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Inspection Systems Product List and Ranking from 286 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. エーディーディー Kyoto//software
  2. フロンティアシステム Shiga//Testing, Analysis and Measurement
  3. 山善 Osaka//Trading company/Wholesale
  4. 4 Comet Technologies Japan K.K. Comet Yxlon Kanagawa//Testing, Analysis and Measurement
  5. 5 テクノス Tokyo//Industrial Machinery
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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. AI Image Inspection Device "EYEbeGenesis" 山善
  2. [Case Study] One-Shot 3D Shape Measuring Instrument 'VR-3200' ブル精密 (株)ブル精密　本社
  3. CT scanning system 'YXLON FF35 CT' Comet Technologies Japan K.K. Comet Yxlon
  4. Artificial Intelligence Inspection System "AI Hayabusa" ミラック光学
  5. 4 File comparison software "Diff Doc" エーディーディー

Inspection Systems Product List

136～150 item / All 676 items

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Card inspection device [Card cleaning and inspection device]

Card inspection device [Card cleaning and inspection device]

A device for inspecting and cleaning the appearance of cards embedded with IC chips.

The inspection results, text data, and image files will be output to external devices. ◇ Takt time: 4,000 sheets/hour (0.9 sec/sheet) ◇ Front and back appearance inspection: using a suction conveyor and line camera ◇ Defective card ejection function Our company provides a comprehensive service from the development and design of FA equipment to assembly adjustments, installation, and maintenance or improvement and modification proposals after delivery!

  • Other assembly machines

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Color Identification Inspection Device TFI-001P

Color Identification Inspection Device TFI-001P

Easily achieve flexible inspections like visual checks. Instantly detect products that do not meet shipping standards.

With just one missing ingredient, you may lose important trust. With TDI-P's "Color Discrimination Inspection Device," products that do not meet shipping standards are detected instantly. It automatically inspects irregularly shaped missing ingredients, such as the contents of food. After image inspection, it can sort good and defective products and eliminate defective ones. Inspections can be conducted simply by adding cameras, lighting, and sensors to existing production lines. For more details, please contact us or refer to the catalog.

  • Other inspection equipment and devices

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System House Create Clinical Testing System

System House Create Clinical Testing System

It is making a big impact in clinical laboratories at hospitals across the country.

Real-time online processing with various analysis instruments is possible, along with printing and management of specified reports and summary reports. It will be integrated with various electronic medical records and ordering systems.

  • Other core systems

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AI-equipped appearance inspection system 'SSC-V2020'

AI-equipped appearance inspection system 'SSC-V2020'

Supply, store, and classify thin products such as substrates and pallets! Appearance inspection system compatible with sizes 75 to 120.

The "SSC-V2020" is an artificial intelligence (AI) equipped visual inspection system that reduces human visual inspections and achieves stable quality control. It employs a dual-arm SCARA robot, allowing for efficient operations using two arms in a compact space. The supply unit and storage unit can handle intermediate input and output of magazines and pallets, and support recipe barcode management and RFID management. 【Features】 ■ AI-equipped visual inspection - Reduces human visual inspections - Stable quality control (pass/fail judgment) ■ Adoption of dual-arm SCARA robot - A coexistence robot that allows humans and robots to work together in the same space - Customizable hands to fit product sizes *For more details, please refer to the PDF document or feel free to contact us.

  • SCARA Robot
  • Visual Inspection Equipment

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Operation History Management System

Operation History Management System

Collect, analyze, and record operational data from the in-vehicle drive recorder, and automatically generate reports based on the recorded data.

Analyze GPS coordinates and vehicle speed pulse values to display the vehicle's patrol locations as addresses through reverse geocoding. Analyze acceleration sensor values and door sensor values to determine sudden acceleration, sudden deceleration, sharp turns, and door openings/closings, and record them. Analyze vehicle speed pulse values to create speed graphs and travel distance graphs. *For more details, please contact us.*

  • Other operation management software

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Image processing technology: software, algorithms, applications

Image processing technology: software, algorithms, applications

We provide advanced image processing technology, making complex image processing easy with artificial intelligence.

