We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Visual inspection software.
ipros is IPROS GMS ・ IPROS One of the largest technical database sites in Japan that collects information on.

Visual inspection software Product List and Ranking from 21 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Nov 12, 2025～Dec 09, 2025
This ranking is based on the number of page views on our site.

Visual inspection software Manufacturer, Suppliers and Company Rankings

Last Updated： Aggregation Period:Nov 12, 2025～Dec 09, 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. 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
Go to Company Ranking

Visual inspection software Product ranking

Last Updated： Aggregation Period:Nov 12, 2025～Dec 09, 2025
This ranking is based on the number of page views on our site.

  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. Appearance inspection software "MELSOFT VIXIO" 藤川伝導機
  4. 4 Appearance inspection software "MELSOFT VIXIO" 藤川伝導機
  5. 5 [AI Image Inspection Case] Reading Text on Nameplates スカイロジック

Visual inspection software Product List

106～120 item / All 470 items

Displayed results
[AI Image Inspection Case] Defect Inspection of Resin Molded Products

[AI Image Inspection Case] Defect Inspection of Resin Molded Products

The AI image inspection software detects defects in molded products!

There have been instances where defects such as scratches, bumps, and foreign matter contamination occur in resin-molded parts like automotive components due to processing methods, causing difficulties. 【Inspection Settings and Results】 By using the "Scratch and Bump Inspection" feature of EasyInspector, we were able to determine scratches and bumps across the entire field of view in 0.5 seconds. Two inspection frames were created for the entire area, setting them apart as "white" and "black." 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: 10 x 6 mm Minimum Size of Inspection Target: 2 mm Number of Inspection Points: 1 (entire area) Camera Resolution: 300,000 pixels Lens Focal Length: 50 mm + 10 mm Macro Ring Distance Between Lens and Product: 190 mm Lighting: Ring Lighting Distance from Lighting to Inspection Item: Not recorded The current 'EasyInspector2' color package can be used for [Scratch and Bump Detection].

  • Image Processing Software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[AI Image Inspection Case] Left and Right Discrimination of Molded Products

[AI Image Inspection Case] Left and Right Discrimination of Molded Products

We will perform symmetry detection of molded product shapes using AI image inspection software!

We received an inquiry from a manufacturer that produces a wide range of products, including vinyl chloride monomers, polymers, and special PVC resins, with whom we have had a business relationship for some time. They asked if our group company could distinguish the shapes of molded products (specifically, symmetrical shapes) and contacted us regarding this matter. 【Inspection Settings and Results】 We used a total of 14 images as training data, consisting of 7 images of the left side and 7 images of the right side. We enclosed the object we wanted to detect (in this case, the entire workpiece) in a frame and labeled them as "LH" and "RH" respectively (as shown in the left image). This process was carried out for all 14 training data images. In the right image, LH is correctly recognized as LH, and RH is recognized as RH. There are no issues with recognition even if the left and right are swapped. 【Software and Equipment Used】 Software Used: DeepSky Field of View: Approximately 482 x 383 mm Minimum Size of Inspection Target: 150 mm Number of Inspection Points: 1 (to check if the left and right workpieces are aligned across the entire screen) Camera Resolution: 1.3 million pixels Lens Focal Length: 8 mm Distance Between Lens and Product: Approximately 575 mm Lighting: Indoor fluorescent lights

  • Image Processing Software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[AI Image Inspection Case] Judgment of Injection Molded Parts

[AI Image Inspection Case] Judgment of Injection Molded Parts

It will determine whether four parts are properly installed in one workpiece.

This is an inquiry from a manufacturer of thermosetting and thermoplastic resin molding processing. The inspection is based on the images provided. 【Inspection Settings and Results】 The left image shows the annotation work to outline the area to be inspected. The right image shows the detection frame. There were no instances where defective products were incorrectly classified as acceptable, but there were 2 images where acceptable products were incorrectly classified as defective. Since September 2021, a data augmentation feature for training images has been implemented. By using this convenient feature, it is possible to learn from a larger number of images with variations in orientation, angle, and brightness of defects that occur only occasionally, which improves accuracy. 【Software Used】 Software Used: DeepSky Learning Version Number of Inspection Points: 4

  • image-38.png
  • Image Processing Software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[AI Image Inspection Case] Reading Text on Automotive Parts

[AI Image Inspection Case] Reading Text on Automotive Parts

The AI image inspection software reads the printed information such as product model and manufacturing date.

