We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Inspection Systems.
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Inspection Systems Product List and Ranking from 285 Manufacturers, Suppliers and Companies

Last Updated: Aggregation Period:Oct 29, 2025~Nov 25, 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:Oct 29, 2025~Nov 25, 2025
This ranking is based on the number of page views on our site.

  1. エーディーディー Kyoto//software
  2. 山善 Osaka//Trading company/Wholesale
  3. サン情報サービス 東京支社 Tokyo//others
  4. 4 シリウスビジョン(旧ナビタスビジョン) Kanagawa//Testing, Analysis and Measurement
  5. 5 テクノス Tokyo//Industrial Machinery

Inspection Systems Product ranking

Last Updated: Aggregation Period:Oct 29, 2025~Nov 25, 2025
This ranking is based on the number of page views on our site.

  1. AI Image Inspection Device "EYEbeGenesis" 山善
  2. Solving the challenges faced by medical laboratory technicians and administrators in healthcare settings! Clinical testing system. サン情報サービス 東京支社
  3. [Case Study] One-Shot 3D Shape Measuring Instrument 'VR-3200' ブル精密 (株)ブル精密 本社
  4. 4 CT scanning system 'YXLON FF35 CT' Comet Technologies Japan K.K. Comet Yxlon
  5. 5 Clinical Testing System "ALCS" ONODERA Creative&Technology (旧 株式会社サイス) 第一ITソリューション事業本部

Inspection Systems Product List

631~645 item / All 675 items

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AI Inspection System "AI Hayabusa" for Semiconductor Manufacturing

Automating visual inspections to improve productivity and quality!

Pattern defect detection in semiconductor manufacturing often relies on visual inspections by skilled workers, leading to challenges such as quality variations due to labor shortages and discrepancies in inspector skills. "AI Hayabusa" is an inspection system that automates visual inspections using AI and image processing technology. It accommodates inspections of complex-shaped components, achieving stable inspection accuracy and labor savings. 【Usage Scenarios】 - Pattern defect detection in semiconductor manufacturing - Inspection of complex-shaped components - Detection of fine scratches and defects - Resolution of quality variations due to discrepancies in inspector skills 【Benefits of Implementation】 - Increased productivity: Automating inspection processes that relied on manual labor significantly reduces time. - Improved quality: Stable inspection accuracy through AI helps suppress the occurrence of defective products. - Cost reduction: Reduces labor costs and the time and costs associated with inspections. - Reduced burden on inspectors: Alleviates the burden of visual inspections by skilled workers, allowing them to focus on more advanced tasks.

  • Image analysis software

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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 faster 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.

  • Flaw detection testing

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Appearance Inspection and Surface Inspection System 'N-Vision'

Automate appearance and surface inspections! Reduce misjudgments with optimal image processing. We are currently offering a collection of case studies!

"The accuracy of visual inspection is unstable..." "There are many misjudgments in surface inspection..." The solution to these concerns is the image processing system 'N-Vision'. This system selects equipment tailored to the inspection targets and work shapes, creating a custom visual and surface inspection system for each customer. Before implementation, we conduct image sample evaluations and provide the results in a report, allowing you to consider the introduction with peace of mind. 【Features】 ■ Directly addresses the challenges of visual and surface inspection ■ Easy operation for anyone with a built-in operation guide app ■ Flexible custom design according to inspection targets and environments ■ One-stop support from design to manufacturing and installation By transitioning from manual inspection to automation, we achieve improved inspection accuracy, work efficiency, and cost reduction simultaneously. *For more details, please download the catalog.

  • 004-検査(寸法測定-合否判定).jpg
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  • 007-検査(形状姿勢認識).jpg
  • 009-検査(OCR認識).jpg
  • N-DesktopVision メイン画像.jpg
  • 012-自動化対応.jpg
  • Other image-related equipment

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"N-Vision System" that does not miss scratches in visual inspection.

Automating scratch detection in visual inspections! Reducing misjudgments and achieving high-precision inspections. A collection of case studies is currently available!

"Many scratches are missed during visual inspections..." "Judgment varies, leading to decreased production efficiency..." The image processing system 'N-VisionSystem' solves these visual inspection issues. This system selects the optimal equipment tailored to the inspection targets and work shapes, building a custom appearance inspection and scratch detection system for each customer. Before implementation, we conduct image sample evaluations and submit the results as a report, allowing you to consider the implementation with confidence. [Features] ■ Proposes scratch detection algorithms specialized for appearance inspection ■ Easy operation with a built-in app for operation guidance ■ Flexible custom solutions according to inspection content and environment ■ One-stop support from design, manufacturing, to installation We contribute to improving quality, enhancing scratch detection, and achieving efficiency and cost reduction while balancing the accuracy of appearance inspections. *For more details, please download the catalog.

