VisionOS

AI-Powered Machine Vision for Smart Manufacturing

VisionOS is an AI-powered machine vision inspection system for discrete manufacturing that detects surface defects, verifies dimensions, and automates quality control at production speeds.

VisionOS Applications

Mould Health Monitoring

Monitor mould conditions in real time and detect issues before they impact production. VisionOS identifies stuck parts, slider malfunctions, foreign objects and other abnormalities during the manufacturing process.

  • Prevent mould crashes and expensive repairs.
  • Reduce downtime caused by mould maintenance.
  • Extend the lifespan of your tooling assets.
AI vision system monitoring injection mould surface and slider health in real time

Rejection Identification

Automate visual inspection and identify defective parts with AI-powered Machine Vision. VisionOS can inspect components for surface defects, dimensional issues and assembly errors at production speed.

  • 100% automated inspection at production speeds.
  • Eliminate human error and fatigue in QC.
  • Real-time data logging for traceability.
AI machine vision automated defect detection and part rejection system

The VisionOS Advantage

AI-Powered Inspection

Use AI and Machine Vision to automate quality inspection across manufacturing processes.

High-Speed Processing

Inspect components at production speeds without slowing down your production line.

Easy Integration

Integrate with industrial cameras, PLCs and existing manufacturing systems.

Real-Time Alerts

Receive instant alerts when defects or process abnormalities are detected.

Quality Analytics

Monitor defect patterns and quality trends to identify opportunities for improvement.

Edge Computing

Process vision data locally for faster response, reliable operation and enhanced data security.

Buyer & Engineering FAQ

VisionOS Frequently Asked Questions

Technical and deployment insights on camera optics, edge inference, and zero-defect quality control.

VisionOS is an AI-powered machine vision inspection platform built for discrete manufacturing lines. It inspects parts in real time to catch surface defects (scratches, cracks, pinholes, flash, short shots), dimensional deviations, missing assembly components, and incorrect labeling at production speeds with up to 99.9% accuracy.
VisionOS integrates with high-speed industrial GigE Vision, USB3 Vision, and MIPI cameras featuring global shutter CMOS sensors up to 24 megapixels. Illumination is engineered with custom strobed LED backlights, ring lights, coaxial lighting, or dome illuminators tailored to metallic, plastic, transparent, and specular surfaces.
Yes, VisionOS performs edge AI inference locally on dedicated industrial GPU and NPU accelerators with image processing latencies between 20 to 100 milliseconds. This enables 100% inline inspection for production lines operating at hundreds of parts per minute without causing conveyor bottlenecks.
Mould Health Monitoring uses dedicated optical sensors and computer vision cameras placed inside the clamping zone of injection moulding machines. It verifies complete part and runner ejection before the clamp closes, preventing catastrophic mould crashes, slider collisions, and multi-thousand-dollar tooling repairs.
VisionOS communicates with machine PLCs (Siemens, Rockwell, Omron, Mitsubishi, Beckhoff) via low-latency 24V digital I/O, Ethernet/IP, or Modbus. Upon defect classification, VisionOS sends an immediate hardware pulse to trigger pneumatic air rejectors, diverter arms, or robotic pick-and-place sorting mechanisms.
VisionOS utilizes transfer learning and unsupervised anomaly detection models that require as few as 30 to 50 sample images of acceptable parts to establish a baseline inspection profile. New product variants and defect criteria can be calibrated and deployed within hours rather than weeks.

Achieve Zero-Defect Manufacturing

Experience the power of AI vision in your production line. Reduce waste and improve customer satisfaction.