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スカイロジック

EstablishmentMay 2001
capital500Ten thousand
number of employees8
addressShizuoka/Hamamatsu-shi Chuo-ku/23-5 Higashisanpōchō, Art Tech Hall 3F
phone053-414-6209
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last updated:Jul 09, 2025
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スカイロジック List of Products and Services

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Electrical and electronic Electrical and electronic
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Meter Meter
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Image Inspection Case Collection Image Inspection Case Collection
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[AI Image Inspection Case] Connector Insertion Inspection

The AI image inspection software detects missing connectors and makes pass/fail judgments!

This time, we received an inquiry from a lighting equipment manufacturer. As the demand for inspection automation due to labor shortages has been increasing year by year, there are various types of image inspection systems. Based on over 2,000 successful implementations, our all-in-one image inspection software, themed "easy operation for on-site users," is steadily increasing its implementation results. 【Inspection Settings and Results】 As a result of verification with the sample provided, it was possible to inspect for missing connectors. We created a simple fixture using blocks for the inspection. The field of view was set to accommodate the entire workpiece, and we used EasyInspectors for the "presence or absence of specified color inspection." This time, inspection frames were set at four locations. The left image shows the master image that was set. The light blue and red areas are for misalignment correction. The right image, "Detection Frame 002," shows a failure indication in red because the cable was not inserted. The blue frame indicates a passing detection frame.

  • Image Processing Software

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[AI Image Inspection Case] Harness Wiring Color Inspection

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

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

  • Image Processing Software

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[IT Solutions] Link "items" and "locations" to manage materials!

By linking QR codes, smartphones, and the cloud, you can easily and simply share product and material information, thereby improving work efficiency!

No more searching around! The QR process management system eliminates the hassle of reporting and the wasted time spent searching for materials, as well as the effort required to check combinations of materials and tools. By combining QR codes with a network system, we can connect "things" to "things," "things" to "locations," and "things" to "processes," thereby eliminating the hassle of reporting, the waste of searching for items, and losses due to mistakes with items. For example, if information such as whether materials have been "delivered," "when and where they were delivered," and "which process they are currently in" can be easily and accurately shared within a group, it can reduce the hassle of reporting and the wasted time spent searching for materials, as well as the effort required to check combinations of materials and tools. 【Product Lineup】 ■ QR Mono Doko This is a smartphone-based app that can be easily started on a small scale. By scanning the QR codes of the location and product with a smartphone during delivery, the group can simply share "what is where." ■ QR Fixed Point Monitoring System By installing fixed network cameras, we can continuously capture the state of materials, tools, and pipe connections that are always present, automatically verifying whether they are in the correct condition.

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[AI Image Inspection Case] Inspection of Laser Printing

The AI image inspection software evaluates the laser printing engraved on the product!

A comprehensive electronic components manufacturer is considering our inspection software with the aim of reducing mistakes and man-hours as they transfer equipment to Japan. Until now, there was only one pattern of printing, but due to requests from users, there is a need to inspect different engravings for each user to avoid errors. **[Inspection Settings and Results]** By using the "Comparison with Master Image" function of EasyInspector, we were able to evaluate the laser printing at six locations. The left image shows the settings. The red and blue boxes in the right image indicate the alignment correction frames. EasyInspector is an easy-to-use, general-purpose image inspection software that can utilize low-cost USB cameras. By simply installing the software and connecting commercially available webcams, you can build an inspection system in a DIY manner that is both low-cost and simple. Since all components, including the image processing engine, are developed in-house, we can flexibly accommodate customizations. **[Software Used]** Software used: EasyInspector The current 'EasyInspector2' color package allows inspection using the "Comparison with Master Image" feature.

  • Image Processing Software

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[AI Image Inspection Case] Card Edge Dimension Inspection

Detect the dimensions of the card edge of the printed circuit board and determine good and defective products!

There was an inspection deficiency in the card edge processing section of the printed circuit board, resulting in defective products being released to the end user, which caused damage to the counterpart's motherboard connector. We received a request from an electronic component manufacturer to establish a cost-effective automated inspection system as a permanent solution. 【Inspection Settings and Results】 By using EasyInspector's "Dimension Angle Inspection" feature, we were able to detect the difference between good and defective products and make a judgment in 0.35 seconds. However, the measurement section during verification is not the accurate width of the tip but rather the vertical dimension of the screen. The left image shows the master image (settings screen) where the inspection area is specified with pink and green lines. The right image displays the inspection results, with pass results shown in blue.

