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Appearance inspection of mirror and plated products (detection and classification of defects) [Free verification conducted]

Appearance inspection of mirror and plated products (detection and classification of defects) [Free verification conducted]

Successfully detected and classified scratches and foreign objects on mirror and plated products! Achieved high detection accuracy with a special imaging technique that suppresses reflections! Introducing detection cases using NuLMiL.

We would like to introduce a detection case using the appearance inspection system "NuLMiL." It is applicable for detecting defects in mirror-finished and plated products. Using special lighting to capture images without reflections, we conducted verification with this product and successfully detected and classified defects such as scratches and foreign objects. This imaging technique is also applied to INZ-02, and semi-automation is possible for small parts. 【Challenges】 - We want to automate and reduce manpower for inspections currently done visually. - Inspection using AI is difficult for small lot, diverse manufacturing. - We want to classify defects by type, such as scratches and discoloration. - Light reflects off the product, leading to false detections. 【Verification Details】 - Captured images using special lighting. - Used this product to address defect classification. *For more details, please refer to the PDF document or feel free to contact us.

  • Visual Inspection Equipment

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Appearance inspection of toothbrushes [Free verification conducted]

Appearance inspection of toothbrushes [Free verification conducted]

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 appearance inspection system "NuLMiL." It can be applied to the detection of defects in toothbrush products. By clearly capturing the dirty areas of the brush and the chipping of the resin parts with a microscope, we have made inspection possible. 【Challenges】 ■ We want to automate and reduce manpower for inspections currently done visually. ■ It is difficult to conduct inspections using AI for small lot, diverse production. ■ We want to classify defects by type, such as scratches and discoloration. ■ Light reflection from the product can lead to false detections. 【Verification Details】 ■ Photography with lighting tailored to the container. ■ Using inexpensive lighting and cameras to reduce implementation costs. ■ This product can accommodate diverse manufacturing and defect classification. *For more details, please feel free to contact us.

  • Visual Inspection Equipment

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Appearance inspection of sand grain contamination from shells and seaweed [Free verification conducted]

Appearance inspection of sand grain contamination from shells and seaweed [Free verification conducted]

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 detect sand particle contamination in shellfish and seaweed. By clearly capturing sand particles of about 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 detect with X-rays. ■ The judgment accuracy of existing X-ray inspection devices is low. 【Verification Details】 ■ Captured images of sand particles in shellfish and seaweed under settings suitable for detection. ■ Successfully detected sand particles in shellfish and seaweed using our product. *For more details, please feel free to contact us.

  • Visual Inspection Equipment

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"NuLMiL," an appearance inspection AI that can automatically classify defects by painting and memorizing.

"NuLMiL," an appearance inspection AI that can automatically classify defects by painting and memorizing.

Automatic appearance inspection with AI × image recognition! Achieving high defect detection accuracy with a small amount of defective and good product data through hybrid learning.

Our "NuLMiL" is an appearance inspection AI solution that learns defective patterns with each application and automatically classifies defect types. The AI, trained with color-coded image data that distinguishes each defect, automatically identifies and classifies defects based on the applied colors. Through hybrid learning of good and defective products, it achieves high detection accuracy with a small amount of defective product data, detecting not only classified defect types but also unknown defects. 【Features】 ■ Automation of sensory inspection through AI creation using limit samples and dimensional information ■ Hybrid learning of good and defective products ■ High detection accuracy with a small amount of defective product data ■ Detection of unknown defects in addition to classification of defect types *For more details, please refer to the PDF document or feel free to contact us. *Free verification is also available. Please inquire for more details.

  • Other inspection equipment and devices

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Visual inspection of plastic containers [Free verification conducted]

Visual inspection of plastic containers [Free verification conducted]

From transparent items to small ones and those with complex shapes! Here are some detection examples using NuLMiL.

We would like to introduce detection examples using the visual inspection system "NuLMiL." It can be applied to the detection of defects in plastic products. For transparent containers, by using backlighting with a light guide plate, we can clearly capture the defective parts. For small containers or those with complex shapes, we have made it possible to conduct a full inspection by rotating the container while capturing images using the IKZ-01. 【Challenges】 - We want to automate and reduce the manpower required for inspections currently done visually. - Inspection using AI is difficult for small lot, diverse production. - We want to classify defects by type, such as scratches and discoloration. - Light reflection from the product can lead to false detections. 【Verification Details】 - Capturing images with lighting tailored to the container. - Using inexpensive lighting and cameras to reduce implementation costs. - Utilizing this product to accommodate diverse production and defect classification. *For more details, please refer to the PDF document or feel free to contact us.

  • Visual Inspection Equipment

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Appearance inspection of wall materials and boards (classified by type of defects) [Free verification conducted]

Appearance inspection of wall materials and boards (classified by type of defects) [Free verification conducted]

Successfully classified cracks, scratches, dirt, and polishing unevenness in wall and panel materials! Capable of handling sizes from A4 to 3m! Here are some detection examples using NuLMiL!

We would like to introduce a detection case using the appearance inspection system "NuLMiL." It can be applied to the detection of defects in wall materials and panel materials. In the verification, images captured using a line sensor camera and bar lighting were used to train and judge against calcium silicate board materials, successfully classifying cracks, scratches, dirt, and polishing unevenness. 【Challenges】 - We want to automate and reduce labor for inspections currently done visually. - AI inspection is difficult for small lot, diverse manufacturing. - We want to classify defects by type, such as scratches and discoloration. - There is variability in inspection standards among inspectors. 【Verification Details】 - Images were captured using a line sensor camera and bar lighting. - This product was used to correspond to defect classification. *For more details, please refer to the PDF document or feel free to contact us.

  • Visual Inspection Equipment

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Visual inspection of fish bone remains [Free verification conducted]

Visual inspection of fish bone remains [Free verification conducted]

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.

  • Visual Inspection Equipment

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