Paper Title :Deep Learning-Powered Web Attendance Tracker
Author :Sweekrati Giri, Mrinalini De, Saumya Mary Dason, Krishna Saroj, Anandkumar Pardeshi
Article Citation :Sweekrati Giri ,Mrinalini De ,Saumya Mary Dason ,Krishna Saroj ,Anandkumar Pardeshi ,
(2024 ) " Deep Learning-Powered Web Attendance Tracker " ,
International Journal of Advance Computational Engineering and Networking (IJACEN) ,
pp. 78-82,
Volume-12,Issue-4
Abstract : In an era where technology plays an ever-increasing role in education, the need for efficient attendance
monitoring systems has become paramount. In response to this, we present our ambitious project: a web-based attendance
monitoring system that harnesses the power of face recognition algorithms to enhance attendance tracking in educational
institutions. The main objective of our project is to compare and identify the most accurate face recognition algorithm among
many distinct contenders. Leveraging a diverse and comprehensive database containing numerous student photos captured
under varying conditions such as different lighting, angles, and even facial hair, our system aims to learn and adapt to realworld
scenarios. For this, we will be comparing 2 algorithms which are- MTCNN with Face Net and Deep Face. To achieve
our goals, we have meticulously planned a two-fold approach. Initially, we will test our system using a dummy dataset,
allowing us to fine-tune and optimize its performance. Subsequently, we will manually create an authentic database with
information about actual students, ensuring a robust and reliable system that caters to real-world needs. Additionally, our
system will play a pivotal role in fostering transparent and effective communication between educational institutions and
parents. By notifying parents about their ward’s attendance records, we aim to bridge the information gap and encourage
parental involvement in their child’s academic journey.
Keywords: Attendance tracking, Deep Face, Face Net, MTCNN.
Type : Research paper
Published : Volume-12,Issue-4
Copyright: © Institute of Research and Journals
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Published on 2024-07-10 |
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