Visual inspection software Product List and Ranking from 19 Manufacturers, Suppliers and Companies

[AI Image Inspection Case] Defect Inspection of Crimp Terminals

We will determine the presence or absence of crimping on the harness cable with connectors, the color order of the colored wires, and the confirmation of tightening screws at four locations on the circuit board!

This is an inquiry from a specialized trading company in automatic control. It involves determining whether crimping is present on harness cables with connectors, assessing the color order of about eight bundled colored wires, and confirming the tightening of screws at four locations on the circuit board. It seems that there are multiple types of cables, and this time we decided to utilize the strengths of both DeepSky and EasyInspector for the evaluation. 【Inspection Settings and Results】 Since the inspection items for insertion errors and defective crimp terminals are different, we verified each with separate software. For the cable insertion errors, we used EasyInspector to check for the presence of specified colors, while the inspection for defective crimp terminals was verified using the software DeepSky. Each software has its strengths and weaknesses. → EasyInspector struggles with inspections that have an infinite number of patterns. → DeepSky is not good at determining when one out of several colors is different. The left image shows the detection frame from DeepSky, and the right image shows the detection results from EasyInspector.

Company：スカイロジック
Price：Other

Image Processing Software
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[AI Image Inspection Case] Judgment of Harness Bundling Defects

We will detect defects where the harness leaks from the end band using AI image inspection software!

We received a contact from a manufacturer of electronic components and devices regarding an issue where harnesses were slipping out of the binding process after wiring multiple harnesses with cable ties, causing difficulties. We suggested that it might be possible to conduct an inspection by counting the number of cable ties after receiving preliminary images, and subsequently, we actually took a sample for verification. [Inspection Setup and Results] In a simple verification, we were able to determine that the results were satisfactory. Regarding operations, we will consider the details while discussing the conditions in meetings. Given the current social situation, most meetings are held via web conference, but it is also possible for you to visit us directly. Many nearby manufacturers often bring samples, and since Hamamatsu City in Shizuoka Prefecture is an area with a thriving manufacturing industry, we have a track record of providing support to various industrial machinery manufacturers, control equipment manufacturers, and end users. We are also accepting inquiries for inspections that you may have previously given up on. [Software Used] Software Used: DeepSky Learning Edition Number of Inspection Points: 1

Company：スカイロジック
Price：Other

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[AI Image Inspection Software] Determines scratches and dents on cover parts.

We will conduct an inspection to determine whether we can detect defects such as scratches, thread damage, and dents on the cover parts!

At the request of a battery charging and discharging equipment manufacturer we have been dealing with for some time, it is important in image inspection to determine whether we can clearly capture the defects such as "scratches" and "scuffs" that we want to identify. 【Inspection Settings and Results】 We rotated the received images by 60 degrees each, resulting in a total of 36 training images. Based on the images we processed, the scratches that were difficult to see were successfully detected using the images taken with the lighting you provided. If we cannot conduct verification with sample products, we cannot determine whether the defects we want to detect can be captured in the image inspection. We will ask you to send images where defects have been captured using various lighting techniques for evaluation. As expected, in the case of free evaluations, due to the fact that detection was performed on specific defective sample images and our imaging environment, we often guide users to actually experience it through the "demo machine trial service." 【Software Used】 Software Used: DeepSky Learning Version Number of Inspection Points: 1 (to find scratches and scuffs from the entire screen)

Company：スカイロジック
Price：Other

Image Processing Software
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[AI Image Inspection Case] Detection of Solder Balls on Circuit Boards

Detect and evaluate solder balls on the circuit board using AI image inspection software!

