Problem
Attendance can become slow and error-prone when check-ins depend on manual marking, repeated verification, or unclear records.
Solution
CObot+ explores a facial recognition attendance flow that captures a face, checks confidence, matches the person to a profile, and records the attendance status in a clearer system.
Process
The work focuses on mapping the check-in journey, defining attendance states, and shaping screens that make recognition results easy to understand before they become records.
Outcome
The project is becoming a practical study in how smart attendance can feel faster and more reliable while still leaving uncertain matches open for review.
