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 19 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated: Aggregation Period:Feb 18, 2026~Mar 17, 2026
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:Feb 18, 2026~Mar 17, 2026
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. 株式会社Roxy Aichi//IT/Telecommunications
  4. 4 藤川伝導機 Tokyo//Industrial Machinery
  5. 5 HACARUS Kyoto//others

Visual inspection software Product ranking

Last Updated: Aggregation Period:Feb 18, 2026~Mar 17, 2026
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 Image Inspection Case] Measurement of the Width of the Blade at the Center of the Drill スカイロジック
  3. AI visual inspection software "DeepSky" スカイロジック
  4. [AI Image Inspection Case] 7-Segment Display Reading スカイロジック
  5. 4 We will automate simple visual inspections such as forgetting to attach parts and the presence or absence of processing holes. エーディーディー

Visual inspection software Product List

301~330 item / All 466 items

Displayed results

[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
  • Visual inspection 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 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].

  • Image Processing Software
  • Visual inspection 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] 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.

  • Image Processing Software
  • Visual inspection 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 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.

  • Image Processing Software
  • Visual inspection 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] 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.

  • Image Processing Software
  • Visual inspection 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] 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.

  • image-17.png
  • Image Processing Software
  • Visual inspection 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] 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.

  • Image Processing Software
  • Visual inspection 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] 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
  • Visual inspection 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] 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.

  • Image Processing Software
  • Visual inspection 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] Support for Dimensional Inspection of Metal Products

We provide support for the dimensional inspection and operation of metal products!

This is an inquiry from an industrial equipment manufacturer with whom we have previously done business. EasyInspector can be used for various parts and defects, but the accuracy of detection can vary depending on the settings. Although it is a one-time purchase inspection software, we will continue to provide support after implementation. 【Inspection Settings and Results】 Regarding the method of inspection using "color presence inspection," in this case of the reverse image, it is likely that detection was possible because it happened to be slightly elevated. Therefore, we would like to put the inspection method for "color presence inspection" on hold and ask you to consider the inspection method using "dimensional angle inspection." Even in the case of "dimensional angle inspection," if the position of the inspection item is elevated (upward on the screen), it may not detect the correct angle. An effective method is to add another inspection frame, set up color inspection and other settings there, and check whether the inspection item is not elevated too much.

  • Image Processing Software
  • Visual inspection 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] Inspection of Presence or Absence of Burrs in Holes

We will inspect the presence or absence of burrs in metal parts processed by pressing using AI image inspection software!

This is an inquiry from a customer who is contacting us for the first time regarding the detection of irregular shapes such as elongated holes and round holes due to deformation or foreign material adhesion in metal parts with hole diameters ranging from φ2.0 to 6.5mm. The target products are between L70 and 200mm. Upon further discussion, it was revealed that the purpose was to detect burrs in the holes. They have sent us samples for a simple verification. 【Inspection Setup and Results】 We captured images of the surface where burrs occur (the surface marked with a marker) facing the camera. It is desirable to set up the inspection surface parallel to the camera sensor. While the software has a function to correct misalignment, we believe that fixing the workpiece with an L-shaped jig or similar will allow for more accurate inspections.

  • Image Processing Software
  • Visual inspection 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] Presence or Absence of Cushioning Sponge

We will check for the presence of cushioning sponge and plastic parts!

We will inspect the cushioning foam attached to the Styrofoam used for packaging the product. This inquiry comes from a manufacturer of woodworking and plastic processing machinery. They consulted us regarding the inspection of the presence or absence of gray and black cushioning foam attached to the front and back surfaces, stating that positional accuracy is not currently necessary. They would like to determine whether the foam is partially present or absent and whether it is applied overall. 【Inspection Setup and Results】 We conducted the inspection of the presence or absence of the cushioning foam using the sample images you provided. By using EasyInspector's "Presence of Specified Color Inspection," we were able to determine the presence of the cushioning foam. Additionally, we could also determine the presence of plastic parts using the same function. Since you provided images of the parts installed (front and back), we created test images in a paint software showing a state where some parts are missing (NG state) for verification. The left image shows the inspection frame, and the right image shows the detection frame.

  • Image Processing Software
  • Visual inspection 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] Surface Scratch Inspection of Resin Products

We will conduct surface scratch detection on resin products using AI image inspection software.