Until now, we have posted several inspection cases of circuit boards using EasyInspector, but for inspections that determine "NG" if a solder ball is found anywhere on the entire board, we recommend DeepSky. DeepSky excels at inspections that classify a finding as defective if even one is discovered anywhere on the screen. 【Inspection Settings and Results】 By using the inspection function of "DeepSky," we were able to detect solder balls from the entire area and determine the inspection of one screen in 0.39 seconds. The work is displayed across the entire screen, and the task of finding the defective solder balls is referred to as "annotation," which involves surrounding the area with a frame. When the annotation is successful, parameters can be set for good judgment. To allow you to "experience" how much easier it is to set up compared to previous inspection software, the AI-based software DeepSky can be tried out on our company website. 【Software and Equipment Used】 Software used: DeepSky Field of view: 40x 30mm Minimum size of inspection target: 1mm Number of inspection points: 1 location, entire area Camera resolution: 1.3 million pixels Lens focal length: 25mm Distance between lens and product: approximately 200mm

Company：スカイロジック
Price：Other

Image Processing Software
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[AI Image Inspection Case] Detection of Cracks in Metal Parts

Detect cracks in metal parts with AI image inspection software!

This is a request for a simple verification from a manufacturer we have been working with for some time, who specializes in high-quality casting, machining, plastic processing, and the manufacturing and sales of acoustic products, delivering both domestically and internationally. This time, the focus is on cracks in the parts, and we attempted to analyze the provided images. Regarding "small cracks," we have been able to secure a sufficient number of samples, allowing us to hypothesize reasons for those that were not detected. However, for "large cracks" and "arm cracks," the limited number of samples resulted in insufficient findings in this verification. The report primarily features images of "small cracks," while other defects are included as reference images. Elements that are smaller, thinner, shorter, or darker than the cracks we were able to detect in this verification have not been identified. For "small, thin, and short" cracks, it is highly likely that they were not detected due to their size being too small relative to the overall field of view, and there is a possibility that dividing the field of view could allow for detection at the current resolution. For "thin and dark" cracks, it may be necessary to reconsider the imaging method. Additionally, if there are fundamentally difficult-to-detect types of defects, such as shallow cracks, the difficulty of detection increases significantly.

Company：スカイロジック
Price：Other

Image Processing Software
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[AI Image Inspection Case] Front and Back of a Washer

The AI image inspection software will distinguish between the front and back of the washer!

We identified the front and back of washers based on requests from manufacturers of high-performance automotive parts and precision machined products. Since we had several types of washers in stock, we conducted a simple inspection using a model we prepared instead of the samples sent by the customer. 【Inspection Setup and Results】 Upon checking with the washers we have, we found it possible to recognize those with and without a taper as different items, so we believe that the inspection you inquired about is likely feasible. In the images, we used our software called DeepSky to train the system, designating the side with the taper as "Front" and the flat side as "Back" for judgment. To conduct a more detailed verification, there are generally two methods available: (1) Providing images that can be inspected on the customer’s side: If you can provide images taken directly from above the inspection item with a fixed distance from the camera lens to the item, we can consider whether we can perform the inspection. (2) Using a loaned device for verification on the customer’s side: It is also possible for you to directly assess the inspection feasibility using our loaned equipment. Depending on the availability of the equipment, you may need to wait your turn.

Company：スカイロジック
Price：Other

Image Processing Software
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[AI Image Inspection Case] Cracks in the Peripheral Area

We will inspect the cracks on the outer surface of special steel tools using AI inspection software!

This is an inquiry from a manufacturer of special steel parts such as automotive components. We have decided to conduct a simple verification regarding cracks in the riveting area. In visual inspections conducted by workers, there is often variability in the criteria for determining "good" and "defective" products among inspectors, and the more ambiguous the judgment based on severity, the more inconsistent the inspection results tend to be. We propose stable and efficient inspections using image analysis. 【Inspection Settings and Results】 It was determined that inspecting cracks on the outer circumference is difficult, as they cannot be captured from above, and side imaging tends to misdetect shadows from the uneven shape. In the range we verified, diagonal surfaces cast shadows when imaged from above, making it impossible to capture the cracks themselves. Detection from the side is also unstable, making inspection of these diagonal surfaces challenging. However, cracks on the upper surface that can be captured from above were detectable. Additionally, the presence or absence of burrs was also detectable from above. Our company website offers a free trial of our inspection software online. You can actually experience inspection software that uses AI (deep learning).

