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Visual inspection software - メーカー・企業22社の製品一覧とランキング

更新日: 集計期間:Nov 19, 2025~Dec 16, 2025
※当サイトの各ページの閲覧回数を元に算出したランキングです。

Visual inspection softwareのメーカー・企業ランキング

更新日: 集計期間:Nov 19, 2025~Dec 16, 2025
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  1. スカイロジック Shizuoka//software
  2. エーディーディー Kyoto//software
  3. 藤川伝導機 Tokyo//Industrial Machinery
  4. 4 三機 Creative Lab Aichi//robot
  5. 5 株式会社Roxy Aichi//IT/Telecommunications

Visual inspection softwareの製品ランキング

更新日: 集計期間:Nov 19, 2025~Dec 16, 2025
※当サイトの各ページの閲覧回数を元に算出したランキングです。

  1. AI General Purpose Appearance Inspection Software 'EasyInspector2' スカイロジック
  2. AI visual inspection software "DeepSky" スカイロジック
  3. [AI Image Inspection Case] Reading Text on Nameplates スカイロジック
  4. 4 Appearance inspection software "MELSOFT VIXIO" 藤川伝導機
  5. 5 [AI Image Inspection Case] Tears in Shrink-Wrapped Products スカイロジック

Visual inspection softwareの製品一覧

226~240 件を表示 / 全 471 件

表示件数

Easy to implement! AI appearance inspection software 'Roxy AI'

Just select and arrange the parts. Even complex inspection sequences can be easily set up.

Are you choosing AI inspection software based solely on product price? Are you overlooking the "custom development for system integration" that is necessary during implementation? Roxy AI is equipped with a rich set of interfaces, allowing for no-code connections with many devices. Since "custom development for system integration" is not required, you can reduce the total cost of implementation. ■ Abundant input interfaces - Connects to cameras via GigE Vision, USB, and FTP - Integrates with various applications through files, APIs (C#/Python), and sockets ■ Control interfaces enabling flexible configurations - Supports EtherNet/IP and SLMP, allowing for immediate connection to PLCs - Also compatible with DIO and sockets, making integration with robots easy ■ No-code configuration - Set up complex inspection sequences easily with a simple GUI - Easily deploy AI models from the learning environment to the inspection environment ■ Further expandability - Source code for features outside the core inspection functionality is publicly available, allowing for customization - You can create add-ons to incorporate your own preprocessing and rule-based inspections * Programming is required for add-on development.

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Purchase the exterior inspection AI "Roxy AI" at a great price with the IT introduction subsidy!

A must-see for those considering the automation of quality inspection! You may be able to utilize beneficial IT introduction subsidies for the implementation of the appearance inspection software "Roxy AI"!

We have entered the process of applying for registration of "Roxy AI," a high-precision, high-speed software that can be utilized on-site, as an eligible software for IT introduction support subsidies. In the future, we aim to assist you in implementing "Roxy AI" using this subsidy. By utilizing this subsidy, you can receive up to 50% (between 50,000 and less than 1.5 million yen) of the introduction costs as a grant. Small and medium-sized enterprises and small businesses considering the automation of visual inspections and improving operational efficiency should not miss this opportunity. *We will provide further information once the registration application is officially approved. ■ About IT Introduction Subsidies A portion of the costs for introducing IT tools that match your company's challenges will be subsidized. Small and medium-sized enterprises and small businesses that introduce eligible IT tools can apply for subsidies for a portion of the introduction costs. For details on the application method and schedule for IT introduction subsidies, please visit the official website. ■ Support for Applications JTG Corporation will support various subsidy applications. There is no need to worry even if it is your first application. Please feel free to contact JTG for any inquiries. *For product details, please download the materials.

  • Visual Inspection Equipment

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[Free verification test in progress] Achieving automation of inspection processes through the use of AI.

【Free validation test currently underway!】Would you like to solve your quality inspection issues using AI?

