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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
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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

301～315 item / All 470 items

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[AI Image Inspection Case] Assembly Inspection of Wire Harness Work Parts

[AI Image Inspection Case] Assembly Inspection of Wire Harness Work Parts

Detects incorrect assembly of wire harness work parts, missing parts, and surplus assembly of parts!

Harness length: A free simple evaluation was conducted to detect incorrect assembly of work parts (different connector colors, different connector shapes), missing parts, and surplus assembly for lengths of 500 to 1000 mm. In the inspection process, automation is being promoted with the aim of pursuing stable inspection accuracy and reducing costs. As the shortage of personnel due to the aging workforce becomes more pronounced, please consider improving operational efficiency through image inspection to protect "Japanese manufacturing." [Inspection Settings and Results] By creating a simple fixed jig and capturing images within the range that accommodates the entire product, it was possible to distinguish the presence or absence of the O-ring on the bush and the color difference of the semi-lock. It is difficult to detect band or tube missing parts in the overall field of view. While it may be possible to detect them by capturing images individually with magnification, this would increase the number of cameras and inspection cycles. In this case, inspections for "presence" or "absence" and distinguishing between "gray" or "blue" were possible simultaneously in a single learning setup.

  • Image Processing Software

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[AI Image Inspection Case] Dimensions of Printed Circuit Boards

[AI Image Inspection Case] Dimensions of Printed Circuit Boards

We will inspect the dimensions of electronic circuit boards using AI image inspection software!

A previously partnered electronic component manufacturer has sent additional samples for re-inspection through a different test. Such cases are common, and this time we received a request for additional simple verification. 【Inspection Settings and Results】 By using the "Dimension Angle Inspection" feature of EasyInspector, we were able to measure the dimensions at one location. The enlarged image on the left shows that the width from the metal part to the end is within the specified value, resulting in a "pass" judgment (indicated by a blue frame). The image on the right shows that the width from the metal part to the end is outside the specified value, resulting in a "fail" judgment (indicated by a red frame). 【Software Used】 Software Used: EasyInspector Field of View: Not recorded Minimum Size of Inspection Target: 2mm Number of Inspection Points: 1 Camera Resolution: 14 million pixels, resolution changed to approximately 2.3 million pixels (4608×500) Lens Focal Length: 25mm (for high pixels) Distance from Lens to Product: Approximately 350mm Lighting: Fluorescent lighting Distance from Lighting to Inspection Item: 200mm diagonally above Current 'EasyInspector2' MS (MeaSure) package can perform inspections for [Position/Width Measurement] and [Angle Measurement].

  • Image Processing Software

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[AI Image Inspection Case] Harness Wiring Color Inspection

[AI Image Inspection Case] Harness Wiring Color Inspection

We will inspect the wiring colors of the harness using AI image inspection software!

We have received numerous inquiries regarding the inspection of harness wiring colors in the past. This time, we conducted a simple verification of this case and reported our findings. Given the current social situation, the "automation of inspections" is progressing. I feel that the time has come to consider measures against the aging of skilled workers, declining birth rates, and the inability to gather people in factories due to the spread of new viruses. We support the efficiency of operations through inspection automation. 【Software and Equipment Used】 Software Used: EasyInspector Field of View: Approximately 32 x 25mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 13 Camera Resolution: 5 million pixels Lens Focal Length: 25mm + 0.5mm close-up ring Distance Between Lens and Product: Approximately 170mm Lighting: Indoor fluorescent lights Current 'EasyInspector2' color package [Presence or Absence of Specified Color] Can be inspected with 'RakuiroChecker'.

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[AI Image Inspection Case] Nameplate Text Reading

[AI Image Inspection Case] Nameplate Text Reading

The AI image inspection software reads the text on nameplates for product management!