This is an inquiry from a sports equipment manufacturer. We will conduct surface scratch detection on resin products. 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. 【Inspection Settings and Results】 An inspection frame was installed at one location on the inspection surface, and settings were made using EasyInspector's "Scratch Detection" function. Detection was possible in 0.47 seconds. The lighting was set to make scratches appear black on the surface, and each value was adjusted to detect the black areas. Since no scratches exceeding the set values were detected in good products, they were deemed "pass." In defective products, the scratched areas appeared black and exceeded the set values, resulting in a "fail" judgment. The surface of the NG products appeared brighter around the scratches, making the scratched areas stand out more. However, if they had appeared with brightness similar to that of good products, it would have been necessary to adjust the detection sensitivity. In that case, sensitivity would be adjusted to a higher setting, which may increase the likelihood of false judgments. The installation position of the inspection items was set without "shift correction" on the premise that it would be fixed in the same position each time.

  • Image Processing Software
  • Visual inspection 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 Inspection on Plastic Product Trays

We will conduct a missing parts (counting) inspection of the components in the tray using AI image inspection software!

Due to the burden of counting small parts at a plastic parts manufacturer, we are requesting verification for automation of the counting process. This falls within the expertise of EasyInspector. A simple verification can be conducted by sending images. 【Inspection Settings and Results】 By using EasyInspector's "Presence of Specified Color Inspection" feature, we were able to inspect parts in 24 trays in 0.93 seconds. The left image shows the inspection settings. The right image indicates a misjudgment of the background color in the detection frame. Although you sent a 5-megapixel image, detection is possible even with a camera of about 1.3 megapixels for this type of inspection; reducing the pixel count will shorten the inspection time. If it is not necessary to identify (record) the locations of missing items, we can enclose the entire set (24 workpieces) within a single inspection frame. If the background of the inspected items is a transparent tray, placing a white paper underneath will enhance the contrast between the workpieces and the background, allowing for more stable and accurate detection in a shorter time. In the inspection settings, the report is configured with "Automatic/Default" for offset correction. If stable positioning can be achieved with jigs or similar tools, setting the offset correction to "None" will further reduce the cycle time.

  • Image Processing Software
  • Visual inspection 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] Determining Defects in Rollers

We will conduct a simple verification of the interruption of the liquid film on the roller using AI image inspection software.

The rollers of the printing manufacturer are rotating at high speed. If a defect occurs, it can continue to appear, and inspection can be performed with our image inspection software. This time, we will conduct a simple verification of the interruption of the liquid film. 【Inspection Settings and Results】 By using the "Scratch and Defect Inspection" feature of EasyInspector, it was possible to detect the interruption of the adhesive liquid film from the entire screen in 0.19 seconds. It can be considered that inspection can be performed with a frame capture every 0.19 seconds, but the inspection cycle may vary depending on the specifications of the computer and the settings of the inspection frame. 【Software Used】 Software used: EasyInspector310 (formerly EasyInspector) The current 'EasyInspector2' color package can be used for inspection【Scratch and Defect Detection】.

  • Image Processing Software
  • Visual inspection 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 Scratches on Delicate Parts

Detect scratches, abrasions, and dirt on delicate parts using AI image inspection software!

In manufacturers that handle delicate parts, defects such as scratches have led to accidents. Ideally, we would conduct a more reliable verification by sending sample products for testing, but our company also accepts numerous verifications using sample images. 【Inspection Settings and Results】 By using the "Scratch Detection" feature of EasyInspector, we were able to detect only the dark black areas from the entire screen at one location. In the left image, there are parts that are not scratches but have been detected. Since this area appears darker compared to other smudges and dirt, if we increase the sensitivity of the settings to the level that can detect the scratches in the right image, it will also incorrectly identify the acceptable areas in the left image as defects. 【Software Used】 Software used: EasyInspector710 The current 'EasyInspector2' color package [Scratch and Object Detection] can be used for inspections.

  • Image Processing Software
  • Visual inspection 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] Inspection of Labels and Leads

We will verify the incorrect insertion of lead wires and the presence of labels using AI image inspection software!