  • Image Processing Software

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[AI Image Inspection Case] Dimensions of Printed Circuit Boards

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

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

  • Image Processing Software

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[AI Image Inspection Case] Inspection and Recording of Electronic Components

We will inspect small electronic components and record them in CSV format and images!

There have been inquiries about the setup method to automate new inspections even from electronic component manufacturers who are already using EasyInspector. There was a request to use the current imaging environment for a different inspection, but since the size of the inspection target is smaller, it was decided to send samples for verification. 【Inspection Settings and Results】 By using EasyInspector's "OCR Pro" function, we were able to successfully inspect five locations. Our company's ring lighting was not large enough to capture the entire workpiece, but we were able to confirm all requested inspections. The camera and lens were installed directly above to ensure the printed components could be verified. We created five inspection frames for this inspection. The image on the left shows the list displayed on the inspection results screen. The image on the right is the detailed settings screen for recording in CSV and image format.

  • Image Processing Software

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[AI Image Inspection Case] Dimension Inspection of Parts Processed by Machine Tools and Recording of Results

We will determine the quality of the parts' dimensions and record the results!

We received an inquiry from a representative of a manufacturer of pneumatic devices and control equipment who is considering changing the current visual inspection standards for the dimensional inspection of parts processed by work machines to data-based standards. They expressed a desire to keep a record of the product dimensions and provided sample images. 【Inspection Settings and Results】 We conducted a simple verification of inspections using both EasyInspector and DeepSky. Both were able to detect the dimensions. Our company can offer both the traditional rule-based inspection software "EasyInspector" (detection results are shown in the left image) and the AI (deep learning) based "DeepSky" (detection results are shown in the right image) as needed. For recording methods, there are options to save as SCV (Excel) and inspection images. 【Software Used】 Software used: EasyInspector, DeepSky

  • Image Processing Software

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

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

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

  • Image Processing Software

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[AI Image Inspection Case] Assembly Inspection of Molded Products

We will conduct assembly inspections of resin-molded parts such as automotive components! We will determine similar-looking similar products (different items)!

Automotive parts and other resin-molded components may vary in the presence of clips, colors, or positions 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 EasyInspector's "Presence of Specified Color Inspection" feature, we were able to detect differences in the color and position of clips in nine locations and determine similar-looking items (different products) in 0.24 seconds. Our company offers 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.

  • Image Processing Software

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[AI Image Inspection Case] Defects in Resin Molded Products

We will detect foreign objects, burrs, and shorts in circular parts with a diameter of 35mm using AI image inspection software!

We conducted a free evaluation of the appearance inspection of resin molded products. This involved detecting foreign objects, burrs, and shorts in a circular part with a diameter of 35mm. The ideal inspection setup was to observe the parts on a conveyor without fixing their position, with a target inspection cycle of 1 to 2 seconds. This inquiry is a case that falls within the expertise of our appearance inspection software, DeepSky. 【Inspection Settings and Results】 Regarding the detection of "foreign objects, burrs, and shorts" in the resin molded products you sent, we were able to detect foreign objects and burrs with high accuracy. For the foreign objects in the samples you provided, we achieved nearly 100% detection. For the burrs in the samples you provided, we also achieved nearly 100% detection. For shorts (missing pieces), we achieved nearly 100% detection in the samples you provided. However, for shorts (small chips), there were instances where detection was not possible, with an accuracy of about 20-30%. This time, we used software called DeepSky, which employs AI (Deep Learning) for inspection. By training the software on the areas we want to detect, it adjusts its own settings and improves its recognition capabilities.

  • Image Processing Software

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[AI Image Inspection Case] Inspection for Missed Paint Stripping

We will identify the painted areas and the stripped areas, and check for any oversight in removing the paint.

