SPEC INDIA developed an AI/ML-based Attendance Management System using their facial recognition platform, SAFR, to streamline and automate workforce attendance tracking. The system captures, verifies, and logs employee presence in real time, integrating with access control and payroll systems.
ReactJS
Python
SQL Server
Managers could confirm employee presence at any given time.
Processing paper records was labor-intensive and inefficient.
Manual processes were prone to mistakes and deliberate manipulation.
Inaccurate attendance led to payroll lag.
Automates attendance logging by comparing real-time face captures to database entries.
Detects faces “in the wild”—handling motion, poor lighting, and angle variations.
Gates unlock only upon successful biometric/facial recognition, merging attendance with security.
Calculates total time spent on premises and exports data for payroll and attendance reporting.
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Effectively curbed buddy-punching and manual entry fraud.
Administrative teams no longer manage paper processes.
Infrared-supported detection enhanced system reliability.
Easily connected to existing infrastructure.
Real-time, accurate attendance data improved payroll timing.
No badges or tokens required—convenient and efficient.
SPEC House, Parth Complex, Near Swastik Cross Roads, Navarangpura, Ahmedabad 380009, INDIA.
+91-79-26404031, 32-33-34 
[email protected]
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