This was the first inquiry from a customer primarily manufacturing lighting fixtures, and they are considering the use of image inspection to verify the quality of assembly. Given the current social situation, we are also accommodating meetings via web conferencing. Unless specified otherwise, we often send invitations using "Microsoft Teams," but we can accommodate any common applications such as Zoom or Skype. After understanding the overview of our systems and software, it is common for us to receive sample submissions. 【Inspection Setup and Results】 We conducted verification of incorrect lead wire connections and the presence of labels using the samples we received. By utilizing EasyInspector's "Color Comparison Inspection Function," it was possible to determine good and defective products. The inspection was completed in 2.49 seconds per inspection frame across 11 inspection frames. After reporting the simple verification, we may receive requests for specific paid verification for operational purposes. Additionally, we can lend demo units to customers free of charge for them to experience the product firsthand.

  • Image Processing Software
  • Visual inspection 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 Dents and Seat Posts

Detecting dents and seat posts with AI image inspection software!

We have received a request for a simple verification of a new project from an overseas audio equipment manufacturer with whom we have previously done business. Since the release of our inspection software "DeepSky," which utilizes AI (deep learning), we have received various inquiries. Even major companies surprisingly have not fully automated their inspection processes. Automation is being promoted with the goals of pursuing stable inspection accuracy and reducing costs. As the shortage of personnel due to the aging workforce becomes more pronounced, we encourage you to consider improving operational efficiency through image inspection to protect "Made in Japan" manufacturing. 【Inspection Settings and Results】 We tried annotating the entire image you sent, but we were unable to identify it as expected, resulting in similar outcomes to what you verified. Even using a method that only trains on OK samples, nearly 90% of the NG samples were classified as OK. However, by assuming a method of determining based on the number of detections within a designated area, as proposed yesterday, and training on the sheet post and recess (5 teacher images), we found that we could achieve 100% correct detection with the images you provided this time. 【Software Used】 Software used: DeepSky

  • Image Processing Software
  • Visual inspection 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 Cracks in Parts

We will conduct crack inspection of parts using AI image inspection software!

We received a request for a simple evaluation regarding the inspection of cracks in parts from an audio equipment manufacturer we have been working with for some time. We received 16 sample images. 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. 【Inspection Settings and Results】 Out of the 16 images, 10 were used as training images. We inspected a total of 16 images, consisting of 10 training images and 6 untrained images (3 OK and 3 NG). We set the criteria to "pass" when there are 0 cracks detected and "fail" when 1 or more are detected, and we were able to detect all 16 images. Even with unknown images that were not trained, we were able to detect them as cracks. The image on the left shows the number of detected cracks displayed on the screen. 【Software Used】 Software used: DeepSky

  • Image Processing Software
  • Visual inspection 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画像検査事例】板金加工品の検査

板金加工品のさまざまな不良を検出し、対象の箇所に合わせた検査を行います!

精密板金のメーカーでは製品や部品の検査は欠かせません。今回は「曲げ未加工」「逆曲げ」「曲げ寸法違い」「ボール盤未加工」「BR未加工」「圧入ナット有無」「圧入ナットズレ」についての評価依頼です。 高いクオリティを維持するために弊社の検査ソフトをご検討いただいています。 【検査設定と検査結果】 EasyInspectorの「マスター画像との比較・指定色の有無検査」機能を使用することにより良品と不良の違いを検出し、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。 EasyInspectorでは様々な検査を1回のトリガーで一度に実行できる魅力があります。 無料サンプル評価では、まず頂いたサンプルまたは画像を使用して簡易検証を行い、検証結果を報告いたします。 簡易検証ではご要望の検出/判定が可能か社内の機器で評価します。簡易検証で検出や判定できた場合、実際の運用を想定したテスト(実現性検証)を行い、処理時間や判定精度などの評価を行うことをお勧めしています。実現性検証を行う場合、弊社で引き続き行う(有償)か、弊社貸出機を使って御社で検証されるかお選び頂けます。

  • Image Processing Software
  • Visual inspection 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] Inspection of Metal Rivet Lifting

Detect and evaluate the peeling of rivets using AI image inspection software!

