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Image inspection software Product List and Ranking from 5 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.

Image inspection software 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. スカイロジック Shizuoka//software
  2. 株式会社Roxy Aichi//IT/Telecommunications
  3. 因幡電機産業 産機カンパニー Osaka//Trading company/Wholesale
  4. 4 アプライド Fukuoka//Trading company/Wholesale
  5. 5 Yokoyama Shokai Co.,Ltd Aichi//Trading company/Wholesale
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Image inspection software 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. Easy integration with KEYENCE products! AI inspection software 'Roxy AI' 株式会社Roxy
  2. [AI Image Inspection Case] Determining Wiring Misimplementation スカイロジック
  3. AI Image Inspection Introduction That You Can't Ask About Now 因幡電機産業 産機カンパニー
  4. 4 Image inspection software "ImagePro" アプライド
  5. 5 AI Appearance Inspection Camera: AI Appearance Inspection Usable by Anyone - Case Studies Yokoyama Shokai Co.,Ltd

Image inspection software Product List

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[AI Image Inspection Case] Inspection of Color Mixing and Welds

[AI Image Inspection Case] Inspection of Color Mixing and Welds

An example where the occurrences of "weld" and "mixed colors" were specified for learning.

We received an inquiry from an industrial control equipment manufacturer who wanted to confirm various inspection details. Initially, we decided to conduct a simple verification by sending sample images. Our software, called "DeepSky," detects objects with similar features by enclosing the target object in a rectangle and performing learning. In this case, we specified areas where "weld" and "color mixing" appear for the learning process. Regarding the weld, there are likely "acceptable welds" and "non-acceptable welds" in reality, but distinguishing between them is difficult, so the inspection will focus on whether a weld is present or not. Based on the verification feedback for these two items, I feel there is a high possibility of being able to conduct inspections. [Software Used] ■DeepSky *For more details, please refer to the PDF document or feel free to contact us.

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  • Image Processing Software

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[AI Image Inspection Example] Tube Diameter Measurement

[AI Image Inspection Example] Tube Diameter Measurement

We will measure the diameter dimensions of the cross-section of a 24G tube (outer diameter 0.70mm) using AI image inspection software!

This is a request for a simple verification using images captured with a microscope. We will measure the diameter of the cross-section of a 24G tube (outer diameter 0.70mm) using an image taken at a resolution of 4000×3000px. 【Inspection Settings and Results】 By using the "Dimension Angle Inspection" feature of EasyInspector, we were able to measure the diameter of the cross-section of one location on the tube. The measurement taken from the image captured with the microscope showed a diameter (indicated by the red arrow) of 2369px. Since we do not know the actual dimensions of this product, substituting the nominal size gives us 0.7mm = 2369px, resulting in 1px = 0.0003mm, which is the resolution. Generally, the measurement error is ten times the resolution, so that value is 0.003mm. Under these conditions, inspection is possible, but to measure the outer diameter, the entire inspection item must be within the field of view. As the outer diameter of the inspection item increases, the actual dimension value per pixel also increases, leading to a larger measurement error.

  • Image Processing Software

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[Technical Support] Setting up the measurement of the center between holes in metal products.

[Technical Support] Setting up the measurement of the center between holes in metal products.

We provide support on how to set up measurements between one hole and the center of the hole in dimensional angle inspections!

This is an inquiry about the setup method for measuring the distance between the centers of two circles. The inspection software "EasyInspector" that you inquired about is a user-friendly, general-purpose image inspection/image recognition software that can utilize low-cost USB cameras. You only need to install the software and connect a commercially available webcam. You can easily build an inspection system for under 100,000 yen. With over 1,000 successful implementations, it is used in various fields such as electrical, electronics, machinery, and assembly. 【Inspection Settings and Results】 By using the "Dimension Angle Inspection" function of EasyInspector, we were able to measure the distance between the center of one hole and another. The inspection was possible by setting two inspection frames, left → Inspection Frame 1 and right → Inspection Frame 2, over the holes and measuring the difference. This inspection is also a support for customers who are already operating our inspection software regarding the setup method. Our company accepts verification and support from technical staff on a daily basis. If you have any issues, questions, or uncertainties during operation, please feel free to contact us at any time.

  • Image Processing Software

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[AI Image Inspection Case] Measurement of Metal Parts Dimensions (4)

[AI Image Inspection Case] Measurement of Metal Parts Dimensions (4)

Measuring the dimensions of holes in metal parts with AI image inspection software!