This is an inquiry from a manufacturer of automotive parts and accessories. I believe that clearly printing details such as model numbers and manufacturing dates on delivered products is a common practice across various industries. Our software includes basic functions for saving inspection results in CSV format or as images. It allows for the recording of which parts are associated with which product numbers, making it useful in various industries. 【Inspection Settings and Results】 By using the "OCRPro" feature of EasyInspector, we were able to read characters in 26 locations. The reading took 1.87 seconds. For characters, detection was possible using either the OCR function or the OCR Pro function, while for marks and logos, comparison inspection with master images was utilized. The images show differences in RGB and color tones in the "comparison with master image" settings. As for recording methods, results can be saved in CSV format or as images. Information like that in Table 2 will be recorded in CSV format.

  • image-40.png
  • Image Processing Software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[AI Image Inspection Case] Judgment of Part Counting

[AI Image Inspection Case] Judgment of Part Counting

We will determine the counting of small parts using AI image inspection software.

At a plastic parts manufacturer, counting small products for shipping has become a burden. There were issues with errors in weight inspection. We will conduct a simple verification of counting small parts. With DeepSky, you can use advanced software that supports counting on a conveyor. It is designed to count in various operational methods. 【Inspection Settings and Results】 We conducted inspections using software called DeepSky, which utilizes AI (Deep Learning). By training the software on the areas we want to detect, it adjusts its own setting parameters and learns to recognize them. The inspection cycle is shorter with EasyInspector. However, counting work that is not placed in trays is difficult to judge, so we decided to verify it with DeepSky this time. The left image shows the annotation, and the right image shows the detection frame. There were misjudgments with work that perfectly overlapped without any gaps, but otherwise, the judgments were good. 【Software Used】 Software used: DeepSky Counting can also be done with the application specialized for counting, 'cazoetell'.

  • Image Processing Software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[AI Image Inspection Case] Insufficient or Excessive Solder Amount

[AI Image Inspection Case] Insufficient or Excessive Solder Amount

The AI image inspection software accurately determines insufficient and excessive solder.

We received an inquiry from a manufacturer of FA control devices with whom we have had dealings in the past, regarding the determination of solder quantity. The combination of AI (deep learning) and image inspection can be beneficial even in high-level solution areas. Please consider our image inspection software, DeepSky, for efficient inspection. 【Inspection Settings and Results】 We are able to accurately determine insufficient and excessive solder, as can be confirmed through images. With our inspection software "DeepSky," you can easily set up inspections by enclosing the areas you want to evaluate and training the system. There is an increasing movement to automate visual inspections due to advancements in AI-based image evaluation technology. To successfully implement AI image inspection, it is crucial to clearly define the characteristics of defects. Please feel free to contact us regarding lighting and camera environments as well. 【Software Used】 Software Used: DeepSky

  • Image Processing Software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[AI Image Inspection Case] Detection of Defects in Engine Water Pumps

[AI Image Inspection Case] Detection of Defects in Engine Water Pumps

Detects "dents, impressions, chip clogging, and large voids" in precision die-cast products!

Our image inspection software is being considered in various fields and industries. The combination of AI (deep learning) and image inspection can be beneficial even in high-level solution areas. We recommend efficient inspections with DeepSky. [Inspection Settings and Results] The results of the verification conducted with the samples you provided showed that it was possible to detect "dents, impressions, chips, and large holes" and determine pass or fail. This time, we used a software called DeepSky, which utilizes AI (Deep Learning) for inspection. By training the software on the areas we want to detect, it can adjust its own setting parameters and recognize them. In actual operations, various patterns (sizes and features) of defects are expected, so it is necessary to increase the number of training images.

  • Image Processing Software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[AI Image Inspection Case] Defect Detection of Water Pump in Engine (2)

[AI Image Inspection Case] Defect Detection of Water Pump in Engine (2)

Detects dents, pressure marks, and debris blockages in the engine water pump!

