Paper Key : IRJ************763
Author: Darshana Mohan Patil,Dhruti Bhaskar Choudhari,Prerna Jaywant Nikumbh,Atharva Pradeep Dhumal,Dr.umesh Pawar
Date Published: 07 Nov 2024
Abstract
An essential task that must be carried out daily in businesses, schools, institutions, and organizations is attendance tracking. Typically, this is done manually by calling out individualsnames or roll numbers. The main aim of this project is to create an automated attendance system utilizing facial recognition technology to replace the existing manual method. This initiative meets both the requirements for effective time management and the modernization of attendance processes. The device is installed in classrooms, where studentspersonal information, such as names, roll numbers, classes, sections, and photographs, is inputted. Using Open CV, the photographs are processed beforehand. Before the class begins, the student can approach the device, which will start capturing images and comparing them to the authorized dataset. The image processing occurs as follows: first, the device automatically marks attendance, compares histogram data with a pre-existing dataset, and recognizes faces through the LBPH (Local Binary Pattern Histogram) Algorithm. An Excel spreadsheet is generated and updated every hour with information from the respective class instructor.
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