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

[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.

Company：スカイロジック
Price：Other

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[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.

Company：スカイロジック
Price：Other

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[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

Company：スカイロジック
Price：Other

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[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

Company：スカイロジック
Price：Other

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[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.

Company：スカイロジック
Price：Other

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[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

Company：スカイロジック
Price：Other

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[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

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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

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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

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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

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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

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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

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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

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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

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

Visual inspection software Manufacturer, Suppliers and Company Rankings

Visual inspection software Product ranking