From transparent items to small ones and those with complex shapes! Here are some detection examples using NuLMiL.
We would like to introduce a detection case using the visual inspection system "NuLMiL." It can be applied to the detection of fish bones. By clearly capturing thin bones with a width of 0.2mm using an X-ray imaging device, we have made inspection possible. 【Challenges】 ■ We want to automate and reduce manpower for items currently inspected visually. ■ We want to find thin bones that are difficult to capture with X-rays. ■ The detection accuracy of existing X-ray inspection devices is low. 【Verification Details】 ■ Capture images with settings that allow for the detection of the desired bones. ■ Successfully detected bones using this product. *For more details, please feel free to contact us.
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basic information
■What is the AI Automatic Appearance Inspection System 'NuLMiL'? It is an AI automatic appearance inspection system that learns defective patterns with each application and automatically classifies the types of defects. The AI, created by training on color-coded image data differentiated for each defect, automatically identifies and classifies defects based on the applied colors. Through deep learning of good and defective products, it learns patterns of anomalies and defects, building a model to evaluate the appearance of products. This enables high detection accuracy with a small amount of defective product data, allowing for classification of defect types and detection of unknown defects. We have many achievements, including holes in tile materials, cracks in aluminum processed products, scratches on semiconductor wafers, scratches on aluminum processed products, burrs on holes in metal parts, and scratches on aircraft coatings. *For more details, please feel free to contact us.
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Company information
Our company is a group of engineers that realizes system development and industrial efficiency using AI technology through the development and sales of software utilizing advanced technology. Currently, we are engaged in providing appearance inspection solutions using AI and image processing for the manufacturing industry. In the manufacturing sector, strict selection criteria are established for products, and companies must conduct inspections to meet these standards. With the increasing diversification of manufactured products, dedicated inspection systems are unable to keep up, resulting in the necessity of visual inspections by humans. Since pass/fail judgments are made based on human senses, even if manuals such as limit samples are created, human errors can occur, leading to variations in judgment criteria among inspectors. Naturally, as humans, differences in work accuracy and speed arise due to mental and physical fatigue. To address this issue, our company is continuously developing inspection solutions capable of accommodating diverse manufacturing. We have fully developed and sold eight types of software to date.