Inspection Systems Product List and Ranking from 94 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Nov 05, 2025～Dec 02, 2025
This ranking is based on the number of page views on our site.

Inspection Systems Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Nov 05, 2025～Dec 02, 2025
This ranking is based on the number of page views on our site.

  1. GRIFFY Tokyo//others
  2. オーディーエム Shizuoka//Building materials, supplies and fixtures manufacturers
  3. レックス Hyogo//Service Industry
  4. 4 クラボウ（倉敷紡績株式会社） Osaka//Building materials, supplies and fixtures manufacturers
  5. 4 山善 Osaka//Trading company/Wholesale
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Inspection Systems Product ranking

Last Updated： Aggregation Period:Nov 05, 2025～Dec 02, 2025
This ranking is based on the number of page views on our site.

  1. Reinforcement Inspection AR System 'BAIAS' [NETIS Registered] GRIFFY
  2. Dynamic Seismic Testing System オーディーエム
  3. Connect even outside of communication areas! Remote inspection system for underground channels. GRIFFY
  4. 4 Portable Welding Inspection System "Wiki-Scan" Rental レックス
  5. 4 AI Image Inspection Device 'EYEbeGenesis' 山善

Inspection Systems Product List

166～172 item / All 172 items

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Inline Non-Destructive Testing System "Phased Array Ultrasonic Flaw Detector"

Inline Non-Destructive Testing System "Phased Array Ultrasonic Flaw Detector"

Achieving more accurate and rapid inspections! A 64-channel portable phased array ultrasonic testing device that integrates many capabilities.

The inline non-destructive testing system "TOPAZ64" is a 64-channel portable phased array ultrasonic testing device manufactured by ZETEC, equipped with TFM functionality. It achieves more accurate and rapid inspections with the required capabilities integrated into a single unit! It supports inspections compliant with the 64/128PR phased array ultrasonic testing method, as well as high-resolution full matrix capture (FMC). Even when inspecting complex composite materials or thick steel welds, it provides superior coverage. 【Features】 ■ Equipped with UltraVision Touch software ■ Addresses various inspection needs and challenges ■ Powerful channel configuration ■ High resolution, higher performance ■ Improves defect detection probability *For more details, please refer to the PDF document or feel free to contact us.

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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 1 of AI Image Inspection Service: Development of AI for Diagnosing Exterior Wall Crack Images

Case Study 1 of AI Image Inspection Service: Development of AI for Diagnosing Exterior Wall Crack Images

We would like to introduce a case where our AI image inspection service has achieved the refinement, standardization, and efficiency of exterior wall crack inspection operations.

Rist has developed a system in collaboration with Tokyu Livable, Inc., a real estate company, and Japan Home Shield, Inc., which specializes in ground surveys and building inspections, to diagnose cracks in the exterior walls and foundation of used houses based on certain standards using AI. (Patent obtained) 【Challenges】 ■ Since the evaluation is based on visual inspection and judgment by inspectors (humans), there can be variations in the assessment. ■ To ensure inspection accuracy, double-checking is conducted in the back office. ■ To maintain inspection quality, it takes several days from on-site inspection to final evaluation. We have resolved 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
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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
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Combination of Keyence's XG-X and Toshiba's proprietary AI image inspection technology.

Combination of Keyence's XG-X and Toshiba's proprietary AI image inspection technology.

A hybrid approach to solving challenges in the implementation of rule-based appearance inspection systems.

In the automation of visual inspection, rule-based automatic inspection has been mainstream, but there are challenges such as: - Requires specialized knowledge (personalization) - Time-consuming to set up - Cannot suppress over-detection By combining the Meister Apps AI image automatic inspection package with the Keyence image processing system XG-X, it is possible for anyone to easily set up in a short time and suppress over-detection through automatic threshold optimization. Additionally, it can be easily implemented retroactively without affecting operations, contributing to the improvement of current inspection accuracy.

  • Other analytical equipment

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AI Rebar Measurement - AIJO Rebar King Trial Campaign

AI Rebar Measurement - AIJO Rebar King Trial Campaign

Would you like to try rebar inspection using AI? It's available at an affordable price for a limited time of two weeks!

"There are various rebar inspection systems, but which one is the best?" "I want to compare it with other companies' rebar inspection systems." "I'd like to try it out a bit before fully implementing it." For those of you who are thinking this way, we are running a campaign where you can easily try out AIJO Rebar King for 50,000 yen for two weeks. Please click on 'Contact Us via Web' and let us know when you would like to start using it, among other details.

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  • Measurement and analysis equipment leasing and rental

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[Development Case] Cellular Immune Testing System <Medical>

[Development Case] Cellular Immune Testing System <Medical>

Cell data distribution analysis and report output! Requests and reports are executed via FTP to the host.

We would like to introduce a case study of software development conducted by our company. Development of a cellular immune testing system for medical use. Distribution analysis and report output of numerous cell data from flow cytometry. Requests and reports are conducted via FTP to the host. Please feel free to contact us if you have any inquiries. 【Case Overview】 ■ Environment: Mac/Win C/S ■ 4D+C++ *For more details, please download the PDF or feel free to contact us.

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