Capture:Installed cameras in classrooms randomly capture images of students, whether existing security cameras or new installations. This ensures all students present are accounted for.
Recognition:The AI system is trained on a student photo database, created from admission photos or updated snapshots. Advanced face recognition algorithms identify students in images.
Attendance Marking:Students are marked present when identified in a set number of images, adaptable to lecture duration and image frequency.
Flexibility: The system accommodates brief absences, ensuring students aren't marked absent if they step out for a short duration.
Integration:Seamless integration with existing tracking software, like Moodle or Blackboard, simplifies the shift from manual to automated attendance.