  • 004-検査(寸法測定-合否判定).jpg
  • 005-検査(キズ欠け合否判定).jpg
  • 006-検査(有無サイズ認識).jpg
  • 007-検査(形状姿勢認識).jpg
  • 009-検査(OCR認識).jpg
  • N-DesktopVision メイン画像.jpg
  • 012-自動化対応.jpg
  • Other image-related equipment

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Microbial rapid testing system that completes bacterial tests, which typically take 2 to 3 days with culture methods, in half a day!

Capture live bacteria in real-time using a unique measurement method! Quickly understand the results of contamination risks in production lines and the risk of product quality defects.

"ELESTA(R) PixeeMo(R)" is a microbial contamination risk monitoring system that allows for easy measurement of microorganisms, even in the presence of food-derived contaminants, based on the unique micro-separation technology "AMATAR(R)." Depending on the analysis conditions, it can evaluate live bacteria in real-time, enabling faster bacterial testing compared to conventional culturing methods. As a result, it allows for quick understanding of contamination risk and product quality issues on production lines, leading to reduced waste of raw materials and products, improved safety, and stable product manufacturing. It is suitable for safety and hygiene management in food and beverage factories, hospitals, and more. *Demonstrations are available for companies considering implementation. Please contact us via the form below for more details. 【Features】 ◆ Selectively captures and concentrates only live bacteria from liquid or solid samples! ◆ Choose between total bacterial count evaluation or individual evaluation of live and dead bacteria based on settings! ◆ Sample setup can be completed in three easy steps! ◆ Customization is possible to meet specific requests! *We are currently offering a catalog featuring examples of microbial measurements! Please download it for more information.

  • Other measurement, recording and measuring instruments
  • Separation device
  • Concentration Equipment

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Easy for beginners with a 3-step operation! Rapid Microbial Testing System.

Operable in just three simple steps! This is a testing system that can quickly isolate, capture, and measure live microorganisms.

The microbial rapid testing system 'ELESTA(R) PixeeMo(R)', equipped with our proprietary filter technology "AMATAR(R)", is a new rapid testing system that can measure bacteria even in the presence of food-derived contaminants. It allows for the rapid detection of microbial contamination in manufacturing environments and products/samples, minimizing the costs of product disposal or recall, as well as keeping the inventory of intermediate products to a minimum, considering inspection dates! Under certain conditions, it can evaluate live bacteria in real-time, making it suitable for hygiene management in factories and hospitals (such as swab tests). 【Features】 ◆ It can selectively capture and concentrate live bacteria from both liquid and solid samples! ◆ No culturing is required, so there’s no need to wait 2-3 days for results! ♦ No specialized knowledge is needed. Anyone can operate it easily! *We also offer demonstrations for companies considering implementation. Please contact us via the form below for more details.

  • Other measurement, recording and measuring instruments
  • Separation device
  • Concentration Equipment

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Case study of an 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 development has achieved an improvement in inspection accuracy (from 60% to 99%) and reduced the burden on inspectors who previously conducted visual inspections. 【Problems with the Conventional Detection System】 ■ Difficulty in quantifying image color and other attributes ■ Ambiguity in standards due to human determination of thresholds ■ Inspection accuracy of around 60% ■ Final confirmation by inspectors through visual checks 【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
  • Other inspection equipment and devices
  • Image Processing Software

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

We will 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
  • Image Processing Software
  • Other inspection equipment and devices

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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 characteristics ■ Ambiguity in standards due to human determination of thresholds ■ The need for final visual confirmation by inspectors 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
  • Image Processing Software
  • Other inspection equipment and devices

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Road Surface Inspection Compact Unit PG-4

A compact road surface inspection system that can be mounted on various vehicles, allowing for efficient road surface condition surveys while driving at high speeds.