The electronic components manufacturer has considered our character recognition for product management. Sample images have been sent. The inspection software called EasyInspector, which you inquired about, is used by customers in the automotive parts and electronic circuit board sectors, making up half of our clientele, and it is also utilized by a wide range of industries for tasks such as assembly verification and inspection of minute dirt on products. 【Inspection Settings and Results】 As shown in the red box in the left image, reading was possible with the EasyInspector "OCR" function in a well-lit environment. If the lighting conditions are improved to uniformly illuminate the entire area, it may be possible to read everything at once. In the current lighting environment, there were misreads with the standard OCR function, such as reading S as 3. However, it was possible to read using the OCR Pro function. 【Software Used】 Software used: EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' RD (ReaDing) package can perform inspections with 【OCR (character recognition)】 and 【machine learning OCR】.

  • Image Processing Software

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[AI Image Inspection Case] Connector Grommet

[AI Image Inspection Case] Connector Grommet

We determine the presence or absence of four grommets inside the connector to prevent the outflow of defective products!

We received an inquiry via email from an electronic component manufacturer considering automated visual inspection. They were experiencing issues with a workpiece that has a grommet inside the connector, making it difficult to determine by hand whether it has been inserted all the way to the back of the connector, leading to incidents of insufficiently inserted items being shipped to customers. We conducted a simple verification after receiving photos. 【Inspection Settings and Results】 By using the "Presence or Absence of Specified Color" function of EasyInspector, we were able to determine the presence or absence of the grommet in four locations. While it may also be possible to detect the plastic lock part and provide pass/fail judgment, detecting the crimp terminal (the silver part) would likely result in more stable inspection. As for the operational method, it is also possible to take photos from an angle for inspection; the inspection cycle time was 0.16 seconds. 【Software Used】 Software used: EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' color package can perform inspections with the "Presence or Absence of Specified Color" feature.

  • Image Processing Software

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[AI Image Inspection Case] Inspecting Different Types of Electronic Circuit Boards

[AI Image Inspection Case] Inspecting Different Types of Electronic Circuit Boards

Detect the presence or differences of 17 connector ports and determine similar-looking imitations (different products)!

This is an inquiry about the implementation of circuit boards. Inspections related to circuit boards can be said to be the most common inquiries we receive. Our inspection software is already being used in various locations for image inspections of circuit boards. We have received samples shipped from an electronic component manufacturer. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to detect the presence or absence of 17 connector insertion points and differences, and we could determine visually similar items (different products) in 0.24 seconds. The areas indicated by the blue circles were detected due to color differences in the components. The areas indicated by the yellow arrows represent false detections that could not be completely eliminated through settings, but they are clearly smaller than the amount detected due to color differences, so they do not affect the inspection.

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[AI Image Inspection Case] Connector Insertion Inspection

[AI Image Inspection Case] Connector Insertion Inspection

We will detect the connector insertion part using AI image inspection software!

There was an inquiry about wanting to detect the parts that appear to protrude due to insufficient insertion as differences. This is from a customer in the plastic processing industry. 【Inspection Settings and Results】 Inspection was possible by using the "Comparison with Master Image" feature of EasyInspector. However, since the comparison with the master image detects differences as discrepancies if there are any "differences from the master image," there is a possibility of false detection if there are variations in the insertion quality among good products. Additionally, positioning is relatively strict for inspection purposes. The software called DeepSky, which utilizes deep learning, seems to be more suitable for this inspection. In this case, the software determines pass or fail by training on good and defective products. Compared to conventional procedural inspection software, it is more resilient to variations among good products, so the strict positioning required by EasyInspector may not be necessary, and it can distinguish between good and defective products even from images with subtle differences in insertion quality or the way cables are captured.

  • Image Processing Software

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[AI Image Inspection Case] Reading Printed Label Characters

[AI Image Inspection Case] Reading Printed Label Characters

We will read and determine the text on the label attached to the tube's parts!