We have received a request for a simple verification from a manufacturer of metal parts for automobiles. There is a workpiece with a φ8.5 hole, and the areas we want to measure this time are the widths of the flat surfaces on both sides of this φ8.5 hole. First, we will confirm that the φ8.5 hole is correctly made, and then we will check whether the flat surfaces on both sides are each 2.75 mm or more, which will be done through image inspection. Using this hole, we will verify whether the area that serves as the seating surface for the bolt head is φ14 or more. 【Inspection Settings and Results】 The seating surface is completely flat, and it seems that other hole chamfers have an inclination of more than 30 degrees, so I believe we can capture a clear image using coaxial illumination. We took images using a metal plate we had in our company, and I would appreciate it if you could check the materials. This time, we used a 1.3-megapixel camera with a 35mm lens. The total cost for the camera and lens is about 80,000 yen. We used the "Dimension Angle Inspection" function of EasyInspector, and it was possible to conduct the inspection in 0.15 seconds.

  • Image Processing Software

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[AI Image Inspection Case] Rice Ingredient Presence Inspection

[AI Image Inspection Case] Rice Ingredient Presence Inspection

The AI image inspection software detects and evaluates the ingredients of fried rice (egg)!

A sample product has arrived from the frozen food manufacturer. It has been considered difficult to inspect food items due to their unstable shapes. The AI (deep learning) inspection software DeepSky can demonstrate its strengths against various shapes of parts and defects, and it is easy to set up. Please try the "DeepSky Learning Service." 【Inspection Settings and Results】 We were able to determine the presence or absence of ingredients (eggs) in room temperature fried rice. Although there were some false detections because we could not create an image with the eggs perfectly removed, there was a clear difference in the quantity detected between the presence and absence of eggs. In this verification, we are judging OK/NG based on the premise that there may be some false detections; if the quantity found is small, it is NG, and if it is large, it is OK.

  • Image Processing Software

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[AI Image Inspection Case] Counting Goldfish

[AI Image Inspection Case] Counting Goldfish

Counting goldfish in a tank with AI image inspection software!

Social enterprises and social entrepreneurs have been active in various places recently. We received an inquiry from a manufacturer that operates CSR as a business. This time, the evaluation is about counting goldfish in a tank. [Inspection Settings and Results] The image on the left shows the annotation process, which involves enclosing the objects we want to find. The image on the right shows the detection frame in green counting the goldfish. I cropped the video you sent and tested it with software equipped with AI called DeepSky. As a result of the verification, it seems possible to detect the goldfish. However, detection was not possible when they were hidden behind the hose or when two fish overlapped.

  • Image Processing Software

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Easy integration with KEYENCE products! AI inspection software 'Roxy AI'

Easy integration with KEYENCE products! AI inspection software 'Roxy AI'

Additional inspection of defects that are difficult to detect with rule-based methods using Roxy AI.

KEYENCE products are utilized in every conceivable field. By simply adding Roxy AI, the possibilities for inspection expand. The combination of KEYENCE products and Roxy AI leverages the strengths of both. ■ Upgrading existing inspection systems - Add AI inspection to inspection systems composed of CV-X and XG-X without coding. * Compatible with CV and XG series as well. - By using AI to re-inspect areas detected through image inspection, it is also possible to reduce false positives. ■ Utilizing KEYENCE's rich lighting and image processing capabilities for AI inspection - LumiTrax can instantly capture various images, such as specular and diffuse reflection images. It is possible to simultaneously learn and inspect multiple images taken with LumiTrax. - Supports multi-spectral images using infrared and ultraviolet colors. ■ Flexibly accommodating high-speed inspections and complex systems - Achieve high-speed inspections by combining with the VJ series cameras for machine vision. - Seamlessly integrate with KEYENCE's KV series PLC without coding. ■ Suitable for inspecting small, difficult-to-capture irregularities - Compatible with the LJ series, which measures height information using lasers.

  • PLC

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AI Appearance Inspection Camera: AI Appearance Inspection Usable by Anyone - Case Studies

AI Appearance Inspection Camera: AI Appearance Inspection Usable by Anyone - Case Studies

No PoC needed! Free testing in progress! Low-cost implementation with AI image inspection software that anyone can use. Easy setup allows for AI inspection.

