We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Visual inspection.
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Visual inspection Product List and Ranking from 49 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated: Aggregation Period:Apr 15, 2026~May 12, 2026
This ranking is based on the number of page views on our site.

Visual inspection Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Apr 15, 2026~May 12, 2026
This ranking is based on the number of page views on our site.

  1. Anamorphosis Networks Kyoto//IT/Telecommunications
  2. スカイロジック Shizuoka//software
  3. null/null
  4. 4 M&M Solutions 事務所 Chiba//software
  5. 5 株式会社Roxy Aichi//IT/Telecommunications

Visual inspection Product ranking

Last Updated: Aggregation Period:Apr 15, 2026~May 12, 2026
This ranking is based on the number of page views on our site.

  1. Ultra-high-performance edge device 'AMOS-9100' M&M Solutions 事務所
  2. Appearance inspection using damage detection mode.
  3. AI Count App 'cazoeTell' スカイロジック
  4. Accident Prevention and Work Efficiency: Tool Count AI App ソホビービー
  5. 4 Automatic Count AI App "FlashCount" Anamorphosis Networks

Visual inspection Product List

91~95 item / All 95 items

Displayed results

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
  • Visual inspection

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NuLMiL for Metalworking

An AI that learns directly from defective samples! Automating visual inspection of metal surfaces.

In the metal processing industry, early detection of surface defects is essential to maintain product quality. In particular, surface defects such as scratches, dents, and foreign matter adhesion not only impair the performance and appearance of products but can also lead to customer complaints. NuLMiL is an appearance inspection AI that can automatically classify defect types simply by highlighting the defective areas. By automating visual inspections, it achieves greater inspection efficiency and stabilizes quality. 【Usage Scenarios】 - Manufacturing processes of metal parts - Inspection processes after surface treatment - Quality inspection of final products 【Benefits of Implementation】 - Reduction of inspection time - Improvement of inspection accuracy - Prevention of defective products from being released - Reduction of inspection costs

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  • Visual Inspection Equipment
  • Visual inspection

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Visual inspection of cut vegetables, dried fruits, and almonds.

Detection of abnormalities that color sorters could not identify, such as food crop decay, insect damage, pinholes, chips, scratches, and shape defects, is also possible!

Our "Appearance Inspection Solution TESRAY G Series" conducts inspections using AI during the brief moment when the inspection target falls through the air, allowing for the expulsion and sorting of defective items before they land. By enabling AI to learn the concept of the inspection target, we can detect abnormalities that traditional rule-based technologies could not identify. 【Examples of detectable abnormalities】 Cut vegetables: - Decay (items with colors similar to normal parts) - Insect damage - Shape defects, etc. Nuts abnormalities: - Shape abnormalities due to underdevelopment - Very small pinholes caused by insect damage - Insect residue (remnants or secretions from insect damage) Dried fruits and other dried items abnormalities: - Surface mold - Foreign matter contamination from similar plants, etc. - Localized deformation due to insect or mold effects 【Ability to aggregate detected defects】 - Detected abnormalities can be aggregated by type of defect. This allows for feedback of information to the supplier. 【Ability to adjust yield rates】 - Abnormalities can be categorized by level, allowing for decisions on whether to expel items based on level, thus enabling yield rate adjustments.

  • Visual Inspection Equipment
  • Visual inspection

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[Must-see for overseas circuit board trading companies] Circuit board selection service for the same location, same item, etc.

Our employees, who are experts in substrates, will solve your company's problems!

Our company conducts inspection and processing of printed circuit boards. Using microscopes/magnifying glasses, we perform visual inspections of PWBs (printed circuit boards) for automotive, industrial, and semiconductor components based on customer specifications to determine their quality. We have also introduced automatic visual inspection equipment (AVI). The inspection environment is maintained at a cleanliness level of approximately 10,000, equipped with air cleaners and air showers. 【Features】 ■ We can handle inspections and sorting of small parts that require microscopes or magnifying glasses, not just circuit boards. ■ For tasks other than inspection, we have partner companies both domestically and internationally, allowing us to propose total support for printed circuit board design (domestic), manufacturing (domestic and international), assembly (domestic), etc. *For more details, please download the PDF or contact us.

  • Circuit Board Inspection Equipment
  • Visual inspection

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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
  • Visual inspection

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