Image Inspection System Product List and Ranking from 5 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

Image Inspection System Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. 山善 Osaka//Trading company/Wholesale
  2. アイルミッション Kanagawa//Information and Communications
  3. ジャパンシステム Tokyo//Information and Communications
  4. 4 協立電機 Shizuoka//Information and Communications
  5. 4 Rist Kyoto//Information and Communications
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Image Inspection System Product ranking

Last Updated： Aggregation Period:Sep 17, 2025～Oct 14, 2025
This ranking is based on the number of page views on our site.

  1. AI Image Inspection Device 'EYEbeGenesis' 山善
  2. AI image inspection system & automation of water quality testing with AI アイルミッション
  3. Image Inspection System 'CLIP' ジャパンシステム
  4. AI Image Inspection System - Mirror Surface Inspection Process Rist
  5. 4 Case study of image inspection system using AI: Surface inspection process of mirrors. Rist

Image Inspection System Product List

1～7 item / All 7 items

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Image Inspection System 'CLIP'

Image Inspection System 'CLIP'

"Full color," "high resolution," "high speed" image analysis! For dimension measurement and LCD inspection, etc.

At Japan System Co., Ltd., we design, manufacture, and provide systems tailored to our customers' needs, focusing on image processing and automatic waveform processing judgment. 'CLIP' is a monochrome line camera with a 16K image resolution. It utilizes our developed high-brightness multi-color lighting to achieve color imaging. The inspection software can be customized according to user requests. 【Features】 ■ Monochrome line camera (16K image resolution) ■ Utilizes our developed high-brightness multi-color lighting ■ Inspection software can be customized to user requests ■ Method: RGB color light is switched at high speed while being projected onto a single line, synthesizing images of each color *For more details, please refer to the PDF document or feel free to contact us.

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AI Image Inspection Device 'EYEbeGenesis'

AI Image Inspection Device 'EYEbeGenesis'

Achieving automation of visual inspection! Image inspection system 'EYEbeGenesis' equipped with third-generation AI.

"EYEbeGenesis" is an AI image inspection system equipped with the latest third-generation AI. <Features of Third-Generation AI> Previous AI image inspection devices required a vast amount of images to be memorized due to algorithm-based judgments. However, EYEbeGenesis, equipped with third-generation AI, enables inspections that are closer to the human eye with minimal information by incorporating a unique image "augmentation feature" that was not possible with algorithms. <Package Features> To facilitate easy implementation, we have bundled the main PC, software, and essential peripherals into one package. By using versatile equipment for system configuration, it can be introduced at a lower cost and more easily than conventional products. ■ Equipped with third-generation AI ■ Constructed with minimal information ■ Capable of detection even when target work overlaps or contacts ■ Diverse inspection applications ■ Low-cost and speedy implementation possible ■ All-in-one package *For more details, please refer to the PDF document or feel free to contact us.

  • others

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AI Image Inspection System - Mirror Surface Inspection Process

AI Image Inspection System - Mirror Surface Inspection Process

By introducing the AI image inspection system, we achieved a test result accuracy of 97%! After implementing it across all lines, the number of inspection workers was reduced by 70%.

The inspection system DEEP INSPECTION improves the speed and accuracy of the entire system and reduces the burden of visual inspections. Rist has developed a mirror surface inspection system using Deep Learning technology for the product inspection process of Murakami Kaimeido Co., Ltd., which boasts a high market share in rearview mirrors. This system has achieved an improvement in inspection accuracy (from 60% to 97%) and reduced the burden on inspectors performing visual checks. Rist's approach utilizes a convolutional network for multi-class classification. They developed a unique "Deep Inspection Confidence" and achieved a testing result accuracy of 97%. 【Issues with Conventional Detection Systems】 ■ Difficult to quantify image color tones, etc. ■ Ambiguity in standards due to human determination of thresholds ■ Inspection accuracy around 60% ■ Ultimately, inspectors confirm visually 【Features】 ■ After full-line implementation, the number of inspection workers is reduced by 70% ■ With an eye on overseas expansion, the aim is to optimize upstream processes based on data obtained from the automation of inspections. *For more details, please refer to the PDF document or feel free to contact us.

