Kaopass

• Traditional clock-in methods were prone to buddy-punching and missed punches, undermining attendance accuracy.
• Tallying working hours and reporting was largely manual and labor-intensive to manage.
• Leave requests and approvals were cumbersome, making it hard to grasp attendance status in real time.

Achieve accurate attendance recording via facial recognition along with automated aggregation and online management, improving the accuracy and efficiency of timekeeping.

• Record attendance using facial-recognition technology to prevent buddy-punching and missed punches.
• Automatically calculate working hours and generate reports to streamline aggregation.
• Centrally manage attendance data online with real-time monitoring.
• Integrate leave request/approval processes with clock-in/out notifications and reminders.

• Attendance recording via facial-recognition technology.
• Automatic calculation of working hours and reporting.
• Online management of attendance data.
• Leave request and approval process.
• Real-time monitoring of attendance data.
• Attendance history and report generation.
• Clock-in/out notifications and reminders.

• Facial recognition improved attendance accuracy, curbing buddy-punching and missed punches.
• Automatic working-hour calculation reduced aggregation and reporting effort.
• Centralized online management enabled real-time visibility into attendance status.