Manufacturers active in various fields, particularly in medical and welfare equipment, are considering our character recognition functionality. Reading the characters on labels attached to cylindrical parts is expected to be challenging, as the appearance of the characters may change depending on the angle. 【Inspection Settings and Results】 The inspection software EasyInspector's "OCR Pro" was able to make a determination. Four inspection frames were set, and a total of 32 characters were evaluated in 0.57 seconds. The left image shows the inspection frame, while the right image shows the detection frame after binarization. The determination was based on the provided photos, but there are concerns about positioning due to the fact that they are manually applied by hand and the cylindrical shape. 【Software Used】 Software used: EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' RD (ReaDing) package can perform inspections with [OCR (character recognition)] and [machine learning OCR].

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[AI Image Inspection Case] Inspection of Product Labels and Nameplates

[AI Image Inspection Case] Inspection of Product Labels and Nameplates

We will conduct inspections to detect abnormalities in label nameplates using AI image inspection software!

The image inspection software "EasyInspector" allows for various inspections. Customers from the automotive parts and electronic circuit board sectors make up half of our clientele, and we serve a wide range of industries, including assembly verification of equipment and inspection of minute dirt on products. 【Inspection Settings and Results】 Based on the verification conducted with the samples we received, it was possible to detect abnormalities by using EasyInspector's "Comparison with Master Image" feature and "BAR/QR/OCR" function, while ensuring that the nameplate was not warped and by setting some masks. Our company is located in Hamamatsu City, Shizuoka Prefecture, where the manufacturing industry, including automotive parts, is thriving. We have a track record of providing support for over 2,000 cases and have developed inspection software that is easy to integrate and sold as a one-time purchase.

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[AI Image Inspection Case] Judgment of OK/NG for Metal Products

[AI Image Inspection Case] Judgment of OK/NG for Metal Products

Detect the presence or absence of holes in two locations of metal products and differences in their positions, and determine similar-looking imitations (different items)!

This is a request from a manufacturer of automatic packaging machines and medical device system design. Our company, SkyLogic, has over 2,000 examples of image inspection achievements. We have numerous inspection cases published, including metals, plastics, food, electronic circuit boards, and pharmaceuticals, so please check our website's case search tool to see if there are similar cases to the inspection you are considering. 【Inspection Settings and Results】 By using the "Comparison with Master Image" function of EasyInspector, we were able to detect the presence or absence of holes in two locations and differences in their positions, allowing us to determine visually similar look-alikes (different items) in 0.03 seconds. If inspections are to be conducted in a disorganized orientation, operations with another software called DeepSky can also be considered. This was a simple verification based on the images provided. 【Software Used】 Software used: EasyInspector710 Current 'EasyInspector2' color package can be used for inspections with the "Comparison with Master Image" feature.

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[AI Image Inspection Case] Inspection of Print Missing and Print Position

[AI Image Inspection Case] Inspection of Print Missing and Print Position

We will verify the misalignment of the white lines within the black areas of the printed material and the printing position!

We have received inquiries about our inspection software from manufacturers of printers and printing equipment. We will send samples and conduct a simple verification of the differences in "missing" and "position" of the printed materials. 【Inspection Settings and Results】 We conducted verification of the white lines within the black area and the misalignment of the printing position using the samples provided. We took photographs from directly above with a 20-megapixel camera. Due to the high resolution of the camera, the inspection time for conducting two types of inspections simultaneously was approximately 4.5 seconds per instance. (The actual time may increase depending on the number and range of inspection frames.) There were no defective samples with misalignment among the provided samples, but we can detect misalignments of about ±3mm.

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[AI Image Inspection Case] Inspection of Overlapping Defects in Opaque Film of Printed Parts

[AI Image Inspection Case] Inspection of Overlapping Defects in Opaque Film of Printed Parts

We will conduct a simple verification of the overflow of the transparent film applied to the printed part using AI image inspection software!