This is an inquiry from the manufacturer of air pumps. This time, we will check the possibility of missing paint removal. Our company, SkyLogic, has a track record of over 2,000 image inspections. We have published numerous inspection cases for metals, plastics, food, electronic substrates, pharmaceuticals, etc., so please check our case search tool to see if there are similar cases to the inspection you are considering. 【Inspection Settings and Results】 We conducted verification using the samples you sent. We were able to distinguish between the painted areas and the removed areas, so we believe that the inspection for missed removal is feasible. We also think it is possible to inspect the sides simultaneously and confirm the presence or absence of marks and labels. However, in both cases, it will involve inspecting multiple surfaces, and positional shifts may affect the inspection, so we believe it is necessary to fix the position of the workpiece using jigs or similar tools. (If the inspection is only for one surface, the shift correction function can probably be used.) The left image shows the imaging environment. The right image shows the settings.

  • Image Processing Software

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[AI Image Inspection Case] Inspection of Hose Parts

We will measure the dimensions of hose parts for automobiles and motorcycles using AI image inspection software!

We received an inquiry from a company that manufactures hose parts for automobiles and motorcycles. It was decided to conduct a simple verification of the presence or absence of marks on the workpieces, as well as their sizes and dimensions, and they sent us images. In authoritative verification, it is common to receive images to report on whether a simple verification can be conducted, and afterwards, we will carry out more specific verifications such as consultations on operational methods. 【Inspection Settings and Results】 By using EasyInspector's "Presence or Absence of Specified Color Inspection" function, we were able to inspect the presence or absence and size of three marks. Dimension measurement was conducted using the "Dimension Angle Inspection" function. The left image shows the detection of marks. The right image is an enlarged view of the dimension detection screen.

  • Image Processing Software

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[AI Image Inspection Case] Counting the Number of Products in a Tray

Count the number of products on the tray using AI image inspection software!

A plastic processing manufacturer requested a simple verification to count the number of products on a tray. 【Inspection Settings and Results】 As a result of the verification with samples, the number of products on the tray could be counted accurately. However, if there is extreme unevenness in the way light hits the products, false detections are likely to occur. While counting was possible, it seemed necessary to adjust the lighting environment so that the entire setup appears to have a similar color tone. (During the verification, adjustments were made under indoor lighting to the exposure time and the position of the inspection frame to avoid false detections.) 【Software and Equipment Used】 Software Used: EasyInspector710 (formerly EasyInspector) Field of View: Approximately 531 x 426 mm Minimum Size of Inspection Target: 15 mm Number of Inspection Points: 1 Camera Resolution: 1.3 Megapixels Lens Focal Length: 8 mm Distance Between Lens and Product: Approximately 700 mm Lighting: Indoor Fluorescent Light

  • Image Processing Software

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[AI Image Inspection Case] Misalignment of Product Labels and Printing Errors

Detects defects such as misalignment or printing errors on labels attached to products!

The manufacturer that produces electronic measuring instruments has been experiencing issues with defective label displays on their products, such as "overall misalignment," "printing errors (numeric parts)," and "interrupted borders." Therefore, it was decided to send samples for a simple verification. 【Inspection Settings and Results】 We have reported the verification results of the samples we received. It was possible to detect "overall misalignment," "printing errors (numeric parts)," and "interrupted borders" on the labels and determine them as failures. All three types of inspection items can be checked at once. This time, the inspection frame is set only for the areas with defects. In reality, it is not known where the defects will occur, so "printing errors" and "interrupted borders" need to be installed in all areas that should be inspected.

  • Image Processing Software

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[AI Image Inspection Case] Misalignment of Machine Nameplate Printing and Printing Errors

We are conducting a simple verification of printing misalignment, printing errors, and frame interruptions on the machine's nameplate.

We have received a request for a system that can perform character verification (comparison inspection) of machine nameplates. This is from a trading company dealing with electronic measuring instruments, testing machines, and industrial equipment. [Inspection Settings and Results] As a result of verification conducted with the sample we received, we were able to make a judgment in 0.22 seconds using the 'Comparison with Master Image' feature of EasyInspector. The red dots and numbers in the image display the number of pixels around the detected areas. Since we can set parameters suitable for each case, such as printing errors or overall misalignment, it is possible to prevent excessive detection or under-detection. [Software and Equipment Used] Software used: EasyInspector710 (formerly EasyInspector) Field of view: Approximately 246 x 205 mm Minimum size of inspection target: 2 mm Number of inspection points: 8 Camera resolution: 5 million pixels Lens focal length: 8 mm Distance between lens and product: Approximately 310 mm Lighting: Two linear fluorescent lamps Distance between lighting and inspection item: About 100 mm diagonally above the workpiece Current 'EasyInspector2' color package can perform inspections with 'Comparison with Master Image'.

