Attendance without devices, powered by AI

A CCTV attendance system uses AI face recognition on existing camera feeds to mark attendance as workers walk through gates — no terminal, no queue, no contact. For industrial sites it removes the throughput bottleneck at shift change, when hundreds of workers arrive in minutes.

In most cases yes — cameras are integrated over standard ONVIF/RTSP feeds. What matters is placement, resolution, and lighting at the capture point rather than brand; a site survey confirms which existing cameras qualify and where additions are needed.

Accuracy depends on camera angle, lighting, and distance — dust, backlight, and helmets all affect it. InOps publishes real deployment data in its biometric attendance rather than quoting lab figures, and recommends terminals rather than cameras where conditions can't support reliable capture.

Yes — this is its main industrial use. Camera-captured attendance carries contractor mapping, so verified headcount and hours reconcile against contractor invoices in contract labour management, and OT is computed from actual capture times rather than contractor-reported rosters.

Yes. Each capture is a timestamped identity event that feeds the same attendance and register engine as terminal-based reads, so Form V/XIII registers and statutory reports are generated from it identically.

Attendance is bound to the worker's face, not a card or PIN, so it cannot be handed to a colleague. Capture happens in natural movement through the gate, which also removes the incentive to cluster and punch for absent workers.

Yes. Camera, terminal, fingerprint, and mobile capture all feed one identity engine — a worker enrolled once is recognised by any method, so sites typically use cameras for high-flow gates and terminals where enforcement must be physical.

Consent is captured digitally at enrollment in the worker's language before any template is created. Templates are access-controlled with configurable retention, and handling aligns with DPDP Act obligations.

Camera capture identifies; enforcement needs a physical barrier. Where blocking is required, cameras pair with turnstiles and gate compliance rules so a worker failing induction, medical, or licence checks doesn't get through.

Software configuration on existing, suitable cameras is fast; realistic timelines depend on the site survey, network access to camera feeds, and enrollment of the workforce. Enrollment volume, not software, is usually the critical path.