Our company provides daily support for inquiries regarding imaging environments that are difficult to capture characteristics such as "glossy work" or "black parts on a black background," which are directly related to accuracy. 【Inspection Settings and Results】 By using EasyInspector's "Dimension and Angle Inspection" feature, we were able to inspect one location in 1.94 seconds using three inspection frames. The field of view displayed on the inspection screen is approximately 255mm wide, and with a 20-megapixel camera, the horizontal pixel count is 5392 pixels. When calculating the actual size, it results in 1 pixel being 25.5÷5392 = 0.004729228. We measure how many pixels high and wide it is, then multiply by 0.004729 to measure the actual length. The images of the three setting screens show the settings for each inspection frame. The fourth image captures the protruding vertex portion of the enlarged inspection result.

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  • Image Processing Software

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[AI Image Inspection Case] Inspection of product label wear and tilt.

[AI Image Inspection Case] Inspection of product label wear and tilt.

We also support the use of AI image inspection software overseas!

This is a request for a simple verification from China. Our company has contracts with agents in China and Malaysia, and we are expanding sales locally. We may also introduce agents for inquiries related to the operations of Japanese companies' overseas manufacturing departments. This time, we will conduct a simple verification of the wear and tilt of the labels affixed to the products. 【Inspection Settings and Results】 Inspection was possible with EasyInspector. The left image shows the wear on the label and the settings for comparison inspection with the master image. The right image shows the angle of the label and the settings for the dimensional angle inspection function. By using this function, we were able to determine the wear and angle of the labels at three locations in 0.07 seconds. 【Software Used】 Software used: EasyInspector Current 'EasyInspector2' color package [comparison with master image] MS (MeaSure) package [position and width measurement] [angle measurement] can be used for inspection.

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[AI Image Inspection Case] Inspection of "Bumps" and "Scratches" on Aluminum Machined Products

[AI Image Inspection Case] Inspection of "Bumps" and "Scratches" on Aluminum Machined Products

We will inspect for any debris or oil contamination on aluminum processed workpieces!

We received samples from customers who attended the exhibition. The aluminum processing manufacturer was struggling with the presence of defects and oil contamination on the workpieces. In light of recent circumstances, such as the aging of skilled workers and the spread of the novel coronavirus, there has been a significant movement towards improving operational efficiency to address the lack of people gathering in factories and to realize work style reforms. Our company has been receiving inquiries from various client companies, and it seems that this trend is accelerating. We hope that our image inspection can contribute to your efficiency. [Inspection Settings and Results] Using "DeepSky," we were able to detect "defects" and "scratches." However, inspecting only one side does not allow for a comprehensive examination of all surfaces, so we reported a method for conducting inspections while moving the inspected items (changing the position of the lighting) in an easy-to-understand video. The left image shows the setup work for annotation, which outlines the defects we want to find, and the right image shows the detection frame.

  • Image Processing Software

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[AI Image Inspection Case] Short Shot and Gate Cut Defect Inspection

[AI Image Inspection Case] Short Shot and Gate Cut Defect Inspection

Automatically inspect defective parts of metal products!

The precision sheet metal processing manufacturer was experiencing issues with short shots and gate cut defects, and they inquired whether it was possible to perform automatic inspection of the defective areas. Our inspection software is easy to integrate into systems and can be operated simply like Windows, which has led to numerous inquiries not only from industrial machinery manufacturers but also directly from users. [Inspection Settings and Results] We have reported the results of the verification conducted on the samples we received. By using EasyInspector's "Color Comparison Inspection," we were able to detect differences from the master image (good product), identifying eight locations of short shots and gate cut defects in 2.79 seconds. The extent of misalignment and the method of frame installation can affect the results, but in this case, we performed separate misalignment corrections for four different workpieces, which took more time, resulting in an inspection time of about 2 seconds per instance. For operation, we will consider a conveyor with backlighting. The red display in the images indicates "Fail," while the blue display indicates "Pass" in the inspection results.

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