We provide image processing products that meet customer needs in various optimal software forms. Utilizing algorithms based on mathematics, we achieve advanced image processing and deeply explore image processing technologies that are effective in a wide range of general fields. Whether you want to use something immediately, need specialized solutions, seek support for image processing, want to create everything yourself, or wish to develop your own applications, please feel free to consult us about image processing technology. For more details, please download the catalog or contact us.

  • Image Processing Software
  • Image analysis software

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Lens distortion correction library

Lens distortion correction library

It is a software library for correcting lens distortion (barrel and pincushion types).

You can accurately measure the measurement target at the edge of the screen, allowing you to use the entire screen. Distortion correction is possible with just a single image capture. By inputting the captured image memory, you can obtain the image after distortion correction. Additionally, it is also possible to convert the position data measured by the customer into position data after distortion correction. We handle the distortion correction library independently, so it can be integrated in a short time without making significant changes to your current system.

  • Image Processing Software

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[AI Image Inspection Case] Detection of Coating Defects

[AI Image Inspection Case] Detection of Coating Defects

This is a case study of inspection for painted parts used in interior decoration! Our image inspection system has been adopted by various paint manufacturers.

This is a request for verification of painted parts used in the interiors of luxury cars. The increase in inquiries about "paint defects" is one example of this trend. Various paint manufacturers have adopted our image inspection technology. We offer a "simple evaluation service" free of charge, provided by our technical staff. If defects or judgments can be detected during the simple evaluation, we recommend conducting a "feasibility verification" test that simulates actual operations to evaluate processing time and judgment accuracy. Additionally, we can lend demo units free of charge, allowing users to experience the deep learning inspection software firsthand. By using DeepSky's inspection capabilities, inspections were possible. The workpieces to be inspected are conveyed on a conveyor, and one side is magnified for imaging. Adjusting the lighting when imaging painted products is a key point.

  • Visual Inspection Equipment

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[AI Image Inspection Case] Wood Dimension Measurement Verification

[AI Image Inspection Case] Wood Dimension Measurement Verification

Instantly determine the dimensions of wood using AI image inspection!

A request for dimensional inspection has come from a wood processing machinery manufacturer. Recently, due to the impact of declining birth rates and an aging population in various fields, securing skilled workers has become a significant social issue. It seems that the opportunity has arrived to survive and grow businesses by entrusting inspections and judgments to image analysis instead of relying solely on human visual inspection. [Inspection Settings and Results] By using EasyInspector's "Dimensional Angle Inspection" feature, we were able to determine the dimensions at four locations in 0.72 seconds. We set up inspection frames to detect the edge portions when measuring the dimensions of each part. The background was made white to facilitate edge detection. The greater the contrast in brightness, the easier it is to detect edges. To prevent shadows, the lighting is positioned to illuminate from both sides. The left image shows the master image (with the inspection area outlined in pink and green), while the right image displays the detection of good products with a blue detection frame.

  • Visual Inspection Equipment

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【AI画像検査事例】金属加工品を識別

【AI画像検査事例】金属加工品を識別

金属加工品の穴の有無や位置の違いを検出し、見た目の似通った異品を判定します！

次のような内容がホームページのお問合せフォームに届きました。 『金属加工物の識別を行いたいです（10cm程度の円板状加工物に、内部円周状に加工後が有るものと、無い物）カメラのリアル撮影時に、物体Aと物体Bを識別したいのですが、正確に同じ位置には設置できない状況です。 撮影には1秒程度停止を持てるのですが、このような条件で製品検査が可能でしょうか？ 使用環境は加工機がある、工場内です。』 【検査設定と検査結果】 EasyInspectorの「マスター画像との比較」機能を使用することにより1カ所の穴の有無や位置の違いを検出し、見た目の似通った類似品（異品）を1秒未満で判定することができました。 左の画像はマスター画像（設定画面）桃色の線で検査部分を指定しています。 使用ソフト：EasyInspector 現行『EasyInspector2』colorパッケージ【マスター画像との比較】で検査できます。

  • Image Processing Software

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[AI Image Inspection Case] Presence or Absence Inspection of Parts

[AI Image Inspection Case] Presence or Absence Inspection of Parts

We will determine the presence or absence of plastic parts balls!

