Pixuate
Factory & Industrial Analytics

Face Recognition System

Camera-based face recognition for access control and attendance across offices, commercial buildings, and factory or industrial sites. Matches faces from IP cameras against a registered identity database in real time to grant or deny access, log attendance, and flag unknown or watchlisted persons — with a shift-wise attendance module and partial-occlusion support for helmets, masks, and PPE.

Key Features

Discover the powerful capabilities that make Face Recognition System stand out

Real-time face detection and recognition from IP cameras

1:N matching against a registered identity database

Touchless access grant or deny at doors, turnstiles, and gates

Shift-wise attendance module — entry/exit logging by shift

Partial-occlusion support — recognises faces with helmets, masks, or visors

Restricted-zone access control by identity for production floors and secure areas

Unknown-person and watchlist alerts

Liveness detection to prevent photo and replay spoofing

Visitor and contractor enrolment workflows

Works across office, commercial, and factory environments under variable lighting

Multi-camera, multi-door deployment with one unified identity database

Edge deployment for on-site, low-latency processing

Technical Specifications

Detailed technical information about Face Recognition System

Camera:2MP+ IP CCTV (RTSP), front-facing entry or checkpoint view
Deployment:Edge device or on-premises server
Modules:Access control, shift-wise attendance, restricted-zone identity
Output:Identity match, confidence score, access decision, attendance/shift record, timestamp, image crop

Prerequisites & Limitations

What Face Recognition System needs to run reliably, and the operating limits to plan for.

Prerequisites

  • Camera: 2MP+ IP/RTSP at the entry or checkpoint, positioned for a clear, front-facing view of faces
  • Even illumination on faces — avoid strong backlight; use IR/white-light for low-light entries
  • Stable bandwidth between camera and edge/server — roughly 4–8 Mbps per 2MP H.264/H.265 stream
  • Mounting at face height and angle so subjects are captured frontally as they approach
  • A registered identity database (enrolment) for matching
  • Stable power and network at the deployment point

Operating Limits

Factor Edge Server
Incident / event capture rate≤ ~5 events per second≤ ~20 events per second
Concurrent camera streams per node1–4 streams (Jetson TX2 / Orin)8–16+ streams
Minimum face size in frame≥ ~80 px width≥ ~80 px width
Recognition latency< ~1 s on-deviceDepends on network round-trip

Indicative figures — recognition accuracy depends on pose, lighting, and occlusion.

Related Knowledge Base

Learn about the hardware and infrastructure components used in a Face Recognition System deployment.

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