Copyright © 2025 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{151295,
        author = {Smit Vasani and Dr. Jitendra Saturwar and Jay Sarvaiya and Harsh Rawal},
        title = {Automated Attendance Using Face Recognition},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {7},
        number = {12},
        pages = {379-382},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=151295},
        abstract = {In a world progressing towards a digital age, even today in classrooms manual attendance systems are still used on a macro scale. Instead of using this time-consuming and laborious method, we can instead design an automated attendance system to save time. The proposed system will make use of OpenCV Module in python which uses Haar Cascade Classifier for face detection and Local Binary Patterns Histograms (LBPH) for face recognition. The proposed system will contain stored images of student’s faces in the system's database for which attendance records are to be maintained. On successful recognition of students' faces present in the classroom, they will be matched with the database of the system and for those students registered in the database, an excel sheet will be created to record their attendance.},
        keywords = {OpenCV, Python, Face detection, Haar Cascade Classifier, Face recognition, Local Binary Patterns Histograms (LBPH)},
        month = {},
        }