About Us

 "DLSAU FARAM" (Face Attendance Recognition and Monitoring) 

The system aims to enhance the attendance monitoring processes for DLSAU events. The primary objective is to streamline and improve accuracy in attendance record-keeping, thereby reducing administrative workload.

The key goals include developing a facial recognition system to automate attendance tracking and eliminating the need for manual sign-ins. The system will incorporate algorithms capable of efficiently managing large events with minimal hardware requirements. To enhance accuracy, the facial recognition parameters will be fine-tuned. Additionally, a user-friendly interface will be designed to facilitate event organizers in managing attendance data. To ensure compliance with data protection regulations, measures will be implemented to safeguard attendee data.

Overall, the system strives to provide a more efficient and secure solution for attendance monitoring at DLSAU events.