Real-Time Image Based Attendance System Using Python

Registration ID: IJNRD_195714

Published ID: IJNRD2305502

DOI: Click Here to Get

Shivam Yadav , Harshit Prem , Nitin Pawar , Alok Kumar , Ravi

Face recognition, Face detection, Machine Learning, Naive-Bayes, OpenCV

This project aims to develop a face recognition attendance system using Python. The system utilizes OpenCV and face recognition libraries to recognize and identify individuals from their faces. The process involves capturing an image of a person's face, extracting facial features using pre-trained deep learning models, and comparing them against a database of known faces. The system then marks the attendance of the recognized individual. The project also includes a GUI interface to allow easy interaction and visualization of the system's output. The system has potential applications in educational institutions, workplaces, and other organizations where attendance tracking is essential. The accuracy and efficiency of the system are tested, and the results show that it can perform with high accuracy in real-time applications.

Published Paper   E-Certificate

Shivam Yadav, Harshit Prem, Nitin Pawar, Alok Kumar, & Ravi (May-2023). Real-Time Image Based Attendance System Using Python. INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT, 8(5), e846-e854. https://ijnrd.org/papers/IJNRD2305502.pdf

Volume 8 Issue 5, May-2023

Pages : e846-e854

Paper Reg. ID: IJNRD_195714

Published Paper Id: IJNRD2305502

Downloads: 000121980

Research Area: Electronics & Communication Engg. 

Country: Greater Noida, Gautam Buddha Nagar, Uttar Pradesh, India

Published Paper PDF: https://ijnrd.org/papers/IJNRD2305502.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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Call For Paper - Volume 10 | Issue 10 | October 2025

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