Face Recognition-Based Attendance System
摘要
The research explores a system monitoring students’ attending classrooms and classes. Open-source computer vision (OpenCV) blends with facial recognition techniques. The creation of an online facial recognition site works via the Tkinter platform, Python scripts, and SQL data. For facial identification and detection, methods like Haar cascade and local binary personality handle (LBPH) or histogram-oriented gradients (HOG) were utilized. During the visit, your photographer is crossed with a database for identification verification. Following recognition, the person's attendance gets swiftly recorded in an Excel peer. An Excel list, containing thorough attendance data daily, is sent to the befitting faculty.