Pixuate
Factory & Industrial Analytics

Uniform-based Classification

Identifies and classifies people by the colour and type of their uniform or clothing from IP cameras, matching each person to a role — staff, contractor, or visitor. It enforces role-based zone access, flags anyone whose uniform doesn't belong in a restricted area, and monitors compliance with uniform and dress-code policies. Every classification is logged with image evidence, and real-time alerts fire when an unauthorised uniform type appears in a zone. Works across multiple camera zones at once and runs on the edge.

Key Features

Discover the powerful capabilities that make Uniform-based Classification stand out

Classifies persons by uniform colour and type

Role-based zone access — staff, contractor, visitor differentiation

Detects unauthorised persons in role-restricted areas

Uniform compliance monitoring — alerts on incorrect or missing uniform

Works across multiple camera zones simultaneously

Real-time alert when a non-authorised uniform type is detected in a zone

Classification log with image evidence per event

Edge deployment for on-site monitoring

Technical Specifications

Detailed technical information about Uniform-based Classification

Camera:2MP+ IP CCTV (RTSP)
Deployment:Edge device or on-premises server
Output:Uniform class, zone ID, compliance status, timestamp, image crop

Prerequisites & Limitations

What Uniform-based Classification needs to run reliably, and the operating limits to plan for.

Prerequisites

  • Camera: 2MP+ IP/RTSP at the zones or access points where uniform-based access applies
  • Colour-accurate illumination — white-light is preferred for reliable uniform/colour classification (IR produces monochrome imagery)
  • Stable bandwidth between camera and edge/server — roughly 4–8 Mbps per 2MP H.264/H.265 stream
  • Mounting so each worker's upper body and uniform are clearly visible
  • 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 person size in frame≥ ~40 px height≥ ~40 px height
Event-to-alert latency< ~1 s on-deviceDepends on network round-trip

Indicative figures — actual limits depend on hardware, scene, and configuration.

Related Knowledge Base

Learn about the hardware and infrastructure components used in a Uniform-based Classification deployment.

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