We have received many inquiries from industrial equipment manufacturers regarding various case studies. This time, we attempted to set up a test to determine the presence or absence of plastic parts (balls). The cases introduced on this site are for simple verification. We prepare lighting, cameras, lenses, etc., to test whether we can detect the defects we want to see. Typically, we request about two types of samples and detection targets. Since simple verification is a task to confirm the feasibility of detection, quantitative evaluations such as detection accuracy using a large number of samples and the correlation between image resolution and detection accuracy are generally not included. [Inspection Setup and Results] We conducted an inspection of the presence or absence of parts (balls) using the samples you provided. By using ring lighting to make the balls appear black, we were able to determine the presence or absence of the five parts in 0.14 seconds using EasyInspector's "specified color presence check" function.

  • Image Processing Software

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[AI Image Inspection Case] Cable Twisting Inspection

[AI Image Inspection Case] Cable Twisting Inspection

We will conduct an inspection to check if the two-tone cable is twisted!

I inspected whether the cable was implemented correctly. 【Inspection Settings and Results】 By using the "Color Comparison Inspection / Presence of Specified Color Inspection" feature of EasyInspector, I was able to determine the twist in less than one second. The inspection frame was created to be long and narrow, arranged vertically with six frames from the left. 【Software Used】 Software Used: EasyInspector310 Number of Inspection Points: 6 The current 'EasyInspector2' color package can be used for the presence of specified colors inspection.

  • Image Processing Software

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[AI Image Inspection Case] Seal Dimension Inspection

[AI Image Inspection Case] Seal Dimension Inspection

The AI image inspection software measures the dimensions of the labels attached to the parts.

This time, we received an inquiry from a contract analysis company. Work size: approximately 100mm × 100mm. Seal size: approximately 10mm (width). We created a model and conducted a simple verification. In cases where we receive inquiries, there are many instances where we cannot send sample products or sample images due to compliance and security concerns. [Inspection Settings and Results] Using EasyInpector's "Dimension Angle Inspection," we referred to the materials you provided and measured the tolerances with the seals applied by our company. This time, we measured only one location for each seal, but it is actually possible to measure four points simultaneously. We used a 5-megapixel camera (2592 × 1944) with a field of view of 180mm horizontally, capturing images of a 100mm × 100mm metal plate. We measured by applying two seals, each 10mm wide. There was some slight shaking during imaging, resulting in an error of 3 to 4 pixels, but detection with an accuracy of 0.5 to 0.7mm in tolerance is theoretically possible. Increasing the camera resolution will improve accuracy further.

  • Image Processing Software

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[AI Image Inspection Case] Inspection of Presence or Absence of Parts in a Bag

[AI Image Inspection Case] Inspection of Presence or Absence of Parts in a Bag

We will inspect the bag containing eight types of stationery and make a judgment!

We received a request for a free evaluation from an industrial machinery manufacturer to check if there are any omissions in the stationery set packed in the bag. We will inspect whether there are eight types of stationery inside the bag. Although this time it was stationery, this is an example of an application that can be used in various industries, such as checking if assembly parts are complete or if the instruction manual is included. 【Inspection Settings and Results】 Detection was possible as long as the characteristic parts of the work were not hidden. However, there were cases where detection was not possible if the bag was directly under the reflection, so it is stable to place it under the camera with as few wrinkles in the bag as possible. We were able to distinguish the eight types of work that should be inside the bag effectively. The image shows the inspection screen displaying the judgment result table. In the right image, the missing "instruction manual," labeled "B," is highlighted in red.

  • Image Processing Software

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[AI Image Inspection Case] Inspection of Knots and Roughness on Kamaboko Boards

[AI Image Inspection Case] Inspection of Knots and Roughness on Kamaboko Boards

This is a judgment for inspecting defects such as knots and roughness on the surface when cutting the kamaboko board.

During the inspection stage of wood cutting, you were considering cutting a board measuring 2m in length and a certain width from 5mm to 160mm while avoiding defective parts and cutting at the right timing. 【Inspection Settings and Results】 For knots, we used the "Color Comparison Inspection / Presence or Absence of Specified Color" function of EasyInspector. The specified color was set to the color of the knots. An inspection frame the size of one kamaboko board was set from the edge of the board, and this area was divided into four parts for the presence or absence color inspection. To capture the roughness of the board, we dimmed the indoor lighting and illuminated it from an angle, which allowed us to detect the roughness. The inspection item was "Scratch Inspection." No alignment correction was applied for the inspection of the flowing boards.

  • Image Processing Software

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