Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{181514,
        author = {Prachi Parmar and Kamini Vishwakarma and Hare Ram Jha and Palak Agrawal and Prachi Hingole},
        title = {Real-Time Attendance Tracking System Using Facial Recognition},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {5240-5247},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181514},
        abstract = {Facial recognition is a highly efficient image processing application with a significant impact on technology. Identifying human faces is a critical topic, especially for validating student attendance. The attendance mechanism uses facial biostatistics. Recognition depends on high-resolution monitoring and modern computing technology. The aim of the design of this system is to digitize the established way of taking attendance, which utilizes verbal exchanges and maintained records. Current presence methods are time-consuming and at risk of distortion due to manual input. Old attendance marking as well as current biometric technologies is at risk to fake proxies. This paper seeks to overcome these difficulties. The suggested system makes use of the OpenCV, Haar cascade method, Pandas, MySQL and Dlib. The reports of ttendance are generated using facial recognition and exported in Spreadsheet format. The method is tested under several settings, including lighting, head motions, and distance between the camera and student. Intensive testing assesses total complexity and correctness. The suggested system effectively manages classroom attendance, reducing manual labor and time sources and facial expressions, with the identification rate as the primary statistic.},
        keywords = {About four(minimum) key words or phrases in alphabetical order, separated by commas.},
        month = {June},
        }