• Ahanija Narayana CH
• Pranava Sharma K
• Prathviraj
• Winston Fernandes
• Nagaraja Hebbar N

In the digital century face recognition technology finds application in many areas as a commonly used biometric tool. With relatively lower accuracy when compared to finger recognition techniques, its non-contact and non-invasive nature renders it highly desirable. It is found to work best in applications involving security, authentication, as well as attendance tracking within academia and the workplace. This project designs an AI-based attendance monitoring system that works on the principle of face recognition to treat the inefficiencies and scope for incorrectness in conventional attendance systems, whereby the possibility of proxy attendance is a concern. The system involves four primary stages: building a database of student images, face detection, identity recognition, and updating attendance information. It adopts Haar-Cascade classifiers and Local Binary Pattern Histogram algorithm for the face identification process, handling video flows recorded in real-time in the classroom. Attendance records are automatically sent to the involved faculty member by email after the session.

REAL TIME AI POWERED FACE RECOGNITION SYSTEM WITH DATABASE INTEGRATION

"REAL TIME AI POWERED FACE RECOGNITION SYSTEM WITH DATABASE INTEGRATION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 7, page no.813-815, July-2025, Available :http://www.jetir.org/papers/JETIRGX06154.pdf

"REAL TIME AI POWERED FACE RECOGNITION SYSTEM WITH DATABASE INTEGRATION ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 7, page no. pp813-815, July-2025, Available at : http://www.jetir.org/papers/JETIRGX06154.pdf