Inspection that does not compromise even the wood grain quality - Gemini eye

Allow differences in wood grain and color, and detect surface scratches and dirt.

In the visual inspection of wooden boards and housing materials, while we want to retain good products with variations in wood grain and color, we cannot overlook surface scratches and dirt. If we classify even the wood grain as defective, it will increase the number of verification tasks and the need for rework decisions. "Gemini eye" is an appearance inspection AI that learns from good products and detects areas that are "different from usual." It can be evaluated with a small amount of good product data, eliminating the need to gather a large number of defective products. Even for items with natural individual differences, such as scratches on wooden boards, it detects appearance defects while maintaining the range of good products. Abnormal areas are displayed on a heat map, allowing on-site verification of where defects were identified. The judgment results can be viewed in images, numbers, and graphs, which also aids in sharing inspection standards and explaining quality checks. In addition to detecting unknown defects, it can also display known defects by type. We can consult on everything from selecting imaging equipment to inspection devices, considering ways to reduce variability in visual inspections and automate the process. 【Features】 ■ Accommodates variations in wood grain and color ■ Detects surface scratches and dirt ■ Displays abnormal areas on a heat map ■ Proposes imaging equipment and inspection devices *For more details, please refer to the PDF document or feel free to contact us.

Image Processing Software