AI image processing software for manufacturing sites "gLupe" - No knowledge of image processing is required. - Easy learning method that anyone can use. - It's okay if there are few defective images. - New defects can easily improve accuracy with additional learning. - Preliminary tests are free. No PoC required. Can start on a low budget. - One-time purchase for peace of mind. No running costs. Of course, there are areas where AI image recognition may struggle, but if there are things that traditional images couldn't do, things that didn't work well with other companies' inspection machines, or if you simply want to automate from manual inspection, please feel free to consult us. Let's TRY first!! - Detection of scratches and cracks (surface defects on metals, plastics, glass, etc.) - Detection of dirt and stains (defects in food, packaging, printed materials, etc.) - Foreign object contamination (in food, pharmaceuticals, cosmetics manufacturing lines) - Product size (detection of protrusions and chips) - Detection of missing or deformed parts (such as plastic and metal components) - Detection of bending and warping (such as circuit boards, films, panels) - Color unevenness and discoloration (such as painting and food cooking levels) - Classification of non-standard products (sorting good and defective products) - Product identification and classification (confirmation of mixed varieties, etc.)

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  • Visual Inspection Equipment

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AI Image Inspection Introduction That You Can't Ask About Now

AI Image Inspection Introduction That You Can't Ask About Now

Does AI seem difficult... and are you giving up? We will support you in implementing AI image inspection without failure!

We are currently offering materials that teach the basics of implementing AI image inspection without failure. [Contents] - What is AI image inspection? - Benefits of implementation - Steps to implement AI image inspection - Recommended AI image processing products This material is useful for a wide range of people, from those specifically considering the implementation of AI for image inspection to those who have just started gathering information or are curious about what products are available. Not sure where to start... Unsure about how to select equipment and worried if this is really the right choice... Considered AI image inspection in the past but gave up because there was no one who could use it... Implemented AI image inspection, but it became a black box, only belonging to the engineers... The catalog also introduces products that solve such concerns! Of course, we can assist with selecting AI image processing software, as well as optical equipment like cameras and lighting, with the help of INABA's dedicated image inspection SEs! Additionally, we have SEs for robotic systems and IoT on-site, enabling proposals for problem-solving from multiple directions. Please make use of this for your consideration of automating visual inspections!

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  • Image Processing Equipment
  • Image Processing Software
  • Other image-related equipment

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[AI Use Case] Detection of Black Plastic Caps and Discharge from Conveyor

[AI Use Case] Detection of Black Plastic Caps and Discharge from Conveyor

This automatic discharge mechanism can also be applied to metal defects and deformation, resin shorts, and food inspections.

This time, we are inspecting the top surface and the entire circumference of the cap using only one camera (without using multiple cameras). We will introduce a case where the friction force is utilized to rotate the cap. When the AI image inspection software DeepSky detects a defect, an NG signal is output from the Intelligent I/O, and by connecting an electromagnetic valve to the NG output, the valve opens when a defect is detected. At this time, air from the air compressor flows to the pusher, causing the pusher to extend forward and automatically discharge the defective product. For more details, please check the related links below. 【Tools and Equipment (Excerpt)】 ■PC: Mouse Computer/G-Tune, Core i9, 16GB RAM, RTX 2070 SUPER ■Image Processing Software: Sky Logic/DeepSky DS100K ■IO Unit: Sky Logic/EI-ITIO-T01 ■1.3 Megapixel Camera: Daheng/MER-133-54u3c ■12mm Lens: M1214-MP2 *For more details, please refer to the PDF document or feel free to contact us.

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  • Image Processing Software

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[AI Image Inspection Case] Shape Discrimination of Automotive Catalysts

[AI Image Inspection Case] Shape Discrimination of Automotive Catalysts

A case of shape discrimination using the deep learning image inspection software "DeepSky"!

This is a verification request from manufacturers of automotive catalysts, focusing on automotive catalysts for passenger cars, diesel vehicles, and motorcycles. The deep learning image inspection software 'DeepSky' allows for easy collection, learning, and judgment of image data using a single PC. In this instance, the shape discrimination was performed using 'DeepSky'. This software is trained in advance to distinguish between a "set of rectangles" and a "set of hexagons" across the entire screen. It utilizes AI (Deep Learning), and the results of the verification showed that it is possible to detect and discriminate between rectangular and hexagonal shapes. Even for inspection cases that you may have previously given up on, please feel free to consult with us. [Software Used] ■DeepSky *For more details, please refer to the PDF document or feel free to contact us.