Company：スカイロジック
Price：Other

Image Processing Software
Visual inspection software

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[AI Image Inspection Case] Defect Detection of Sheet Metal Parts

Detect defects in sheet metal parts with AI image inspection software!

This is support after the introduction of DeepSky, a manufacturer of sheet metal parts for transport machinery and construction machinery. DeepSky can be used for various parts and defects, but the detection accuracy may vary depending on the settings. Although it is a one-time purchase inspection software, we will continue to provide support after the introduction. This time, we received a consultation regarding difficulties with learning. 【Inspection Settings and Results】 We received information about the varieties that were not working well and removed the "OK" label from the annotations. We also adjusted the annotation frames to only cover the defective areas and labeled them with two types: "NG" and "NG Crack" for learning purposes. Since the annotation frames were relatively large, I suspect that during learning, the AI might have recognized it as "there is an NG item roughly in this position on the left" rather than "looking at the defect," which may have caused confusion when NG items appeared on the right side as well. The size of the annotation frames is a significant factor affecting the accuracy of the defect positions in the teacher images. 【Software Used】 Software used: DeepSky

Company：スカイロジック
Price：Other

Image Processing Software
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[AI Image Inspection Case] Washer Discrimination

We will conduct an inspection to identify discoloration of parts (washers) using AI image inspection software!

This is a request for a free evaluation to distinguish discoloration in parts (washers). We received an inquiry from a manufacturer that produces everything from fine electronic components to large fire-resistant glass. While looking forward to future developments, we conducted a simple verification test to identify the washers as an entry point. In the free sample evaluation, we will first conduct a simple verification using the samples or images provided and report the results. During the simple verification, we will evaluate whether the desired detection/judgment can be achieved using our internal equipment. If detection or judgment is possible in the simple verification, we recommend conducting a test (feasibility verification) assuming actual operation, where we will evaluate processing time and judgment accuracy. If feasibility verification is to be conducted, you can choose to continue with our company (for a fee) or use our loaned equipment for verification at your company. [Inspection Settings and Results] We labeled the normal washers as OK and the washers with part of them painted black as NG. We annotated six images with changed positions for the time being. The detection was accurate. It is possible to set how many OKs are needed to pass or if there is any NG to fail. Other detailed settings allow for recognition point counts and area judgments.

Company：スカイロジック
Price：Other

Image Processing Software
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[AI Image Inspection Case] Defects in Pressed Assembly Products

Detect defects in press assembly products from valve parts!

Even manufacturers that globally deploy valve parts are considering our inspection software. Our software is utilized in specialized and intricate products across various industries. 【Inspection Settings and Results】 The task of enclosing the parts to be detected in a rectangle for parameter generation is called annotation. Each part is registered with the Label name shown in the right image, and it is set up so that if there is even one defect, it will be deemed a failure. We would like you to consider stable production through the automation of inspections, especially for products that require a high level of solution. 【Software and Equipment Used】 Software Used: DeepSky Learning Edition Field of View: Approximately 78 x 62 mm Minimum Size of Inspection Target: 2 mm Number of Inspection Points: 1 point, detecting defects from the entire screen Camera Resolution: 1.3 million pixels Lens Focal Length: 12 mm Distance Between Lens and Product: Approximately 150 mm Lighting: Ring lighting Distance Between Lighting and Inspection Item: Approximately 100 mm above

Company：スカイロジック
Price：Other

Image Processing Software
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[AI Image Inspection Case] Inspection of Chipped and Skimmed Circular Saws

The AI image inspection software detects and distinguishes chips and gaps in the saw blades!

