Skip to main content

Industrial Visual Intelligence

AI-powered visual intelligence for industrial quality, safety, and production monitoring. Edge GPU-based. No cloud dependency. Real-time at line speed.

<50ms
Inference latency
Per frame
99.2%
Detection accuracy
On production data
24/7
Continuous operation
No downtime
0
Cloud dependencies
Fully edge-native

Capabilities

What VisionOS does

Real-Time Defect Detection

Frame-by-frame inspection at line speed. Detects fabric tears, seam defects, colour inconsistencies, and foreign objects without slowing production.

Edge-Native Inference

Runs entirely on-premises on industrial GPU hardware. No cloud dependency, no data egress, no latency spikes. Air-gapped deployment supported.

Worker Safety Monitoring

Detects PPE compliance, restricted zone violations, and ergonomic risk postures in real time — before incidents occur.

Expandable Model Library

Start with garment defect detection. Add CCTV intelligence, perimeter monitoring, or custom inspection models without replacing infrastructure.

Sub-50ms Latency

Designed for real-time manufacturing environments. Inference completes within a single production cycle — no delayed alerting.

Production Analytics

Every inspection event is logged. Track defect rates, throughput, shift performance, and quality trends across time.

Use Cases

Deployment scenarios

Garment Defect Detection

Live

Detects stitching defects, fabric tears, colour inconsistencies, and foreign object contamination at line speed in garment manufacturing.

Inputs
  • Industrial camera array
  • Edge GPU node
Outputs
  • Defect classification
  • Defect coordinates
  • Severity score
  • Production halt signal

Worker Safety & PPE Compliance

Live

Continuously monitors worker zones for PPE usage, restricted area entry, and posture risk — escalating violations in real time.

Inputs
  • CCTV cameras
  • Zone configuration
Outputs
  • PPE compliance rate
  • Violation alerts
  • Incident pre-warnings
  • Shift safety report

CCTV Intelligence

Roadmap

Transforms passive camera networks into active intelligence systems — detecting behaviour anomalies, crowd density, and access violations.

Inputs
  • Existing CCTV infrastructure
Outputs
  • Behaviour anomaly alerts
  • Access violation flags
  • Crowd density maps

Production Throughput Monitoring

Roadmap

Visual tracking of production line throughput, bottleneck detection, and OEE contribution from camera data.

Inputs
  • Production line cameras
Outputs
  • Real-time throughput
  • Bottleneck identification
  • OEE contribution

Common questions

Deploy VisionOS in your facility

Schedule a technical assessment and we'll evaluate fit for your production environment.