  • Image Processing Software

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[AI Image Inspection Case] Clogging of Three-Way Catalysts

[AI Image Inspection Case] Clogging of Three-Way Catalysts

By pre-training on the "black clumps" of clogging, detect the "areas that appear to be clogged" within the screen.

There have been verification requests from manufacturers of automotive catalysts, focusing on automotive catalysts for passenger vehicles, diesel vehicle catalysts, and motorcycle catalysts. In Hamamatsu City, Shizuoka Prefecture, where the manufacturing industry, including automotive parts, is thriving, we serve various industrial machinery and control equipment manufacturers as clients, with a track record of providing support for over 1,000 cases. We are developing inspection software that is easy to integrate and sold as a complete package. This time, the determination of clogging was performed using 'DeepSky.' By pre-training it on the "black clumps" indicative of clogging, we can detect areas within the screen that appear to be clogged. The image inspection software 'DeepSky,' which utilizes deep learning, is an all-in-one and simple-to-operate AI image inspection software themed around "easy operation for field users," and it is steadily increasing its implementation record. [Software Used] ■DeepSky *For more details, please refer to the PDF document or feel free to contact us.

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  • Image Processing Software

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[AI Image Inspection Case] Confirmation of Proper Insertion of Terminals

[AI Image Inspection Case] Confirmation of Proper Insertion of Terminals

By teaching the system what to look for, we can achieve higher precision in inspections!

The demand for inspection automation due to labor shortages has been increasing year by year, and amidst this, AI-based inspection systems have also diversified. With the theme of "easy operation for on-site users," we released an all-in-one and simple-to-operate AI image inspection software in 2020, and we have steadily increased our implementation achievements. By circling the items you want to find (OK/NG) with a mouse and clicking the "Learn" button, the inspection machine grows to enable easy pass/fail judgment. For object recognition, we use transfer learning and high-accuracy models, allowing for higher precision inspections by teaching the system to recognize NG items and the objects you want to find. Using the inspection function of 'DeepSky,' we labeled (named) correctly inserted terminals as "Normal" and terminals with insertion errors as "Abnormal," enabling accurate identification. In actual inspections, we set it up so that if even one "Abnormal" is found, it results in a NG. (Settings can be freely adjusted, such as determining what constitutes OK/NG based on the number of items found.) [Software Used] ■DeepSky *For more details, please refer to the PDF materials or feel free to contact us.

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  • Image Processing Software

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[AI Image Inspection Case] Detection of Wall Cracks

[AI Image Inspection Case] Detection of Wall Cracks

You can decide whether or not to count the target object when you find it in the settings!

The surveying equipment manufacturer who requested this verification is also a customer we have been dealing with for some time. Our company serves various industrial machinery and control equipment manufacturers in Hamamatsu City, Shizuoka Prefecture, which is active in the manufacturing of automotive parts. We have a track record of providing and supporting over 1,000 cases, and we believe that our easy-to-integrate inspection software, sold as a one-time purchase, has led to repeat business. As a result of training specifically on wall cracks, it seems difficult to completely eliminate false detections through training alone. When a target object (in this case, cracks) is found within a specific area, it is possible to decide whether or not to include it in the count through settings. However, in this case, positional deviations of the workpiece cannot be tolerated in processing, so if the workpiece is assumed to be misaligned, it may be quicker to blur the surroundings. [Software Used] ■DeepSky *For more details, please refer to the PDF document or feel free to contact us.

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  • Image Processing Software

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[AI Image Inspection Case] Measurement of Metal Parts Dimensions (1)

[AI Image Inspection Case] Measurement of Metal Parts Dimensions (1)

Detecting the dimensions of metal parts with AI image inspection software!

We have received sample products from a metal parts manufacturer with whom we have previously conducted business. This is a request for verification of the product dimensions. 【Inspection Setup and Results】 We would like to report the verification results of the dimensional measurements of the samples you sent. This time, we conducted the verification in two parts, assuming the use of two cameras, measuring one side at a time. By using backlight illumination, we were able to capture images that made edge detection easier, and using the "Dimension Angle Inspection" feature of EasyInspector, we set up 13 inspection frames and completed the inspection in 1.69 seconds. The green frame in the left image is an enlargement of the inspection frame set in the master image. The right image is an enlarged view of the screen displaying the inspection results.

  • Image Processing Software

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