Wang, R., Li, J., Fei, L.: Face detection based on yolov3. In: Recent Trends in Intelligent Computing, Communication and Devices, pp. 277–284. Springer (2020)
Dataset, Cabani, A., Hammoudi, K., Benhabiles, H., Melkemi, M.: MaskedFace-Net - A dataset of correctly/incorrectly masked face images in the context of COVID-19. Smart Health. ISSN 2352–6483, Elsevier (2020)
Viola, P., Jones, M.: Rapid object detection using a boosted cascade of simple features. In: Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001, pp. I-I (2001). https://doi.org/10.1109/CVPR.2001.990517
Jagadeeswari, C., Uday Theja, M.: Performance evaluation of intelligent face mask detection system with various deep learning classifiers. Int. J. Adv. Sci. Technol. 29(11s), 3074–3082 (2020)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Mohanty, S., Lakshmi, M.A. (2022). Masked Face Detection Using Transfer Learning. In: Bhateja, V., Tang, J., Satapathy, S.C., Peer, P., Das, R. (eds) Evolution in Computational Intelligence. Smart Innovation, Systems and Technologies, vol 267. Springer, Singapore. https://doi.org/10.1007/978-981-16-6616-2_52
Download citation
DOI: https://doi.org/10.1007/978-981-16-6616-2_52
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-6615-5
Online ISBN: 978-981-16-6616-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)