  • Image Processing Software

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[AI Image Inspection Case] Inspection of Scratches on Metal Parts

We will propose inspection software tailored to the inspection target, operational conditions, and your preferences!

We conducted a simple verification of the detection of scratches on metal parts. In our communication with the customer, we sometimes report both the traditional rule-based inspection software and the AI (deep learning)-based inspection software for their consideration of which is better. 【Inspection Settings and Results】 As a result of the verification using the samples provided, scratches on metal parts were detectable by using ring lighting. By utilizing the "Scratch Inspection" feature of EasyInspector, we were able to detect scratches in 0.34 seconds from one location (the entire screen). Adjustments to the settings are necessary for different diameters and lengths. DeepSky also achieved static detection in 0.3 seconds. The left image is an enlarged view of the detection area from EasyInspector. The right image is an enlarged view of the detection frame from DeepSky.

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[AI Image Inspection Case] Measurement of Nut Dimensions

We will measure the dimensions of the nuts using AI image inspection software and determine pass or fail!

We received an inquiry about nut measurement from a manufacturer of mission parts such as truck components. I believe that traditional methods of "image analysis" and "image processing" will not be completely replaced by AI (deep learning). Depending on the customer's wishes and operational conditions, we will consider more cost-effective proposals through free simple verification and report back. 【Inspection Settings and Results】 By using EasyInspector's "Dimension Angle Inspection" feature, we were able to measure one dimension in 0.52 seconds. In the left image, the good product was detected within the reference value and was deemed "pass." In the right image, when a different nut (with a different height) was attached, it exceeded the height reference value, resulting in a "fail" judgment.

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[AI Image Inspection Case] Determining Left and Right of Automotive Part Wheel Pins

We will conduct an inspection to distinguish between "R" and "L" before the automotive products are installed!

We received feedback from an automobile manufacturer regarding issues with the left and right wheel pins being incorrectly installed. This time, we are considering an inspection method to distinguish between "R" and "L" before the parts are installed in the automobile products. The orientation of the bolt markings is inconsistent, and we are exploring the possibility of checking them while they are aligned on the parts feeder. 【Inspection Setup and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to determine the left and right bolts. We attempted to identify them using the R and L markings, but detection was not successful due to reflections. Therefore, in this verification, we reported that by inspecting the orientation of the threaded part of the bolt, we could successfully distinguish between the R and L bolts in a well-aligned situation on the parts feeder in 0.36 seconds.

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[AI Image Inspection Case] Detection of the Orientation of Pins in Electronic Components

All 10 locations of the reverse-mounted pins of the electronic components have been detected!

A manufacturer that develops and sells electronic components and devices inquired at our booth during the exhibition. In light of the current social situation, we are also accommodating meetings via web conference. After understanding the overview of our systems and software, it is common for us to receive sample submissions. Following detailed discussions, we can provide specific proposals regarding operational methods, making the process smooth. [Inspection Settings and Results] As a result, we were able to detect all 10 locations of the NG (reverse attachment) parts. However, there was one location at the edge of the screen (where only half of the pin is visible) that was misjudged. (The NG parts created by processing the images total 10 locations, but the verification resulted in detecting 11 locations.) Currently, it is difficult to distinguish between OK and NG in the images, so adjustments are needed to enhance the differences, such as improving the lighting. For "DeepSky," the resolution of the images we received (16M) is too large, so additional software to split the images will be necessary. [Software Used] Software Used: DeepSky

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[AI Image Inspection Case] Double Insertion Inspection of Pins

Detect differences in a single hole and determine visually similar imitations (different items)!

The manufacturer, who is active mainly in industrial machine blades, seems to be interested in both DeepSky, which uses AI (deep learning), and the conventional rule-based EasyInspector, and has sent us sample products. This report is on the inspection conducted using EasyInspector. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to detect the difference in one hole and determine visually similar items (different products) in 1.64 seconds. The offset correction frames were placed on the corner part of the workpiece (red frame) and the hole part (light blue frame). In the image on the right, the white color of the pin appears in the shadowed area of the groove, and this part is detected as a difference and marked in red, resulting in a judgment of NG (not good).

