With dome lighting and AI, we inspect over 20 items for appearance defects in aluminum wheels. We also systematize complex glossy surfaces.
This is a system that automates the visual inspection of aluminum wheels using multi-directional imaging with dome lighting and AI image analysis. It detects over 20 types of appearance defects, including paint defects, dents, foreign objects, scratches, and orange peel, with an NG detection accuracy of up to 0.5mm. It addresses challenges that were difficult to systematize due to complex geometric shapes, patterns, glare, similar colors, and materials.
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basic information
- Inspection items: More than 20 items (paint edges / blisters, dents / substrate dents, foreign objects, paint drips, scratches, orange peel, etc.) - NG detection accuracy: Up to 0.5mm - Imaging: Multi-directional imaging using dome lighting (patent pending) - System configuration: Development of inspection system, dashboard UI, hardware, etc. (dome-shaped lighting, chuck method using robots, movable lighting / cameras, etc.) *We will propose the optimal configuration according to the purpose and site conditions.
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Applications/Examples of results
- Visual inspection of aluminum wheels (defect inspection after painting / machining) - Elimination of variability in judgment criteria and shortage of skilled inspectors
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Company information
CDI Corporation is an electrical machinery manufacturer that primarily engages in the design and production of electrical control panels for factory automation, as well as the assembly of machinery. Additionally, it develops and manufactures golf-related equipment utilizing its technology. To conduct sales across diverse business areas, the company employs staff with extensive knowledge in various fields, enabling it to respond flexibly and swiftly to customer needs, not only in equipment sales but also in development, design, manufacturing, installation, and maintenance.
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