Metal products such as die-castings often reflect light, making inspection difficult in the past. With our inspection software DeepSky, released in 2020, it is now possible to operate even reflective metal products like die-castings with simple settings. 【Inspection Settings and Results】 By using DeepSky's inspection features, we were able to determine dents, impressions, and chip blockages in just 0.35 seconds. The image on the left shows the hole that should be present in a good product, while the image on the right is taken with the same color (white) as the good product's "hole," but it is accurately recognized as defective. The number at the top of the frame indicates the AI's confidence level (number of recognition points). 【Software and Equipment Used】 Software Used: DeepSky Learning Version Field of View: Approximately 56 x 42 mm Minimum Size of Inspection Target: 20 mm Number of Inspection Points: 1 overall Camera Resolution: 1.3 million pixels Lens Focal Length: 12 mm Distance Between Lens and Product: Approximately 150 mm Lighting: Flashlight (Chip blockage: spotlighting the processing hole)

  • Image Processing Software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[AI Image Inspection Case] Counting Parts

[AI Image Inspection Case] Counting Parts

Label the parts you want to count, set the pass/fail criteria, and make a judgment!

We receive numerous inquiries about counting parts. Recently, we developed software for conveyor counting as an advanced application of DeepSky. We proposed a method where, while inspecting and counting, if you want to count 1,000 items, you can set the conveyor to light up at 990, have the workers line up in a row, and then stop the conveyor again at 1,000. In this inquiry, we attempted a test to count 23 correct workpieces while stationary on the workbench. 【Inspection Settings and Results】 In the settings shown in the left image, the parts to be counted are labeled as "Work," while other mixed parts are labeled as "Excluded." When set up as shown in the image above, the configuration passes if there are 20 counted parts (Work). The "Rs" on the right indicates the number of recognition points to be detected, set individually. The right image displays the detection screen. 【Software and Equipment Used】 Software Used: DeepSky Field of View: 280 x 200 mm Minimum Size of Inspection Target: 2 mm Number of Inspection Points: 8 Camera Resolution: 1.3 Megapixels Lens Focal Length: 6 mm Distance Between Lens and Product: Approximately 330 mm Lighting: Indoor Fluorescent Light

  • Image Processing Software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[AI Image Inspection Case] Discrimination of Metal Parts

[AI Image Inspection Case] Discrimination of Metal Parts

We will determine the defects of parts of cutting equipment using AI image inspection software!

The industrial knife manufacturer focuses on high quality, precision, and functionality in the production of cutting tools for various objects, and is committed to pursuing product quality control. This time, we are verifying the judgment of defects in cutting machine parts. The current inspection method is conducted using visual checks and jigs, but there tends to be negligence during busy periods, leading to incidents that result in complaints. Since this is a common case with a variety of workpieces, we have also created a video to make it easier to visualize. Please take a look for reference. "Discovering the omission of two types of parts at the same time and stopping the conveyor" https://skylogiq.co.jp/DIY_HowTo/368 【Inspection Settings and Results】 It was possible to detect defective parts. However, due to the variety of workpieces, it is necessary to set an appropriate field of view for each size. There were also instances where defects could not be captured directly from above, necessitating angled imaging of holes, which is expected to make positioning and environmental conditions more stringent, as reported. 【Software Used】 Software used: DeepSky

  • Image Processing Software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[AI Image Inspection Case] Appearance Inspection of Needle Packaging

[AI Image Inspection Case] Appearance Inspection of Needle Packaging

We will identify the "double," "diagonal," and "vertical misalignment" of the product after the needle packaging!

The label equipment manufacturer has also been packaging needles and inquired about automating the visual inspection to ensure they are properly packaged. We will provide a free evaluation to determine whether we can identify "duplicates," "tilts," and "vertical misalignments" of the products after packaging. 【Inspection Settings and Results】 After conducting training with the samples you sent, we were able to identify good products, duplicates, tilts, and vertical misalignments. For inspection, it is necessary to transport the sheet as parallel as possible to the camera angle. We have set the field of view to evaluate 10 items in a single shot and inspection. The left image shows the display indicating that "10 good products" have been detected within the screen. The right image shows that "9 good products and 1 duplicate" have been detected, resulting in a failure judgment. 【Software and Equipment Used】 Software Used: DeepSky Learning Version Field of View: Approximately 78 x 62 mm Minimum Size of Inspection Target: 2 mm Number of Inspection Points: 1 (Pass if there are 10 good products within the screen) Camera Resolution: 1.3 million pixels Lens Focal Length: 25 mm Distance Between Lens and Product: Approximately 485 mm Lighting: Indoor fluorescent lights

  • Image Processing Software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[AI Image Inspection Case] Defect Detection of Plate-shaped Parts

[AI Image Inspection Case] Defect Detection of Plate-shaped Parts

The AI image inspection software detects defects such as dirt and scratches on flat parts!