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[AI Image Inspection Case] Circuit Board Pin Pass/Fail

We will determine the pass or fail of the substrate implementation, pin installation, and any paint overflow.

This is an inquiry from an industrial equipment manufacturer we have been in contact with for some time. Our inspection software has a track record of over 2,000 image inspections. We have numerous inspection cases published, including metals, plastics, food, electronic substrates, and pharmaceuticals, so please check our website to see if there are similar cases to the inspections you are considering. 【Inspection Settings and Results】 By using various functions of EasyInspector, we were able to detect the presence or position differences of 55 locations and determine visually similar products (non-conforming items) in 0.54 seconds. Regarding NG items like pins, it has been reported that a setting where detecting the unpainted black state instead of the blue paint is stable, and for settings where exceeding the boundaries is NG, it is better to inspect based on the pixel count of the specified color within the frame rather than using size determination for the detection points.

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[AI Image Inspection Case] Detection of Bent Connector Pins on Circuit Boards

The AI image inspection software detects bent pins of connectors on circuit boards and similar-looking counterfeit products (different items)!

We received an inquiry from an electronics manufacturer who is trying to create a simple inspection jig by linking a general-purpose camera and a general-purpose PC at the lowest possible cost. They want to detect issues such as bent pins on circuit board connectors and mistakes in ROM installation using a camera, and we have accepted their request for preliminary verification. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we detected 31 differences and were able to determine visually similar items (different products) in 3.85 seconds. However, there are conditions. We verified the deformation of the connector as "large." The bending of the pins was created by us, but the deviation in the tip position due to bending is likely to be significant (over 1mm). For the inspection of the connector's "lock" state, since the normal "lock" state was unknown, we initially reported the detection by comparing it to the open state. 【Software Used】 Software used: EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' color package can perform inspections using the "Comparison with Master Image" feature.

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[AI Image Inspection Case] Detection of Black Pins

The AI image inspection software detects excess parts of a pin in one location!

A metal processing manufacturer established during the Taisho era is achieving meticulous product management using our inspection software. 【Inspection Settings and Results】 By using the "Presence of Specified Color Inspection" feature of EasyInspector, we were able to detect excess material on a pin in one location and make a judgment in 0.09 seconds. In this inspection, when there is excess material on the pin, the image appears as if "the black ring is missing," so we set the criteria to determine pass or fail based on whether the amount of detected black falls below the standard value. When performing image processing under the same conditions, there was a difference in detection amounts between OK and NG products, allowing us to distinguish between the two states through image comparison. However, since the color judgment tolerance range was set somewhat strictly, there is a risk that detection may not be stable depending on conditions such as the brightness of the imaging environment. 【Software Used】 Software Used: EasyInspector Current 'EasyInspector2' color package can inspect for the "Presence of Specified Color."

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[AI Image Inspection Case] Inspection of the Presence or Absence of Pins on Electronic Circuit Boards

We will conduct a simple verification to see if the pins are visible through the holes in the electronic component's circuit board!

We are considering the introduction of inspection equipment even in tool and machinery manufacturing companies. Recently, due to the impact of declining birth rates and an aging population across various fields, securing skilled workers has become a significant social issue. I feel that an opportunity has arisen to survive and grow businesses by entrusting inspections and judgments to image analysis instead of relying solely on human visual checks. 【Inspection Settings and Results】 By using the "Presence or Absence of Designated Color Inspection" feature of EasyInspector, we were able to determine the presence or absence of 13 pins in 0.57 seconds. The left image shows the live feed, while the right image indicates that the areas with pins inside the holes are marked in blue as "pass," and the areas without pins are displayed in red as "fail." The current 'EasyInspector2' color package can be used for inspections of the "Presence or Absence of Designated Color."

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[AI Image Inspection Case] Dimension Inspection of Parts

The AI image inspection software measures and evaluates the dimensions of the specified terminal parts of each component!