Are you having trouble with your current quality inspections? Visual inspections and rule-based inspections can be challenging, but utilizing the latest AI algorithms may provide a solution. Our AI visual inspection software, [Phoenix Vision/Eye], offers free validation tests. You can test how high the inspection accuracy can be when using AI, tailored to the challenges you face. Additionally, if the inspection accuracy is good during the test, we can also propose the optimal equipment setup (cameras, lighting, etc.) for implementation, if needed. By providing a one-stop solution, we hope to assist you in enhancing inspection accuracy and reducing labor costs while keeping expenses and delivery times down. Please feel free to reach out to us.

  • Image Processing Software

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AI software for inspection of pressed products *Case studies available!

Reduce the man-hours for visual inspection of pressed products and improve accuracy; capable of making judgments equivalent to skilled inspectors from the day of implementation by adding an image inspection system.

This is an AI software for suppressing false positives in the inspection of pressed products. By reducing false positives based on the judgment results from the appearance inspection equipment already used by customers, it decreases the workload of visual inspections by inspectors and improves accuracy. 【Are you facing any of these issues?】 ■ You have already introduced appearance inspection equipment for pressed products, but there are many false positives, leading to accuracy problems. ■ It takes personnel and time to visually inspect the false positive items. ■ It has become difficult to secure experienced and skilled inspectors due to retirements and other factors. ■ The recruitment and training of inspection personnel have become challenges in expanding factory lines and business growth. 【Features of this solution】 ■ Can be added to existing inspection equipment, eliminating the need for expensive equipment replacement. ■ High detection accuracy made possible by AI. ■ Customizable to meet customer-specific challenges. 【Benefits of implementing this solution】 ■ Maintain the same number of inspectors while accommodating 2 to 3 times the production increase and line expansion. ■ Reflect the knowledge of skilled inspectors in AI, enabling equivalent judgment from the day of implementation. ■ Reduce the training costs for new inspectors and eliminate dependency on specific individuals.

  • Other image-related equipment
  • Image analysis software
  • Defect Inspection Equipment

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AI Appearance Inspection | HACARUS Check ZERO

Usable on-site! HACARUS's "Small Quantity Quality Product Speed Learning" AI Visual Inspection Software

HACARUS Check AI software enables high-precision visual inspections using AI. Our uniquely developed "small quantity good product speed learning" AI does not require defective product data or a GPU. It excels in inspections that were difficult with traditional rule-based methods, such as for metal plates, rubber products, fabric materials, and leather materials, and can be used without any knowledge of AI. If you are struggling with visual inspections or have existing inspection equipment and are having trouble handling AI, please feel free to contact us. If you do not have an imaging device, we can provide suggestions. ■ Features - High precision results with a small amount of good product data: just a few dozen good product images are sufficient, with learning time of only a few minutes. - Understandable AI reasoning: the reasoning behind decisions can be explained, allowing for further application and development. - Fast and low power consumption: no GPU required, can be executed in your existing environment. <Software Pricing> First year: 3 million yen Subsequent years: 960,000 yen/year

  • Software (middle, driver, security, etc.)

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[Ending March 2024] AI Appearance Inspection Software Trial Campaign

From January to March 2024, you can use the development license for 298,000 yen (tax excluded) or 327,800 yen (tax included) for a period of three months.

This is a limited-time campaign for HACARUS Check AI software. Please contact us as soon as possible. ■ About the Target Customers Those who are promoting the automation of visual inspections and have the following challenges: - Considering the introduction of AI and want to try it with reduced initial costs - Already have inspection equipment and want to improve AI accuracy - Have attempted to implement AI but could not due to reasons such as functionality or cost - Have introduced AI but are experiencing excessive detection due to temporal changes in parts ■ About HACARUS Check AI Software This is an AI visual inspection software that can repeatedly perform small quantity, good quality, and rapid learning. It can train the AI with dozens of good products in just a few minutes each day, and it can conduct inspections while minimizing excessive detection even for workpieces whose colors and shapes change over time. HACARUS's AI is based on sparse modeling technology, which extracts features from a small amount of data and performs learning and inference, compared to deep learning that requires a large amount of training data. This allows for high-precision operation with minimal data, enabling the construction and operation of systems while keeping costs and time down.

