Work

Automated Attendance System Using Facial Recognition for Educational Institutions

Year: 2025

Type: article

Abstract: — Taking attendance in educational institutions has traditionally been a tedious and error-prone task. This paper introduces an Automated Attendance System that leverages facial recognition technology to make the process seamless and efficient. With this system, educators can simply take a photo of their class, upload it, and receive an instant attendance report. The system securely stores student details—such as photos, names, and roll numbers—in a MongoDB database. Using advanced facial recognition algorithms, it matches student faces with existing records, marking those present while identifying absentees. By automating this routine task, the system minimizes manual effort, enhances accuracy, and offers a scalable solution suited for modern educational environments.

Source: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

DOI: 10.55041/ijsrem42317

Author: Madhura N1

Language: English

Topic: Face recognition and analysis

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Quality education

Open Access status: hybrid

OpenAlex ID: W4408410907

FWCI:

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