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Open Access
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Abhishek Ghuge, Divyansh Srivatava, Dnyaneshwari Gawande, R.P. Patil
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- Student,, Student,, Student,, Assistant Professor, Department of Electronics and Telecommunication, Vadgaon (BK), Pune,, Department of Electronics and Telecommunication, Vadgaon (BK), Pune,, Department of Electronics and Telecommunication, Vadgaon (BK), Pune,, Department of Electronics and Telecommunication, Sinhgad College of Engineering ,Vadgaon (BK), Maharashtra,, Maharashtra,, Maharashtra,, Maharashtra, India, India, India, India
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Abstract
nTime management is critical in today’s hectic classroom, and keeping track of attendance can take up valuable class time. Utilizing technologies like facial recognition and detection can greatly expedite this procedure. While face recognition algorithms compare the detected faces with known faces kept in a database, face detection algorithms can recognize human faces within a group photo or video stream. Without the need for human interaction, teachers can effectively record attendance by incorporating these technologies into an automated attendance system. By adding multi-face detection capabilities to your project, you can further increase efficiency—especially in larger class sizes—by having the system scan numerous faces at once. This shortens the time required for the process by enabling the recording of attendance for every student in the frame at once. An image or video stream of the class is usually captured, face detection is used to find faces in the frame, and face recognition is used to compare these faces with the student database. A match is automatically recorded as present in the student’s attendance record. It is crucial to deploy robust face detection and identification algorithms that can tolerate fluctuations in illumination, facial expressions, and occlusions to assure accuracy and reliability. The storage and use of facial data should also take data security and privacy concerns into account. By putting in place an automated attendance system, educators can guarantee precise and effective attendance monitoring while freeing up important class time for more productive activities.
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Keywords: Face detection, attendance, automatic, multifaced detection, robust face
n[if 424 equals=”Regular Issue”][This article belongs to Journal of Electronic Design Technology(joedt)]
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References
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| Volume | 15 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | April 22, 2024 | |
| Accepted | May 23, 2024 | |
| Published | June 13, 2024 |
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