We received inquiries from manufacturers of semiconductors and electronic components, and we conducted a simple verification of the dimensions of electronic parts and terminals. In cases where it is difficult to ship samples, we offer demo units for free, allowing users to experience the inspection software firsthand. Additionally, a trial version is available for download on our website. The inspection software allows for easy pass/fail judgment, operated similarly to Windows software. 【Inspection Settings and Results】 We conducted verification using the samples we received. As a result, we were able to measure the dimensions of the specified terminal parts of each component and make judgments. By using the "Dimension Angle Inspection" function of EasyInspector, we measured 10 positions and made judgments in 3.83 seconds. The left image is an enlarged view of the inspection settings screen. The right image is the inspection results table, where it is possible to set dimension conversion values and record them in CSV format as needed.

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[AI Image Inspection Case] Determining the Presence or Absence of Solder

The AI image inspection software determines the presence or absence of solder!

The manufacturer of the autonomous driving support system has been a partner of our company for some time. This time, we will determine the presence or absence of solder. By using the "presence or absence of specified color" function of EasyInspector, we were able to conduct the inspection. If we can detect "only the color of unsoldered areas" as shown in the image, we can determine pass or fail. This inspection is very important for the "color of the copper foil in unsoldered areas," and if this color can be captured consistently and stably, the inspection becomes easy. However, if there is a mix of "bright copper color" and "dark copper color" due to lighting unevenness, the inspection becomes difficult. [Software Used] Software: EasyInspector The current 'EasyInspector2' color package can be used for inspection with the "presence or absence of specified color."

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[AI Image Inspection Case] Inspection of Lead Wire Color and Insufficient Terminal Insertion

The AI image inspection software detects lead wire color and terminal insertion deficiencies!

One of the common inquiries we receive from customers is regarding the inspection of cable lengths and colors. As a basic procedure, we first request customers to send sample products for a preliminary verification. The inspection framework has been established for each wiring (8 colors) and each terminal (7 locations). Both the lead wires and terminals utilized EasyInspector's "presence or absence of specified color" inspection. For lead wires, the specified colors (8 colors) are designated from the screen, and for terminals, the yellow part of the terminal is specified from the screen. If the specified color is present in a quantity greater than the lower limit, it is considered a pass (OK). If the lead wire does not have the specified color in a quantity above the lower limit, it is judged as a different position (NG). If the quantity of the specified color for the terminal is insufficient, it is deemed as insufficient insertion (NG).

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[AI Image Inspection Case] Character Reading Inspection and Recording of Circuit Boards

We will conduct reading inspections and record the characters printed on the substrate!

The electronic component manufacturer that inquired this time was considering automating product management by recording the reading of characters printed on electronic components. This is a simple verification of reading characters printed on the circuit board. Our inspection software includes basic functions for saving inspection results in CSV or image formats, which can be utilized for product management across various industries. 【Inspection Settings and Results】 By using the "OCR Reading" feature of EasyInspector, it was possible to read 12 characters at one location. If you want to add the serial value to the file name of the recorded image, you need to create software that automatically renames it or specify the file name using external control commands to save the image. 【Software Used】 Software Used: EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' RD (ReaDing) package can perform inspections with [OCR (Optical Character Recognition)] and [Machine Learning OCR].

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[AI Image Inspection Case] Inspection of Electronic Circuit Boards ②

The AI image inspection software determines whether the mounting of the electronic circuit board is correct!

This is an image inspection judgment to determine whether the electronic circuit board implementation is correct. The criteria are (1) tilt (2) vertical position (3) missing parts (4) misalignment and lifting. 【Inspection Settings and Results】 The inspection was conducted using our software EasyInspector. For tilt and missing parts, it was possible to use the "presence of specified color inspection" feature. It was set up so that if the components illuminated by the lighting could be detected as white within the inspection frame, it would be considered a pass. For vertical position, misalignment, and lifting, the "comparison with master image" feature was used, and it was set to pass if the difference from the master image was within 5%. It was able to detect the presence and positional differences of 8 holes and make judgments in less than one second. 【Software and Equipment Used】 Software used: EasyInspector310 (formerly EasyInspector) Field of view: 166 x 88 mm Minimum size of inspection target: 0.5 mm Number of inspection points: 8 Camera resolution: 3 million pixels Lens focal length: 12 mm Distance between lens and product: 530 mm Lighting: Two linear fluorescent lamps The current 'EasyInspector2' color package can perform inspections using the "presence of specified color" feature.

