Optimax Displays Automated Defect Detection at MACH
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Optimax Eliminates Inspection Bottlenecks with AI-Driven Automated Defect Characterisation and Measurement at MACH 2026
Optimax Imaging and Inspection (Stand 18-630) will be showcasing a breakthrough in automated quality control: a system that combines Deep Learning AI with high-precision 3D measurement to automate the detection and quantification of surface defects.
In a departure from traditional “all-or-nothing” inspection, the Optimax solution introduces a streamlined, two-stage autonomous workflow. The system first identifies surface features and characterises them as OK or NO-OK based on pre-defined parameters. Crucially, the system then triggers high-precision 3D measurements only on the defects identified as NO-OK, drastically reducing the cycle time for complex inspections.
A Smarter Approach to Inspection Efficiency:
- Selective Metrology: By filtering out acceptable surface variations and only measuring critical flaws, the system eliminates the data bottleneck typical of 100%-part scanning.
- Automated Characterisation: The AI identifies a wide range of defects—including scratches, dents, burrs, and corrosion—quantifying with Micron accuracy only those that fall outside acceptable tolerances.
- CAD-Integrated Workflow: The solution can be programmed directly from a CAD model or digital twin, allowing for rapid deployment and consistency across different part batches.
- Reduced Manual Intervention: Moving from subjective visual “attribute” inspection to automated 3D data ensures repeatable results and frees up skilled operators for higher-value tasks.
By utilising intelligent robotic planning and 3D surface gauging, the system automatically identifies imperfections and measures only those that deviate from CAD-defined tolerances.
