Attendance management system using face recognition
Ruchi Madane
Department of Artificial Intelligence and Data Science, Ajeenkya DYPatil School of Engineering, Pune
Sakshi Pawar
Department of Artificial Intelligence and Data Science, Ajeenkya DYPatil School of Engineering, Pune
Siddeshwar Sangrampatle
Department of Artificial Intelligence and Data Science, Ajeenkya DYPatil School of Engineering, Pune
Ashutosh Rode
Department of Artificial Intelligence and Data Science, Ajeenkya DYPatil School of Engineering, Pune
Yogesh Pawar
Department of Artificial Intelligence and Data Science, Ajeenkya DYPatil School of Engineering, Pune
DOI: https://doi.org/ima.v2i2.6383
Keywords: Face Recognition, Face Detection, Optimal Separating Hyperplane (OSH), Region of Interest (ROI)
Abstract
A properly maintained attendance system for recording attendance has a more time-consuming process. Security, authentication, and identification are only a few applications for it. It is widely used since it is a non-invasive, contact less method despite having lower accuracy than iris and fingerprint identification. Even though there are already many models available, there are many ambiguities. This essay introduces automatic attendance management, which will take the place of the manual system, which is time consuming and challenging to maintain. It is simple yet highly accurate and cost-effective.
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