  • Company：Rist
  • Price：Other
  • Analysis and prediction system

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[Work Support System] Image Poka-Yoke System

[Work Support System] Image Poka-Yoke System

Display images of genuine products and production items alternately! Easily check for excess or shortage of options and colors.

The "Image Poka-Yoke System" is a system designed to assist in distinguishing differences in product color and the installation status of optional parts by alternately displaying images of standard products and production products in a diverse and multi-option manufacturing environment. By alternating the images of standard and production products, it becomes easier to check for excess or shortage of options and to verify colors. 【Purpose of System Implementation】 ■ Easy checking of differences from standard products - We want to implement a system that allows anyone, regardless of experience, to visually identify differences. ■ Easy adaptation to new products - We want to eliminate labor-intensive tasks such as teaching and adjustments. ■ Preservation of history - We want to reliably keep logs of visual inspections and product images. *For more details, please refer to the PDF document or feel free to contact us.

  • Process Control System

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AI image inspection system & automation of water quality testing with AI

AI image inspection system & automation of water quality testing with AI

It can be judged by humans, but it cannot be accurately distinguished by conventional judgment systems. We support appearance and image inspection with AI.

◆AI Image Inspection System for Various Industries: Deep Inspection◆ ~It can be judged by humans, but conventional machine and image inspection systems struggle to distinguish it. Deep Inspection excels in such cases. As it gains experience, it improves judgment accuracy and achieves extremely high-performance rapid uniformity.~ ◆Automating "Water Quality Inspection with AI" that was Previously Done Visually: Deep Inspection Liquid◆ ~AI monitors water quality inspections that were previously conducted visually by humans. It enables real-time monitoring of suspended particles, bubbles, and wave conditions through a camera.~

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  • Water quality/pH measuring device

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Case study of image inspection system using AI: Surface inspection process of mirrors.

Case study of image inspection system using AI: Surface inspection process of mirrors.

Inspection accuracy improved from 60% to 99% by developing a system using AI deep learning technology, resulting in a reduction of visual inspection errors.

We would like to introduce a case where we developed a mirror surface inspection system using AI deep learning technology in the product inspection process of Murakami Kaimeido Co., Ltd., which boasts a high market share in rearview mirrors. This system has achieved an improvement in inspection accuracy (from 60% to 99%) and reduced the burden on inspectors who previously conducted visual inspections. 【Issues with the Conventional Detection System】 ■ Difficulty in quantifying image color and other attributes ■ Ambiguity in standards due to human determination of thresholds ■ Inspection accuracy around 60% ■ Final confirmation by inspectors through visual inspection 【Effects After Implementation】 ■ After full-line implementation, the number of inspection workers was reduced by 70% ■ With an eye on overseas expansion, data obtained from the automation of inspections can also be used to optimize upstream processes *For more details, please refer to the PDF document or feel free to contact us.

  • Company：Rist
  • Price：Other
  • Analysis and prediction system

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Case Study 2 of AI Image Inspection Service: Surface Inspection Process of Mirrors

Case Study 2 of AI Image Inspection Service: Surface Inspection Process of Mirrors

We will introduce a case where our AI image inspection service improved inspection accuracy (from 60% to 97%) and reduced the burden on inspectors through visual inspection.

Rist developed a mirror surface inspection system using Deep Learning technology in the product inspection process of Murakami Kaimeido Co., Ltd., which holds the No. 1 domestic market share in rearview mirrors. This system achieved an improvement in inspection accuracy (from 60% to 97%) and reduced the burden on inspectors who previously relied on visual checks. 【Challenges】 ■ Difficulty in quantifying image color and other attributes ■ Ambiguity in standards due to human determination of thresholds ■ The need for inspectors to ultimately verify results visually We have addressed these challenges with our AI image inspection system. *For more details, please download the PDF document or feel free to contact us.*

  • Company：Rist
  • Price：Other
  • Other Software

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