◆High-speed and high-precision image quality It is possible to capture high-definition images while driving at high speeds (up to 100 km/h). No vehicle restrictions are necessary. ◆Compatible with general vehicles A compact unit equipped with high-definition lasers and cameras can be installed on various vehicle types. It enables shooting and recording while driving at high speeds (up to 100 km/h), eliminating the need for vehicle restrictions and successfully reducing on-site work time. ◆Operational at any time of day or night By employing a unique filter and IR laser, it is less affected by sunlight, allowing for capturing images at any time of day. ◆Improved work efficiency and fair evaluation through automated analysis Automatic extraction of cracks, potholes, and ruts has been achieved. Inspection results can be saved as digital data along with geographic data, making it easy to compare deterioration over time. ◆Rich options for additional systems By adding options such as roadside monitoring cameras (front, left, right), infrared cameras, and flatness (IRI) measurement units, more detailed analysis can be performed.

  • Other inspection equipment and devices

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Railway Tunnel Inspection System TM-270

Achieving high precision, low cost, and short time for tunnel inspections - Detecting high-precision cracks through running photography on the tracks using a compact scanner unit.

◆Supports various tunnel shapes Due to its flexible design, it can measure various tunnel shapes such as single track/multi track, horseshoe shape/circular, etc. ◆Imaging speed Can be used with a hand cart (walking speed up to 20 km/h) or with an additional option for a powered cart (up to 30 km/h). ◆Excellent portability, allowing for quick assembly and disassembly Can be hand-carried to the site, and can be assembled by two workers in about 30 minutes. ◆High-precision images Utilizes a high-precision color line camera and an encoder that follows variable speeds, ensuring no fine cracks are missed. ◆Versatile analysis software Employs technology developed in image processing software to create restoration images and accurately measure crack widths. ◆Analysis results can be output to external data Damage diagrams, crack information, and area information of damaged locations can be output in various formats such as image format, CAD (DXF format), and CSV format.

  • Other inspection equipment and devices

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[Must-see for Appearance Inspection Personnel] Free distribution of a collection of frequently asked questions during appearance inspections!

We will provide a free document that collects frequently asked questions such as 'Is it possible to conduct inspections with a sense close to human vision?' and 'Is testing possible when introducing it?'

Are you facing any of the following issues in your visual inspection process? ■ Relying on skilled inspectors... ■ Struggling with the training and hiring of inspectors... ■ Inconsistent inspection quality... These concerns may be resolved by automating the visual inspection process. For those responsible who may have uncertainties such as "I'm worried about implementing it suddenly" or "What should I prepare?", we have created a document summarizing frequently asked questions and their answers that we often receive. To alleviate your concerns about automating visual inspections, we are offering a document that compiles many of the questions and answers we receive, free of charge. Please download it from the link below! By automating the visual inspection process, you can achieve: - Reduction in manpower and improvement of the workplace environment - Cost savings - Prevention of human errors - High precision in inspections and many other benefits. For more details, please check the PDF download or feel free to contact us.

  • Other industrial robots

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AI automatic visual inspection system capable of real-time defect classification.

High-precision image recognition with easy operation! This is an AI automatic visual inspection system that can detect product abnormalities and defects, achieving improvements in quality and production efficiency.

Our "NuLMiL" is an AI automatic visual inspection system that learns defective patterns with each application and automatically classifies types of defects. The AI, trained with color-coded image data differentiated for each type of 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 to build a model for evaluating the appearance of products. This enables high detection accuracy with a small amount of defective product data, allowing for the classification of defect types as well as the 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 from holes in metal parts, and scratches on aircraft coatings. 【Features】 ■ Deep learning for good and defective product training ■ High-precision detection 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.

  • Other inspection equipment and devices

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Market Size Analysis Report of Baggage Security Inspection Systems

It is projected to reach 5.91 billion dollars by the end of the forecast period in 2032.

The global market size for checked baggage security screening systems is estimated to reach 4.35 billion USD by 2025. The global revenue is projected to grow at a high compound annual growth rate (CAGR) of 4.5% by the end of the forecast period in 2032, reaching 5.91 billion USD. The checked baggage security screening systems market plays a crucial role in ensuring aviation safety by automatically scanning checked baggage to detect prohibited items, explosives, weapons, and other threats. These systems are integrated into baggage handling systems (BHS), allowing for rapid, non-intrusive, and thorough inspections without causing delays to flight schedules. Regulations set by aviation authorities such as TSA, ICAO, and ECAC further promote the upgrade and new implementation of advanced security screening platforms worldwide. [Contents] - Market Overview - Market Share Forecast until 2034 (by Product Type, Application, End User, Technology, Distribution Channel) - Regional Market Share Forecast until 2034 - Latest Industry Trends

  • Other security and surveillance systems

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