Impact Factor (2025): 6.9
DOI Prefix: 10.47001/IRJIET
Vol 9 No 25 (2025): Volume 9, Special Issue of INSPIRE’25 April 2025 | Pages: 407-414
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 24-04-2025
In businesses, organizations, and educational institutions, preserving music of attendance is a everyday responsibility. Often, it`s miles completed thru manner of manner of hand using techniques like calling out roll numbers or names. The reason of this venture is to create a complex face recognition-based totally completely without a doubt honestly truely surely in truth attendance device that lets in you to replace and streamline the cutting-edge manual process. Developing an automated device on the way to growth the precision and effectiveness of record-preserving is our primary reason. Student information, collectively with name, roll number, class, section, and photographs, is professional and stored thru manner of manner of the technology, this is installation in classrooms. To extract pictures, OpenCV is utilized. The device can be approached thru manner of manner of university college university college university college university college students preceding to class, and it`ll snap their pictures and feature a have a take a have a study them to a pre-made dataset. To find out faces, the picturegraph processing technique first employs a Haarcascade classifier.
OpenCV, Face Recognition, flask, Attendance system, MYSQL
G Kanishka, N. Hajira Banu, & B. Bhagya Lakshmi. (2025). Smart Workforce Analytics: Optimized Adaptive Recognition with Feature Selection. In proceeding of International Conference on Sustainable Practices and Innovations in Research and Engineering (INSPIRE'25), published by IRJIET, Volume 9, Special Issue of INSPIRE’25, pp 407-414. Article DOI https://doi.org/10.47001/IRJIET/2025.INSPIRE66
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