Visual Inspection of Coatings
AI Detection of Appearance, Surface Defects, and Coating Quality
The system for automatic visual inspection of coated surfaces uses 3D visualization and advanced AI analysis to detect even the slightest defects. It reliably identifies structural, mechanical, and coating-related defects, from scratches and abrasions to paint runs, orange peel texture, or tiny dust particles. It ensures every coated part meets visual and quality standards required in production.
Even the smallest visual deviation on a coated surface can signal a problem. It affects appearance, durability, and the overall value of the product. Thanks to the combination of AI, 3D processing, and precise sensitivity calibration, the system can detect microscopic defects that the human eye can easily miss. This enables stable and repeatable quality control even on highly reflective or textured surfaces.
- Automotive
- Aerospace
- Mechanical Engineering
- Electronics
- Healthcare / Medical
- Consumer Goods
- Manufacturing
- Real-time detection of structural, mechanical, and coating defects
- 3D analysis of texture and gloss to distinguish real defects from reflections
- Adjustable sensitivity for different surface types and environments
- Support for static or robotic integration
- Recording and evaluation of results for full quality traceability
From Microscopic Scratches to Subtle Coating Structure Deformations
Real AI Inspection Results on Coated Surfaces
The system combines multi-view imaging with different lighting conditions and analyzes the surface’s structure, shape, and reflectivity. The AI models distinguish between true defects and optical effects. The result is reliable and consistent defect detection, regardless of the part’s color, gloss level, or geometry.
In the inspection of coated plastic parts in the automotive industry, the system automatically detects scratches, paint drips, or dust particles beneath the surface. Defective parts are marked for rework, reducing scrap rates and eliminating the risk of customer complaints.