Skylark Labs deployed face recognition across existing CCTV infrastructure to automate attendance tracking and restrict access to sensitive zones. Using the Kepler platform and Sentinel AI Cameras, the system replaces badge-based processes with contactless AI recognition that identifies workers in real time.
Large industrial sites rely on badges and manual check-ins for attendance and access control. These systems are slow, easy to circumvent, and generate unreliable data. Buddy-punching and lost badges made attendance records unreliable, while shared or stolen badges allowed access to restricted areas.
The facial recognition access control market is growing rapidly as organizations seek more secure alternatives. According to industry trends for 2026, multi-modal biometric authentication is becoming the standard, with the market projected to reach $36.2 billion by 2035.
"When your existing cameras can recognize every worker walking through a gate, you do not need badges, turnstiles, or manual check-ins anymore."
A face recognition layer on top of existing CCTV identifies workers in real time, logs attendance automatically, and controls access to restricted zones without any physical interaction. The system identifies multiple workers simultaneously as they pass through entry points.
Zone-based access control automatically restricts entry to sensitive areas based on worker authorization level. The Synapse AI Box processes all recognition locally, generating workforce analytics including attendance reports, movement patterns, and zone occupancy data.
No badges, fingerprints, or physical interaction required. The Sentinel AI Camera handles all verification through visual recognition, reducing workplace health risks from shared surfaces.
Workers now pass through entry points without stopping for manual verification, eliminating gate queues. Face-based verification cannot be shared, lost, or stolen like badges, resulting in zero unauthorized access events. The fully contactless system reduces workplace health risks, and attendance records tied to verified identity replaced transferable credentials.
As facial recognition technology matures in the workplace, organizations are seeing sub-1-second door unlocks that reduce queue time by 30% and eliminate lost card replacements entirely.
Face recognition on existing CCTV infrastructure is a practical path to automated access control and attendance. Skylark Labs identifies workers in real time, eliminates badge-based vulnerabilities, and produces reliable workforce data through Living Intelligence that manual methods never could.
See how face recognition can modernize your access control.
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