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Attendance Monitoring System Using Facial and Geo-Location Verification

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Intelligent Human Computer Interaction (IHCI 2023)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 14531))

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Abstract

Face verification is the most distinctive method used in the most effective image processing software, and it is essential in the technical world. Face verification is a method that can be used instead of face recognition. Face recognition is the act of recognising a person from a given image, whereas face verification is the process of confirming that a given face belongs to a particular person. As a result, after the face is validated, the attendance is automatically recorded, and an update is sent. In addition, an anti-spoofing measure of liveness detection is considered to ensure that the system is foolproof. Eye-blink has been used to detect liveness. Additionally, the geographical coordinates of the user are also verified before the attendance is marked. The creation of this system aims to digitalize the outdated method of collecting attendance by calling names and keeping pen-and-paper records. Because current methods of taking attendance are cumbersome and time-consuming.

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Correspondence to Garima Singh .

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Singh, G., kumari, M., Tripathi, V., Diwakar, M. (2024). Attendance Monitoring System Using Facial and Geo-Location Verification. In: Choi, B.J., Singh, D., Tiwary, U.S., Chung, WY. (eds) Intelligent Human Computer Interaction. IHCI 2023. Lecture Notes in Computer Science, vol 14531. Springer, Cham. https://doi.org/10.1007/978-3-031-53827-8_36

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  • DOI: https://doi.org/10.1007/978-3-031-53827-8_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-53826-1

  • Online ISBN: 978-3-031-53827-8

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