This is a simple verification using sample images at the request of an industrial machinery manufacturer. When introducing image inspection, the shooting environment for the inspection area becomes very important. Recently, there have been many cases where it is difficult to send sample products due to compliance and security reasons. While we can accept verification through image submission, there may be instances where we cannot provide guidance for a better imaging environment. In such cases, we may suggest creating a model in-house to conduct the verification, even though the texture of the sample may change. 【Inspection Settings and Results】 When learning with defective images that have significant differences compared to good products as training data, it was possible to detect those with large differences as defects. However, there were some cases where it was difficult to detect those with small differences. Regarding image acquisition, we determined that detection would be difficult if imaging was performed at a free distance for the current inspection item. If the imaging environment is adjusted so that the rivet appears in the center of the image at the same size, there is a possibility that detection accuracy could improve. 【Software Used】 Software used: DeepSky

  • Image Processing Software
  • Visual inspection 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 Dents and Scratches on Metal Products

The AI image inspection software detects dents and scratches on metal products!

We conducted a simple verification of dents and scratches on metal products such as motorcycle and automobile parts. Due to their almost identical appearance, there were incidents of shipping similar defective products, which caused issues. In the inspection process, automation is being promoted with the aim of pursuing stable inspection accuracy and cost reduction. As the shortage of personnel due to the aging workforce becomes more pronounced, we encourage you to consider improving operational efficiency through image inspection to protect "Made in Japan" manufacturing. 【Inspection Settings and Results】 Using the samples we have on hand for verification, we were able to detect dents and scratches. However, small dents and scratches present on good products, or surface conditions that appear as such in images, were detected as abnormalities. For extremely small items, we believe there are ways to address this by categorizing detection targets into "large dents" and "small dents," and only marking it as NG when a "large dent" is found.

  • Image Processing Software
  • Visual inspection 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] Solder Acceptability

The AI image inspection software determines the acceptability of the solder on the cable.

We received a request for a simple evaluation from a manufacturer specializing in wireless power supply and charging products, which we have previously contacted. Visual inspection is often seen as a simple task, but it requires the skill to determine "OK" or "NG," and it may not be a task that everyone can perform consistently. Factors such as physical condition and prolonged working hours can lead to fatigue, which is one of the causes of unstable inspection results. Our company is also developing inspection software that can identify fine scratches and dirt, enabling judgment similar to that of skilled workers. 【Inspection Settings and Results】 We tested with the 10 images provided. The images were assigned as follows: 1-3 → Test images, 4-6 → OK training data, N7-N10 → NG training data Although we could not secure enough NG test images due to the small number, we conducted training with 7 images and were able to correctly classify the 10 images. 【Software Used】 Software used: DeepSky

  • Image Processing Software
  • Visual inspection 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] Short Inspection of Plastic Molded Products

Detect subtle shorts in plastic molded products with AI image inspection software!

The samples you sent this time included a clear significant short and a subtle short that is not easily noticeable at first glance. It was confirmed that even minor shorts exhibited surface roughness associated with the short. With the inspection using EasyInspector, it would be easier to report if you could send us a "master image (good product)" and a "defective product that seems the most difficult to detect." 【Inspection Settings and Results】 Using EasyInspector's "color comparison inspection - comparison with master image" inspection function, we were able to conduct the inspection in 0.45 seconds. Even subtle shorts that were close in shape to the master image were detected for surface roughness (reflected white) and judged as unacceptable. The arrow markings in the photo are also white, but this time they were excluded from detection due to the non-detection pixel settings.

  • Image Processing Software
  • Visual inspection 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] Determining similar but different products based on differences in hole positions of resin molded items.

Detect the presence or absence of holes in eight locations of resin molded products and identify visually similar counterfeit items (different products)!

Automotive parts and other resin-molded components may have variations in the presence or position of holes due to differences in specifications. However, in the case of similar products, accidents have occurred where similar but different items were shipped because they looked almost identical. [Inspection Settings and Results] By using the "Comparison with Master Image" feature of EasyInspector, we were able to detect the presence or absence of holes and positional differences in eight locations, allowing us to determine similar-looking items (different products) in less than one second. [Software and Equipment Used] Software Used: EasyInspector300 Field of View: 400 x 300mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 8 Camera Resolution: 1.3 Megapixels (Basler acA1300-75gc) Lens Focal Length: 6mm Distance Between Lens and Product: 300mm Lighting: Backlight The current 'EasyInspector2' color package can perform inspections using the "Comparison with Master Image" feature.

  • Image Processing Software
  • Visual inspection 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] Surface Inspection of Molded Products

Manufacturers of plastic and rubber products also utilize our image inspection software for defect detection.