This is an inquiry from a manufacturer of aluminum products and heat transfer processing with whom we have had a business relationship for some time. We will detect three types of defects: "something like dirt," "linear marks," and "dot-like marks." Sending actual samples will allow us to provide the most reliable report. In that case, we will need you to send several good products and workpieces with the defects you want to detect. Please contact us for more details. [Inspection Settings and Results] Since the scratches were of different types, we labeled them as "A / B / C" and registered them, making it possible to detect the scratches. The process of enclosing the areas we want to detect in a rectangle, as shown in the left image, is called annotation. We verified this using DeepSky, which can detect without fixed positioning, even at various orientations and angles during the work. DeepSky is software that excels in such inspections and is utilized across various industries.

  • Image Processing Software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[AI Image Inspection Case] Defects in Cast Products

[AI Image Inspection Case] Defects in Cast Products

Detect multiple defects in cast products! Detect and evaluate various defects with a single software!

We received inquiries regarding multiple inspections, including unprocessed iron gear, pressure contact detection, burr residue on aluminum case parts, and confirmation of hole penetration in aluminum parts. Our company offers free evaluations that result in a simple "can do" or "cannot do" judgment. We can also accept paid testing. Please provide us with details about the specific operations. 【Inspection Settings and Results】 Continuous inspections are being conducted while manually rotating the workpiece slightly. Since the learning is not complete, there were some false detections, but the NG areas themselves were recognized. The ability to use the retraining function to improve the accuracy of inspection settings is one of the strengths of the software using AI (Deep Learning). 【Software Used】 Software used: DeepSky Learning Edition Number of inspection points: 1 (finding multiple defects from the entire screen)

  • Image Processing Software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[AI Image Inspection Case] Burrs and Black Spots on Metal Parts

[AI Image Inspection Case] Burrs and Black Spots on Metal Parts

The AI image inspection software detects burrs and black spots on metal parts!

We received an inquiry about the inspection of fine precision machinery from a manufacturer engaged in the design of industrial machinery and the development of software. If sending sample products is difficult, it is also possible to verify using photographs. They were considering whether it could be automated to determine the sorting of good and defective products, which is currently done through visual inspection. 【Inspection Settings and Results】 It was possible to determine burrs and black spots on metal products. The report was based on a configuration using two cameras, each assumed to use a 0.5x macro lens and a 35mm prime lens. Even with verification through sent images, we are providing support as much as possible by listening to the details and suggesting imaging environments such as cameras. 【Software Used】 Software Used: DeepSky Learning Version Number of Inspection Points: One location across the entire screen (to find burrs and black spots)

  • Image Processing Software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[AI Image Inspection Case] Foreign Objects in Metal Products

[AI Image Inspection Case] Foreign Objects in Metal Products

Detect foreign objects in metal products with AI image inspection software!

This is an inquiry from a manufacturer engaged in a wide variety of businesses, including iron gear processing, processing of irregular iron products, aluminum casting, aluminum processing, and assembly. I believe that many manufacturers, not just the customer in this inquiry, are still struggling with issues such as unprocessed materials, dents, pressure casting, and the detection of casting defects in aluminum cast products. Even if it is a work that was previously given up on, we welcome inquiries to our company. 【Inspection Settings and Results】 Using a software called DeepSky, which employs AI (Deep Learning), we were able to detect foreign objects in metal products. This software was released in 2020. By training the software on the areas we want to detect, it adjusts its own setting parameters and learns to recognize them. The image shows the detection frame, and the numbers indicate the AI's confidence level percentage and the "number of recognition points." 【Software Used】 Software used: DeepSky Learning Version Number of inspection points: 1 (to find foreign objects from the entire screen)

  • Image Processing Software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration

Related Categories of Visual inspection software

COPYRIGHT © 2001-2025 IPROS CORPORATION ALL RIGHTS RESERVED.