Face Recognition Attendance
The Attendance System enables seamless, AI-verified clock-in and clock-out operations with real-time face validation, shift schedule alignment, break tracking, and automated monthly attendance sheets.
Overview
TrackHabit Attendance eliminates proxy attendance and buddy punching using camera-based AI face recognition. It records exact timestamps, working hours, and punch logs for every employee across web and mobile platforms.
Key Features
AI Face Verification
Captures a live selfie photo during clock-in and clock-out to verify identity instantly using facial recognition matching.
Shift Schedule & Timing Validation
Aligns clock-in and clock-out timestamps with assigned work shifts to evaluate shift adherence and calculate total worked hours.
Break Tracking & Working Hours
Tracks break start and end times automatically, calculating net daily working hours and overtime accurately.
Late & Early Punch Flags
Automatically flags late arrivals or early clock-outs against configured company work schedules for easy HR review.
Monthly Attendance Sheet
Admins and HR can view, search, and export monthly attendance summaries for all employees, complete with punch-in/out timestamps and break logs.
- View complete monthly attendance history for any individual employee.
- Filter records by date range, department, or attendance status (Present, Late, Absent).
- Export attendance punch logs for seamless integration with payroll processing.
- Grant individual attendance view permissions to specific team managers.
