Featured Case Study
Facial Recognition Attendance System: From 2-Hour Queues to Touchless Workforce
How an AI-powered facial recognition platform replaced thumbprint biometrics across industrial and healthcare environments, reducing shift changeover from 2 hours to 30 minutes and enabling touchless attendance for 30,000+ workers.
30 min
shift changeover time
98%
accuracy across 30,000 workers
75%
reduction in attendance queues
AIOps
Problem
A large industrial site relied on thumbprint biometric attendance for nearly 30,000 workers. During every shift change, eight parallel biometric lanes operated for almost two hours,…
Outcome
The system reduced industrial shift changeover time from 2 hours to 30 minutes and cut attendance queues from eight lanes to two. It reached 98% recognition…
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