This is an external inspection at a metal parts manufacturer that produces chip saws. Although the inquiry was about dimensional angle inspection, upon discussion, it became clear that the request was for the detection of chipping and scratches. 【Inspection Setup and Results】 For the time being, we verified larger chipping and scratches, and it seemed that they could be detected without any issues. If it is something that can be detected by DeepSky (our AI inspection software), we can automatically conduct continuous inspections as shown in the video, stopping and notifying when a defect is found. We also conducted a demonstration where the saw's rotation was manually operated, and an NG was issued when an abnormality entered the field of view. 【Software Used】 Software Used: DeepSky Number of Inspection Points: 1 location, entire screen

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Judging Scratches on Glossy Metal Plates

Detecting scratches on metal plates with AI image inspection software!

We will test the detection of scratches on metal sheets based on an inquiry from a copper manufacturer. This involves verification using provided photos. A copper sheet approximately 1mm thick is rolled up like toilet paper, and we are considering whether to inspect it while capturing images at low speed during the rolling process or to stop the line to take pictures and then inspect. In the first stage of a simple free evaluation, we were able to detect the scratched areas, but we are mistakenly detecting white areas on the image that are not scratches, making it difficult to distinguish. If we can improve the lighting to illuminate as wide an area as possible uniformly, inspection seems feasible. The images provided were used as "training data," and this is the result of the processing. Since these are training data images, we can make highly accurate judgments. The numbers represent the AI's confidence level percentage, referred to as "recognition points." [Software Used] Software: DeepSky Learning Version Number of inspection points: 1 across the entire screen

Company：スカイロジック
Price：Other

Image Processing Software
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[AI Image Inspection Case] Determination of the Front and Back of a Nut

We will distinguish between the processed surface (front) and the unprocessed surface (back) of the nut!

Even with the same material and similar shapes, there are many cases where texture can be perceived and judged. We also sell to trading companies and industrial equipment manufacturers. Please feel free to contact us. 【Inspection Settings and Results】 It was possible to determine the presence or absence of processing (front or back) of the nuts through image processing using deep learning. Since there is almost no difference in the images between those that had chips removed and those that did not, they were treated as the same for inspection purposes, and a total of 20 pieces, 10 processed and 10 unprocessed, were used as training data, resulting in good judgment. Deep learning is one of the machine learning methods that teaches computers to learn the thinking processes that humans naturally perform. Our inspection software, DeepSky, is designed with this AI technology. 【Software Used】 Software Used: DeepSky Learning Version Number of Inspection Points: 1 (Determining whether the workpiece is front or back)

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Determining Gear Chipping

The AI image inspection software will determine the chipping of gears!

We received an inspection request from a manufacturer of production equipment. The inspection is for determining the chipping of a metal product, specifically a "gear." They sent us images of 20 defective items and 5 acceptable items. For some workpieces that are difficult to send as samples, verification can sometimes be done through photographs. 【Inspection Settings and Results】 Using DeepSky's inspection function, we were able to accurately determine the chipping of the metal workpiece (gear). The process of setting up the areas to be detected by enclosing them in rectangles is called annotation; in this case, we only enclosed the defective parts for training. The images show the detection frames. The numbers indicate the AI's confidence level percentage (number of recognition points). If the number of recognition points is low or if there are misjudgments, further training can be conducted. DeepSky, released in 2020, is easy to set up, does not require fixed positioning, can detect various types of defects in shapes, and is particularly good at detecting defects in shiny workpieces like metal products. We have reported numerous evaluations of metal product inspections. 【Software Used】 Software Used: DeepSky Learning Version Number of Inspection Points: 1 (detecting defects from the entire screen)

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Judgment of Metal Cutting Chips

We will use AI image inspection software to determine defects caused by chip adhesion on metal workpieces!

