Face Recognition Attendance
An AI-driven attendance method that identifies individuals from their facial features and records a verified check-in or check-out event automatically.
Used in offices, schools, factories, hospitals, campuses, and field environments where touchless, high-speed verification is preferred.
Frequently Asked Questions about Face Recognition Attendance
How accurate is face recognition attendance?
Modern AI-based face recognition achieves 99%+ accuracy under controlled conditions. Nialabs models are optimized for Indian faces, diverse skin tones, and indoor lighting.
What if an employee changes their appearance significantly?
For gradual changes the AI adapts. For significant changes such as surgery, re-enrollment is recommended to maintain accuracy.
Does face recognition work with masks?
Yes. Nialabs supports masked face recognition using upper-face and periocular features, or can be configured to require mask removal at specific access points.
