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The capacity recognize faces has been a key advance in the safety of business, especially since CCTV (Closed-Circuit Television) cameras are increasingly used to monitor protection. Even with significant advancements in computer vision, manual attendance systems still pose a number of challenges because of the need to protect sensitive data and their imprecision. However, facial recognition technology has made significant progress and is now used in colleges and universities for basic attendance monitoring. The kids’ individual ID numbers are shown on the system’s display screen once the camera has captured images of them. The approaches of face recognition, LBPH, and Haar Cascade have been utilized in the implementation of face detection.

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An Analytical Assessment of an Automated Attendance System Using the Lbph and Haar Cascade Algorithms in Conjunction with a Closed-Circuit Television Camera

  • 会议论文

  • 发表日期：

    2025年

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  • Rajesh Tiwari,
  • Sheo Kumar,
  • P. Ravi Kiran,
  • N. Prameela,
  • Jonnadula Narasimharao,
  • M. Ravindran

摘要

The capacity recognize faces has been a key advance in the safety of business, especially since CCTV (Closed-Circuit Television) cameras are increasingly used to monitor protection. Even with significant advancements in computer vision, manual attendance systems still pose a number of challenges because of the need to protect sensitive data and their imprecision. However, facial recognition technology has made significant progress and is now used in colleges and universities for basic attendance monitoring. The kids’ individual ID numbers are shown on the system’s display screen once the camera has captured images of them. The approaches of face recognition, LBPH, and Haar Cascade have been utilized in the implementation of face detection.