We received a request for evaluation from a manufacturer of production equipment. This pertains to the judgment of defects caused by metal chips adhering to the workpiece. The DeepSky system released in 2020 is known for its ease of setup, the elimination of the need for fixed positioning, its ability to detect various shapes of defects, and its proficiency in detecting defects in shiny metal products, leading to numerous evaluations of metal product inspections. 【Inspection Setup and Results】 To determine the "metal chips inside the workpiece's hole," we made adjustments to the lighting. We attempted an inspection that captures images inside the hole, and this time, the bottom of the hole was clearly visible, allowing for accurate judgment. The initial evaluation is a report on whether simple detection is possible; however, depending on the position and shape of the defects, there may be instances where detection is challenging. After our free evaluation, we would like customers to directly experience the accuracy and setup methods before implementation, so we kindly ask you to utilize our free demo unit lending service. 【Software Used】 Software Used: DeepSky Learning Edition Minimum Size of Inspection Target: 2mm Number of Inspection Points: 1 (finding defects from the entire screen) Lighting: Coaxial Illumination

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Determining the Wear of a Saw Blade

We will determine the wear of the saw blade using AI image inspection software!

It seems that manufacturers are struggling with various defect detections for saw blades, just like with other metal products, including issues such as unprocessed areas, dents, compression marks, chips, and foreign objects. For image inspection of shiny metal workpieces, please contact our company. This time, we are detecting wear on saw blades based on a verification request from a trading company we have been dealing with for some time. 【Inspection Settings and Results】 The judgment was made based on the NG images provided. Although we were unable to make sufficient settings due to difficulties in comparing with good products, we were still able to make some judgments, though some were misjudged. We report this as one result. The images show the defective areas that were successfully detected, highlighted with a light blue frame. The numbers indicate the confidence percentage (number of recognition points) from the inspection software. 【Software Used】 Software used: DeepSky Learning Edition Number of inspection points: 1 location (finding the worn area from the entire screen)

Company：スカイロジック
Price：Other

Image Processing Software
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[AI Image Inspection Case] Detection of Wrinkles, Dents, and Impressions on Metal Balls

The AI image inspection software detects defects in metal products such as "ball wrinkles," "tapered area dents," and "tapered area impacts"!

We will verify whether we can detect "dents on the ball," "dents on the tapered section," and "indentations on the tapered section" based on a request from an industrial equipment manufacturer. By creating a striped pattern on the reflective part of the ball, it becomes easier to identify the dented areas due to the resulting step difference. 【Inspection Settings and Results】 We inspected 25 images, including 10 images of "dents on the ball," 5 images of "dents on the tapered section," 5 images of "indentations on the tapered section," and 5 images of "good products." Out of the 25 images, 22 were correctly identified as either good products or defective parts. The three images of "dents on the tapered section" could not be recognized as defective parts; however, considering that in actual operation, multiple shots (around 3 times) are expected to be taken during one full rotation, it does not necessarily mean that the defective parts that were not recognized in the verification will always go unrecognized.

Company：スカイロジック
Price：Other

Image Processing Software
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[AI Image Inspection Case] Grommet Presence Inspection

We will inspect the presence or absence of eyelets and rubber parts using AI image inspection software.

In the manufacturing of metal press products such as automotive parts, there is often a process for attaching eyelets. This time, we will conduct inspections for the presence or absence of eyelets and rubber parts. We received good products and defective products that do not have all the parts attached. 【Inspection Settings and Results】 Using DeepSky's inspection function, we were able to classify good products and defective products without all the parts as negative by using them as teachers and marking random positions where eyelets are missing. It is set to pass only when the correct quantity of eyelets (and rubber parts) is detected. If even one eyelet is missing, it will be marked as negative due to quantity mismatch. If you want to check "which eyelet is missing," it is possible to use the area specification function, but for now, we conducted the inspection with settings to determine only OK or NG. The left image shows the work of enclosing the parts we want to teach, called "annotation." The right image is the detection frame image, where the numbers represent the AI's confidence level percentage, referred to as "recognition points."

