Face Recognition for Smart Attendance A Review of Current Methods and Open Issues

Registration ID: IJNRD_210024

Published ID: IJNRD2312046

DOI: Click Here to Get

Lakshay Arora , Pushkar Verma , Barla Dikshit , Rajat Chandel , Kodekandla Saiganesh Reddy

Face Detection, Face Recognition, HaarCascade classifier, NVIDIA Jetson Nano. Smart Attendance System, AI Based Attendance System, Artificial Intelligence

This project focuses on automating the attendance process in educational institutions and offices by implementing a face recognition-based system. The traditional manual method of calling names or roll numbers is replaced by a more efficient and modern approach. The system, situated in classrooms, utilizes student information, including name, roll number, class, sec, and photographs, which are trained using OpenCV. The device, equipped with a Logitech C270 web camera and the NVIDIA Jetson Nano Developer kit, captures and processes images. The Haarcascade classifier identifies faces, and the LBPH algorithm recognizes them by comparing them with a pre-established dataset. The attendance is then automatically marked, and an Excel sheet is updated regularly with the information provided by the class instructor. This innovative solution enhances the efficiency of attendance management and aligns with contemporary time management standards.

Published Paper   E-Certificate

Lakshay Arora, Pushkar Verma, Barla Dikshit, Rajat Chandel, & Kodekandla Saiganesh Reddy (December-2023). Face Recognition for Smart Attendance A Review of Current Methods and Open Issues. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(12), a352-a357. https://ijnrd.org/papers/IJNRD2312046.pdf

Volume 8 Issue 12, December-2023

Pages : a352-a357

Paper Reg. ID: IJNRD_210024

Published Paper Id: IJNRD2312046

Downloads: 000122017

Research Area: Computer Science & Technology 

Country: Mohali, Punjab, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2312046.pdf

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Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

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