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[AI Image Inspection Case] Inspection of Electronic Circuit Boards

The AI image inspection software determines the absence of connectors and reverse insertion on electronic circuit boards!

The electronic circuit board manufacturer has been using our inspection software for some time. This time, we have received a request to conduct a simple verification of the feasibility regarding board assembly. Our company offers verification and support from technical staff on a daily basis. If you have any issues, questions, or uncertainties while using our software, please feel free to contact us at any time. 【Inspection Settings and Results】 Using the "Comparison with Master Image" feature of EasyInspector, we were able to set up and determine the absence of connectors and reverse insertion. The red areas in the image display the detected pixels, which is an enlarged view of the detection screen. Regarding the sample circuit board you sent, it seems that with just one camera, we can only detect the presence or orientation of large components. Since conducting inspections is inherently challenging without a method that segments the imaging area and moves the work and camera, we will use a movable inspection device for the inspection.

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[AI Image Inspection Case] Inspection of Chip Components on Circuit Boards

This is a simple verification to check the presence or absence of chip components on the substrate and to read the letters on the IC!

Inquiries about electronic components, especially circuit boards, can be said to be the most common cases we receive. Currently, our inspection software is being used for over 1,000 various image inspections. [Inspection Settings and Results] By using the "Comparison with Master Image" feature of EasyInspector, it was possible to check for the presence of five chip components and whether the IC printing was present. However, detecting components with text could not be done with just one camera. By narrowing the field of view and installing multiple cameras, detection may be possible. The blue frame in the image indicates the detection frame for pass items, while the red frame indicates the detection frame for fail items. [Software Used] Software used: EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' color package can perform inspections with the "Comparison with Master Image" feature.

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[AI Image Inspection Case] Inspection of Wiring Position

We will inspect the position of the wiring of the harness attached to the connector using AI image inspection software!

This is an inquiry from an electronic component manufacturer. We will inspect the harness attached to the connector. Our company offers a "simple evaluation service" provided by technical staff free of charge. If detection or judgment can be made during the simple evaluation, we will conduct a "feasibility verification" test, which simulates actual operation, to evaluate processing time and judgment accuracy. Additionally, we offer free rental of demo units, allowing users to experience the inspection software firsthand, and we recommend implementation only after they are satisfied. 【Inspection Settings and Results】 By using the "Presence of Specified Color Inspection" function of EasyInspector, we were able to inspect two locations. To conduct a simple verification, we edited the images of the samples we received and created images of defective products with color swaps. The blue display indicates a pass in the inspection results, while the red display indicates a fail.

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[AI Image Inspection Case] Measurement of Metal Hole Diameter

We will measure the diameters of holes in two metal parts using AI image inspection software!

In the automotive parts sector, particularly with mission parts manufacturers, we have previously conducted simple verifications of multiple samples for our valued customers. This time, we will measure the diameter of holes in metal components. 【Inspection Setup and Results】 By using the "Dimension and Angle Inspection" feature of EasyInspector, it was possible to measure the dimensions of two holes in just 0.5 seconds. We set it up to measure the distance from the center coordinates of each circle. By comparing the coordinates of the centers of each circle, we detected that they were within the specified value (29mm ± 0.4mm), resulting in a "Pass" judgment indicated by the blue enclosure in the image on the right. 【Software and Equipment Used】 Software Used: EasyInspector Field of View: Approximately 43 x 24mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 8 Camera Resolution: 1.3 Megapixels Lens Focal Length: 25mm Distance from Lens to Product: Approximately 530mm Lighting: Surface Emission Lighting Distance from Lighting to Inspection Item: Approximately 40mm The current 'EasyInspector2' MS (MeaSure) package allows for inspections of [Position and Width Measurement] and [Angle Measurement].

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[AI Image Inspection Case] Inspection of Spray Quality

We will automate the quality inspection of spraying done visually using AI image inspection software!

This is a request from a manufacturer of superhard materials such as metals. They were considering automating the inspection process for spray defects, based on the current situation where the quality of the spray (product inspection) is visually confirmed through captured spray photos or overlays of those photos. 【Inspection Settings and Results】 By using the "Scratch and Defect Inspection" feature of EasyInspector, we were able to inspect one location in 0.49 seconds. The left image is the master image (settings screen). By specifying the pink circle, the inspection area can be set. The right image is the settings screen. 【Software Used】 Software used: EasyInspector The current 'EasyInspector2' color package can be used for [Scratch and Defect Detection] inspections.