One of the frequently asked points from end users who are introducing image inspection for the first time is the ability to operate it in a manner similar to Windows software. This year, we have also developed related software that is useful for actual operations, such as the highly requested "simultaneous inspection and counting on a conveyor" and "OCR for difficult-to-read engravings." Additionally, we can add an optional "extended command" that enables a wide range of system operations. [Inspection Settings and Inspection Results] The image involves a task called "annotation," where the area to be detected is enclosed in a frame. By "training" the enclosed area, we were able to detect the target. Furthermore, as an image of actual operation, for example, when an abnormality is found while continuously photographing moving products, actions such as lighting a lamp, sounding a buzzer, or stopping the conveyor can be performed.

  • Image Processing Software
  • Visual inspection 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] Identification of Automotive Interiors

We will perform interior identification of automobiles using AI image inspection software.

The interior of vehicles, such as cars, can be customized in terms of color and decoration according to the grade. We received an inquiry regarding color matching from an industrial machinery manufacturer with whom we have had previous dealings. They sent us sample images, and we conducted a simple verification. Our company website offers a free trial of our inspection software online. You can also experience our inspection software that uses AI (deep learning) firsthand. 【Inspection Settings and Results】 Out of 45 images, 15 (5 each) were used as training images. We inspected a total of 45 images, including the 15 training images and 30 untrained images. The result was that all 45 images were correctly detected. The breakdown of the images is 11 silver, 19 red, and 15 white. 【Software Used】 Software used: DeepSky

  • image-11.png
  • Image Processing Software
  • Visual inspection 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] Determining Nail Implementation

We are detecting and assessing the quality of the equipment's claws using AI image inspection software!

This is an inquiry from a FA control equipment manufacturer. Visual inspection is often seen as a simple task, but it requires the skill to determine "OK" or "NG," and it may not be a task that everyone can perform consistently. Factors such as physical condition and prolonged working hours can lead to fatigue, which is one of the causes of unstable inspection results. Our company is developing inspection software that can identify fine scratches and dirt, enabling inspection judgments similar to those made by skilled workers. 【Inspection Settings and Results】 The device's claw mounting is being judged as good. The software allows for image data collection, learning, and setting of judgments in a manner similar to operating Windows software. It is an easy-to-integrate inspection software available for a one-time purchase. "DeepSky" offers a trial service online, so please check our website even for inspection cases you may have previously given up on. 【Software Used】 Software used: DeepSky

  • Image Processing Software
  • Visual inspection 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] Gap and Shape Defect Inspection

The AI image inspection software detects and evaluates joint gaps and shape defects from product images!

This is an inquiry from an electronic component manufacturer. Recently, there has been an increase in business locations where sending samples is difficult due to compliance and security concerns. DeepSky will create settings by learning from defective areas. Therefore, depending on the inspection content, if sending samples is difficult, it will be necessary to prepare about 20 to 30 images of good products and defective product data. First, it is essential to understand what kind of inspection content is involved, and it often starts with sending a few images of both acceptable and unacceptable products. [Inspection Settings and Results] As a result of the verification conducted with the images you provided, it was possible to distinguish between good and defective products. Since the images were 8-bit monochrome images, they were converted to 24-bit before verification. This verification was conducted using software called DeepSky, which utilizes AI (Deep Learning). By training the software to recognize the areas to be detected, it adjusts its own setting parameters and learns to recognize them. Good and defective products were trained with different labels to enable identification.

  • Image Processing Software
  • Visual inspection 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] Determination of the Polarity of Circuit Board Capacitors

We will conduct polarity inspection of circuit board capacitors using AI image inspection software!

In recent years, the decrease in the labor population has become a social issue, and amidst this, the necessity for AI in inspections within the FA industry is increasing to maintain quality. Even among acoustic equipment manufacturers, our image inspection software is being considered. This time, we received a request for evaluation of polarity inspection for circuit board capacitors. 【Inspection Settings and Results】 A total of 23 images were used, including 3 images for NG evaluation, with a total of 11 training images consisting of 5 OK images, 5 NG images, and 1 evaluation image. Only the polarity markers of the capacitors were annotated, and after executing 12,000 steps of learning, judgments were possible. DeepSky is designed to include only the necessary functions for detection and judgment, and we plan to develop external applications for functions that may be required for customer-specific operations. 【Software Used】 Software Used: DeepSky Learning Version Number of Inspection Points: 8

  • Image Processing Software
  • Visual inspection 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