Company：スカイロジック
Price：Other

Image Processing Software
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[AI Image Inspection Case] Inspection of Welding Defects

Detects defects such as bead misalignment, blowholes, and tears in the joints of metal welded parts!

Metal welded parts, such as automotive components, often have defects like bead misalignment, blowholes, and tears due to specification differences, which have been common inquiries for a long time. Previously, inspections were conducted using EasyInspector with fixed positioning, but with the inspection capabilities of DeepSky released in 2020, it has become easy to set up inspections without fixed positioning. 【Inspection Settings and Results】 The target areas to be detected were enclosed in frames and labeled by type. A total of 14 images were used as training data, consisting of 8 OK images and 6 NG images. The learning process was executed for 2,000 steps, and the graph converged in about 16 minutes. The time may vary depending on the specifications of the PC used. In this inspection, since we are detecting the defective areas that were trained, it was set so that if even one defect is detected, it would be considered NG (only OK when the count is from 0 to 0), allowing for the detection of welding defects.

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Detection of Scratches on Screws

The AI image inspection software detects scratches on screws!

Even manufacturers who specialize in precision cutting and grinding processes are utilizing our inspection software for high-quality precision machining technology and quality management systems. 【Inspection Settings and Results】 As a result of verification using the samples provided, it was possible to detect scratches on the screws. The inspection was conducted using a software called DeepSky, which employs AI (Deep Learning). By training the software to recognize the desired scratches, it adjusts its own setting parameters to identify them. Five samples were photographed from different angles and the opposite side, resulting in 22 training images, with the left image set as the reference. The right image shows the detection frame. 【Software and Equipment Used】 Software Used: DeepSky Field of View: 30 x 25mm Minimum Size of Inspection Target: 0.2mm Number of Inspection Points: 1 overall Camera Resolution: 1.3 million pixels Lens Focal Length: 35mm + 5mm close-up ring Distance Between Lens and Product: Approximately 160mm Lighting: Indoor fluorescent lights

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Inspection of scratches and dents on pressed parts

We inspect defects such as scratches and dents on pressed products using AI image inspection software!

Deformation of the insertion port in cassette gas products can lead to significant accidents. We hope that our inspection software will be useful for your safety. In this free evaluation, we used the software DeepSky, which employs AI (Deep Learning) for inspection. By training the software on the areas we want to detect, it adjusts its own setting parameters and learns to recognize them. [Inspection Settings and Results] By using DeepSky's inspection capabilities, we determined multiple types of defects. We assessed the presence or absence of each type of defect based on scratches, shadows, and reflections, achieving a judgment time of 0.33 seconds. The labels were divided into three categories: scratches, shadows, and reflections, and we set up the software to learn the specific defects we wanted to identify. The method of specifying these defects and how to capture the images is crucial for image inspection.

Company：スカイロジック
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[AI Image Inspection Case] Character Recognition of Semiconductor Laser Chips

We will perform character recognition of semiconductor laser chips using AI image inspection software!

The ferrule made from polyphenylene sulfide (PPS), a thermoplastic resin, is a connector that allows for the high-precision, high-density mass connection of multi-core optical fibers. However, a resolution of 0.01μm in image processing is essential, making it a very challenging situation, and there was a request for hole pitch measurement of the MT ferrule. Additionally, there were multiple inquiries regarding character recognition of semiconductor laser chips and measurement of the amount of adhesive droplets. 【Inspection Settings and Results】 For character recognition of semiconductor laser chips, by using the "OCR Pro" function of EasyInspector, it was possible to read numbers at one location (15 characters) and make a judgment in 0.2 seconds. 【Software Used】 Software Used: EasyInspector Number of Inspection Locations: 1 (15 characters)

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Blu-ray Recorder Rear Display Inspection

The rear display of the Blu-ray recorder with the same shape detects faded printing defects!

