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Biometric Identification Using Face Mask DL and Open CV: Security Approach Post COVID-19

Biometric Identification Using Face Mask DL and Open CV: Security Approach Post COVID-19

Rohit Rastogi, Yati Varshney, Sonali Jaiswal, Markandey Sharma, Mayank Gupta
Copyright: © 2024 |Pages: 25
ISBN13: 9798369326398|EISBN13: 9798369326404
DOI: 10.4018/979-8-3693-2639-8.ch016
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MLA

Rastogi, Rohit, et al. "Biometric Identification Using Face Mask DL and Open CV: Security Approach Post COVID-19." Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security, edited by Ahdi Hassan, et al., IGI Global, 2024, pp. 282-306. https://doi.org/10.4018/979-8-3693-2639-8.ch016

APA

Rastogi, R., Varshney, Y., Jaiswal, S., Sharma, M., & Gupta, M. (2024). Biometric Identification Using Face Mask DL and Open CV: Security Approach Post COVID-19. In A. Hassan, V. Prasad, P. Bhattacharya, P. Dutta, & R. Damaševičius (Eds.), Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security (pp. 282-306). IGI Global. https://doi.org/10.4018/979-8-3693-2639-8.ch016

Chicago

Rastogi, Rohit, et al. "Biometric Identification Using Face Mask DL and Open CV: Security Approach Post COVID-19." In Pioneering Smart Healthcare 5.0 with IoT, Federated Learning, and Cloud Security, edited by Ahdi Hassan, et al., 282-306. Hershey, PA: IGI Global, 2024. https://doi.org/10.4018/979-8-3693-2639-8.ch016

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Abstract

COVID-19 is a disease which spreads with human-to-human interaction. In this situation, humans need to be distanced from each other. To prevent the pandemic, people need to wear masks. Wearing a mask is mandatory for all people. That's why it is important to detect whether a person is wearing it or not. This chapter aims to provide a biometric approach for COVID 19 prevention. In this research the machine is able to check whether a person is wearing a mask or not from an image or a live stream. This research is also a smart approach for smart cities. In this research, the authors generate the artificial dataset by adding the mask on the faces of the persons in the images. And that can be done by the automation of the unmasked people's images dataset. The dataset is trained using tensor flow/keras for providing the classifier which classifies the image. This research is valid on image and on live streams.

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