Automatic attendance generating system using artificial intelligence technique

Indhu, D and Rajalakshmi, P and Joby Titus, T (2023) Automatic attendance generating system using artificial intelligence technique. International Journal of Modern Engineering and Research Technology, 10 (1). ISSN 2348-8565

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Abstract

The conventional methods practiced in most of the institutions are by calling names or signing on logbooks which are highly time consuming and insecure. This system describes the working of an automatic attendance system in
a classroom, institution environment. If the system recognizes faces, body, and eye pattern, the attendance gets marked immediately on the worksheet. In this AI based face recognition system, the face is the identity of a person. The methods to exploit this physical feature have seen a Great change since the advent of image processing
techniques. Counting people in visual surveillance is hard and challenging problem. Previously many techniques are proposed but due to the complexity and accuracy reduction,
we planned to implement with AI based automatic attendance tracking system using AI image processing. This paper describes the working of an Automatic Attendance System in
a Classroom environment. Initially video clip of classroom is taken and is stored in the Database, and these Video is converted to frames/images, then we apply face detection
Techniques such as Ada-boost algorithm and which are extracted by Histogram of Gradients (HOG) and Local Binary Pattern (LBP) algorithm. Here, we are getting to build
the human counting system through webcam, a smart attendance monitoring system based on face recognition will generate the attendance. This Technology stands tall with its unique
advantages.

Item Type: Article
Subjects: Electronics and Communication Engineering > Artificial Intelligence
Divisions: Engineering > Electronics and Communication Engineering
Depositing User: Unnamed user with email techsupport@mosys.org
Date Deposited: 22 Dec 2025 10:52
Last Modified: 01 Jan 2026 06:41
URI: https://ir.dsce.ac.in/id/eprint/53

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