It is common in any industry to manufacture seemingly similar products on a single line. Even in audio equipment manufacturing, there have been incidents where the rear display of Blu-ray recorders of the same shape was mistakenly swapped, or defects occurred where the printing was smudged and unreadable. 【Inspection Settings and Results】 By using EasyInspector's "Comparison with Master Image" function, we were able to detect six printing discrepancies and determine visually similar counterfeit products (different items) in 0.36 seconds. Since a printing deviation of approximately ±1mm is considered acceptable, it would be deemed unacceptable under the current inspection settings, necessitating some adjustments. For example, one could set the verification level to a larger value or set the deviation correction for each inspection frame to "automatic" to perform corrections at various points, while conducting separate dimensional angle inspections for positional deviations. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: Approximately 200 x 130mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 6 Camera Resolution: 3 million pixels Lens Focal Length: 12mm Distance from Lens to Product: 280mm Lighting: Indoor fluorescent lights

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Laser Diode Serial Number Character Recognition

We will conduct serial number character recognition inspection of laser diodes using AI image inspection software!

We received an inquiry regarding the optical character recognition of serial numbers on laser diodes from an electronic component manufacturer. Our inspection software, EasyInspector, enhances processing speed by converting characters into two colors, black and white, to clearly define the boundary between the inspection target and the background (binarization). By using the "OCR Pro" feature of EasyInspector, we were able to detect the presence and positional differences of three holes, allowing us to determine visually similar counterfeit products (different items) in 0.05 seconds. This evaluation was based on the images provided. The image on the right shows the display when inspection results are recorded in a CSV file. In this way, all inspection results can be recorded, and it is also possible to keep a visual record.

Company：スカイロジック
Price：Other

Image Processing Software
Visual inspection software

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[AI Image Inspection Case] Measurement of Metal Parts Dimensions (3)

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

The metal parts used by automobile manufacturers may sometimes be shipped with defects such as dents or black spots, but if the dimensions are incorrect, it is pointless. This led us to use our software to inspect those dimensions. 【Inspection Settings and Results】 Using the "Dimension Angle Inspection" feature of EasyInspector, we measured three different areas with varying lengths. First, to clearly define the edges, we used backlighting; however, when the inspection object was placed directly on the backlight, the light reflected irregularly, causing the edges to appear blurred. Therefore, we took the photos at a distance of about 40mm from the backlight, placing the object on a glass surface. Since the inspection object appeared dark, we detected the bright and dark areas from top to bottom to measure the dimensions.

Company：スカイロジック
Price：Other

Image Processing Software
Visual inspection software

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[AI Image Inspection Case] Terminal Deformation Inspection

Detect deformation of electronic component terminals with AI image inspection software!

In an electronic component manufacturer, if the terminals do not function properly, the product cannot be established. Issues such as incorrect wiring combinations or deformation of the terminals can be cited as problems. This time, we received an inquiry to inspect whether the terminals are deformed using image processing. 【Inspection Settings and Results】 Using the "Color Comparison Inspection" function of EasyInspector's "Comparison with Master Image," we set inspection frames on four terminal areas to detect differences from the good product master image. The pass/fail criteria were established based on the minimum value when inspecting defective products, allowing us to determine pass or fail. 【Inspection Settings and Results】 Software Used: EasyInspector310 Number of Inspection Points: 4 Camera Resolution: 1.3 million pixels Lens Focal Length: 50mm Distance Between Lens and Product: Approximately 210mm Lighting: Thin Ring Lighting The current 'EasyInspector2' color package can perform inspections using the "Comparison with Master Image."

Company：スカイロジック
Price：Other

Image Processing Software
Visual inspection software

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[AI Image Inspection Case] Quantification of Texture in Resin Molded Products

We will quantify the texture of fiber-reinforced resin molded products.

