Arora, Kawal and Bist, Ankur Singh and Prakash, Roshan and Chaurasia, Saksham (2020) A Novel Approach for Facial Attendance:AttendXNet. APTISI Transactions on Technopreneurship (ATT), 2 (2). pp. 1-8. ISSN 2656-8888
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Abstract
Recent advancements in the area of facial recognition and verification introduced the possibility of facial attendance for various use cases. In this paper we present a system named as AttendXNet. Our method uses the ResNet and Multi-layer feed forward network to achieve the state of art results. Extensive analysis of various deep learning and machine learning techniques is described. Face anti-spoofing is a major challenge in facial attendance. Extended-MobileNet is used to resolve the same issue. We also introduced the end to end pipeline to implement an attendance system for various use cases.
Item Type: | Article |
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Subjects: | General > Feature Extraction General > Support Vector Machine |
Depositing User: | Admin Digital Blue Ocean |
Date Deposited: | 19 Jul 2023 07:29 |
Last Modified: | 19 Jul 2023 07:29 |
URI: | http://dbo.raharja.ac.id/id/eprint/2199 |
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