The modernization of college attendance systems has gained momentum with the advent of smart technologies. Among these, FaceAttend, a facial recognition-based attendance solution, has emerged as a promising tool. This paper evaluates the functionality, advantages, challenges, and implications of FaceAttend in the context of higher education. Through a comprehensive analysis, we explore how this technology aligns with the objectives of efficiency, accuracy, and security while considering ethical and technical concerns.In colleges, universities, organizations, schools, and offices, taking attendance is one of the most important tasks that must be done on a daily basis.The traditional methods of tracking student attendance in colleges, such as manual roll calls and sign-in sheets, are becoming increasingly inefficient in the digital age. This research paper explores the potential of smart attendance systems, with a focus on FaceAttend, a facial recognition-based attendance solution. The study evaluates FaceAttend's features, benefits, challenges, and its overall impact on modernizing college attendance systems
Attendance, Face Identification, OpenCV, Local Binary Pattern Histogram (LBPH), Training and Recognition, Database
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