This is an inquiry from a customer who wishes to quantify the texture of fiber-reinforced resin molded products. The preliminary verification is based on the images provided. For accurate verification, sending samples that can also provide guidance on the imaging environment is the most reliable way to ensure stable reporting. However, there are also many requests to send images via email. After determining the pass/fail status through simple inspection, we will proceed with verification while considering the operational methods. 【Inspection Settings and Results】 By using the "Presence of Specified Color Inspection" feature of EasyInspector, we conducted an overall inspection with inspection frames, allowing for quantification. There were patterns resembling cuts, and we determined that EasyInspector provides more stable inspection than DeepSky. 【Software Used】 Software used: EasyInspector710 The current 'EasyInspector2' color package can perform inspections for the "Presence of Specified Color."

Company：スカイロジック
Price：Other

Image Processing Software
Visual inspection software

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[AI Image Inspection Case] Distinguishing Between Water Droplets and Scratches

The AI image inspection software will determine water droplets and scratches!

We received an inquiry from the engine valve manufacturer through our website. They were using a conventional inspection software but were troubled by excessive false detections. Our company provides 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】 We conducted the inspection using a software called DeepSky, which utilizes AI (Deep Learning). By training the software on the areas we wanted to detect, it adjusts its own setting parameters and learns to recognize them. In this instance, it was able to determine water droplets and scratches. The image shows a successful assessment of a scratch. Our company is located in Hamamatsu City, Shizuoka Prefecture, and we serve numerous industrial machinery manufacturers and users, primarily in the automotive industry. We develop inspection software that is easy to integrate and sell outright, and we have received many repeat orders. 【Software Used】 Software Used: DeepSky

Company：スカイロジック
Price：Other

Image Processing Software
Visual inspection software

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[AI Image Inspection Case] Inspection of Security Equipment

We will conduct an inspection for the presence of bit inserts in the four holes of the cover that covers the machine.

In recent years, system security manufacturers have been increasingly expanding and are also engaged in the production of hardware products. This involves inspecting the presence or absence of bit inserts in covers that encase the equipment. 【Inspection Settings and Results】 By using the "Color Comparison Inspection" feature of EasyInspector, we were able to detect the differences in the presence or absence of bit inserts in four holes and determine visually similar counterfeit products (different items) in just 0.25 seconds. Our inspection software may also be of assistance on your production line. We look forward to your inquiries. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: 367 x 292 mm Minimum Size of Inspection Target: 10 mm Number of Inspection Points: 4 Camera Resolution: 1.3 Megapixels Lens Focal Length: 6 mm Distance from Lens to Product: 330 mm Lighting: Ring Lighting Distance from Lighting to Inspection Item: Approximately 280 mm Current inspections can be performed with the 'EasyInspector2' color package [Color Comparison Extraction + Particle Count].

Company：スカイロジック
Price：Other

Image Processing Software
Visual inspection software

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[AI Image Inspection Case] Inspection of burrs, chips, and presence of holes in die casting

We will inspect defects in die-cast products using AI image inspection software!

This is an inquiry regarding the inspection of die-cast products during conveyor transport, with specific parameters: hole diameter tolerance of ±0.05, overall tolerance of ±0.4, inspection cycle time of under 10 seconds, and a minimum conveyor speed of 1,000 mm/min. The inspection focused on the presence or absence of burrs, chips, and holes. Die-cast products have been a frequently asked topic at our company recently, and there were many inquiries even as far back as 2017. At that time, projects that could now be easily and accurately inspected using AI-based inspection software DeepSky were still being inspected with the conventional inspection software EasyInspector. [Inspection Settings and Results] By using the "Comparison with Master Image" function of EasyInspector, we proposed setting inspection frames at two locations within the camera's field of view, utilizing multiple cameras for inspection. The cycle time for a single capture and inspection was approximately 0.54 seconds.

Company：スカイロジック
Price：Other

Image Processing Software
Visual inspection software

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Visual inspection software Product List and Ranking from 19 Manufacturers, Suppliers and Companies | IPROS GMS

Visual inspection software Manufacturer, Suppliers and Company Rankings

Visual inspection software Product ranking