  • Image Processing Software
  • Visual Inspection Equipment
  • Defect Inspection Equipment

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Appearance inspection software "VIS ImageAnalyzer"

Let's utilize software to automate visual inspections by leveraging existing equipment!

Do you have any concerns regarding visual inspection of electronic components and semiconductor chips, such as the following? - Variability in inspection results due to operator skill levels, leading to missed defects or over-detection - Lack of established criteria for determining what constitutes a defect - Desire to implement AI, but being told that there aren't enough defective images for training - Interest in introducing high-performance visual inspection equipment, but facing high implementation costs VIS ImageAnalyzer is software that combines algorithms developed over 30 years of experience in image analysis with the latest AI and machine learning capabilities. Its AI-powered good product comparison feature is robust against the variability inherent in visual inspections and can detect defects and dirt that are difficult to identify using traditional image processing methods, even those with little contrast. Additionally, since it can be implemented using only software, you can utilize images captured with your existing equipment. This allows you to consider implementation while keeping costs down. *For more details, please refer to the PDF document or feel free to contact us.*

  • Other inspection equipment and devices
  • Visual Inspection Equipment
  • Defect Inspection Equipment

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Reducing the burden of product inspection! Anomaly detection AI appearance inspection software.

Learn only from good products, and quickly identify any abnormalities! Automating visual inspection with AI.

This is an appearance inspection software that utilizes AI anomaly detection technology. It can handle the appearance inspection of a wide variety of workpieces, including metal products, films, resin molded products, and printed materials. (Examples: scratches, foreign objects, chips, color unevenness, missing characters, etc.) By combining it with industrial robots and other equipment, it achieves a reduction in manual visual inspections. 【Features】 - Can learn from images of good products only (images of defective products are not required) - Visually clear and easy-to-use screen design

  • Image Processing Software
  • Flaw detection testing
  • Defect Inspection Equipment

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AI visual inspection software for manufacturing industry "gLupe"

By simply registering dozens of good product images, an AI for visual inspection can be built.

- All you need to build AI is good quality images. Are you struggling to collect data for AI training? With gLupe, you don't need defective images for AI training. You can easily get started with just a few dozen good quality images. - The AI automatically learns the characteristics of good quality products. The AI learns the features of good quality products from the registered images and can detect items that differ from those features as defective. There is no need for detailed parameter adjustments like in image processing. - Unique AI algorithm. gLupe uses a uniquely developed AI. Please consult us for consultations based on an understanding of the AI's strengths and weaknesses, as well as for customized product development. *The developer of "gLupe" is System Planning Institute, Inc. For inquiries regarding the product, please feel free to contact System Giken, Inc.

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Case study of automated visual inspection: Inspection examples of metal plate hole dimensions and conditions.

A case study of automating visual inspection using a general-purpose stage that operates in two axes to inspect the position, size, and condition of holes drilled in metal plates!

Would you like to switch from "visual inspection" to "automated inspection using a camera" for necessary inspections such as "hole position," "hole dimensions," "burrs," and "chipping" on metal plates? We would like to introduce a practical example of the "iVision Robot," which operates as an inspection device by attaching an inspection system to a general-purpose XY stage moving device. In this system, by moving the camera and stage, we conduct inspections of the entire steel plate, checking the size, position, and condition of holes made in various locations on the steel plate. 【Features of this system】 - For workpieces that are too large to capture in a single image, the camera can be moved to enable overall imaging. - Simultaneous confirmation of hole size, hole position, and the absence of burrs or chipping around the holes. - It is also possible to determine compliance with specifications based on information from drawings, etc. *First, we will verify whether the workpieces you wish to inspect can be inspected. *Detailed processing information, including details and processing flow, is provided in the PDF.

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Case Study of Automated Visual Inspection: Inspection of Resin Parts (Manufacturing Line Installation)

A case study of automating visual inspection by installing cameras and lighting on the manufacturing and transportation line in operation, conducting inspections on the same stage as production!

Would you consider switching the necessary inspections for resin parts, such as "shorts," "black spots," and "gas burns," from "visual inspection" to "automated inspection using cameras"? We would like to introduce an example where adding cameras and lighting to the existing production line enables visual inspection. In this system, cameras are installed at points along the production line where the inspection target surface can be observed, allowing for simultaneous production and inspection. Additionally, some modifications have been made to the discharge section to separately expel defective products. 【Features of this system】 ■ Enables automated inspection without the need to introduce separate lines or equipment for inspection. ■ Capable of accommodating modifications if changes to the existing line are necessary. ■ Records which inspection process detected defects. ■ Equipment can be modified based on the inspection content. *First, we will verify whether the work you wish to inspect is feasible. *Detailed processing information and flow are provided in the PDF.

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Case Study of Automated Visual Inspection: Example of Surface Inspection of Metal Plates Using 3D Sensors

Case study of automating appearance inspection to measure the surface irregularities of metal plates using a 3D sensor!

Would you like to switch the measurement of the fine unevenness on the surface of metal plates from "manual measurement" to "automated inspection using a 3D sensor"? We will introduce examples of automating visual inspections conducted using a 3D sensor. By using a 3D sensor, it becomes possible to check the condition of the surface of metal plates. Utilizing the 3D sensor allows for the inspection of the fine unevenness of metal products, enabling efficient polishing and warping correction of metal products. 【Features of this system】 - By using a 3D sensor, it is possible to measure not only the size of the unevenness but also the depth direction. - By pre-registering reference values and tolerances, it is possible to quickly determine OK or NG. *First, we will verify whether the work that the customer wishes to inspect is feasible. *Detailed processing information, including details and processing flow, is provided in the PDF.

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Case Study of Automated Visual Inspection: Example of Vegetable Shape Inspection Using AI

A case study of automating external inspections of vegetables such as root crops by installing cameras on existing transport and sorting equipment and using AI for judgment!

Regarding the size classification and defect inspection of root vegetables flowing on a dedicated conveyor line, would you consider switching from "visual inspection" to "automated inspection using cameras"? By installing cameras and lighting on the existing conveyor and classification equipment and using AI for judgment, we can create a system that classifies root vegetables by size and identifies defects during transport. Using AI makes it possible to distinguish items with irregular shapes and colors, such as vegetables, which are difficult to identify with standard inspection equipment. 【Features of this system】 - Inspection can be conducted using the existing conveyor and classification equipment without creating a separate inspection system. - Utilization of the existing conveyor line allows for effective use of equipment. - AI enables inspection of irregularly shaped vegetables. - The equipment can be modified based on the inspection requirements. *First, we will verify whether the work you wish to inspect is feasible. *Detailed processing information, including details and processing flow, is provided in the PDF.

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Case Study of Automated Visual Inspection: AI-Based Inspection of Bento Ingredients

A case study of automating visual inspection by installing cameras and lighting on the line to capture and inspect the condition of bento boxes flowing on the conveyor line!

Regarding the mistakes or absence of ingredients in the bento boxes being transported on the line, would you consider switching from "visual inspection" to "automated inspection using cameras"? By installing cameras and lighting on the existing transport line and utilizing AI, we can create a system that inspects for mistakes in the arrangement or presence of ingredients while they are being transported on the line. This system will also be able to identify irregular items, such as bento ingredients, which are difficult to distinguish with conventional inspection devices, by using AI. 【Features of this system】 ■ Inspection can be conducted on the transport line without creating a separate inspection system. ■ Since inspections are performed on the transport line, it is possible to conduct inspections without creating additional devices. ■ By using AI, inspections can be carried out for ingredients that do not have consistent shapes or colors. ■ The device can be modified based on the inspection content. *First, we will verify whether the work you wish to inspect is feasible. *Detailed processing information is provided in the PDF, including specifics and processing flow.

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