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[AI Image Inspection Case] Detection of Burrs on Metal Parts

The AI image inspection software detects burrs at the adhesive joint of a metal part!

We received an inquiry about our inspection software from an air conditioning equipment manufacturer. At our company, we conduct daily verifications to contribute to the quality assurance of various customers. We offer a "simple evaluation service" free of charge by our technical staff, and if detection or judgment can be made through this simple evaluation, we recommend conducting a "feasibility verification" that simulates actual operation, where we verify processing time and judgment accuracy. 【Inspection Settings and Results】 By using the "Comparison with Master Image" function of EasyInspector, we were able to detect burrs at a single adhesive point. The left image is the master image. The setting screen specifies the inspection area with a good product image. The red box indicates misalignment correction. The pink frame is the setting frame for the inspection range. 【Software Used】 Software used: EasyInspector The current 'EasyInspector2' color package can perform inspections using the "Comparison with Master Image" feature.

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[AI Image Inspection Case] Detecting the presence or differences of metal taps.

Detect the presence or differences of taps and determine visually similar different items! We will support operations even after the product introduction!

Home appliance sales and repair manufacturers are also operating inspections that incorporate our inspection software. This verification will serve as support. You inquired about the setup method. Customers who have implemented and are operating the system often contact us regarding imaging environments and setup methods, and in the case of new inspection items, we may proceed with thorough support similar to that for new customers, starting with simple verifications. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to detect the presence or absence of a tap in one location and determine visually similar imitation products (different items) in 0.19 seconds. 【Software Used】 Software Used: EasyInspector The current 'EasyInspector2' color package can be used for inspections with the "Comparison with Master Image" feature.

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[AI Image Inspection Case] Tape Dimension Inspection

The AI image inspection software checks the length of the tape wrapped around the wiring cover!

Samples for simple verification have arrived from the electronic component manufacturer. We will determine the length of the adhesive tape applied. Our company serves various end-users, including manufacturers of automotive parts, in Hamamatsu City, Shizuoka Prefecture, where the manufacturing industry is thriving. We have a track record of providing support for over 1,000 cases and are developing inspection software that is easy to integrate and sold as a one-time purchase. 【Inspection Settings and Results】 By using the "Dimension Angle Inspection" function of EasyInspector, we inspected the length of the tape wrapped around the wiring cover. Since the tape is slightly brighter than the wiring cover, we darkened the background and used a setting to search for the bright position from the dark positions on both sides of the inspection frame. The length of the tape was 40mm, so we set the "Correct Dimension Value" to 40 in the "Dimension Conversion Value Setting." We set the "X Direction" in the "Pass/Fail Judgment and Acceptance Range" to 38<42. The tolerance can be set here. This means that if the length is detected as 38mm or less, or 42mm or more, it will be judged as a failure. We set the "Edge Detection Sensitivity" to 50 and the "Sharpness of Target Edge" to 04. By making fine adjustments here, we can perform the inspection.

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[AI Image Inspection Case] Detection of Contaminants on Electronic Components

Detect contaminants on electronic components with AI image inspection software!

We received a request for a simple verification from an electronic component manufacturer that is already using our inspection software "EasyInspector" to see if it can detect contaminants on electronic components. [Overview of the Inspection Item] By using the "Comparison with Master Image" feature of EasyInspector, we were able to inspect one location in 0.94 seconds. We specified the inspection area by setting the mask function "Non-Detection Pixels." The light blue areas in the image indicate all the areas set as non-detection. By setting non-detection pixels, we eliminate false judgments in areas that do not need to be detected, which also shortens the inspection cycle. Our company responds daily to requests for verification, as well as support for settings and imaging methods from customers who have implemented our solutions. [Software Used] Software Used: EasyInspector The current "EasyInspector2" color package can perform inspections using the "Comparison with Master Image" feature.

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[AI Image Inspection Case] Inspection and Recording of Dimensions of Parts Processed by Machine Tools

We will inspect the dimensions of parts and record inspection images using AI image inspection software!

Regarding the inspection of the dimensions of parts processed by the work machine, we received an inquiry from a representative of a manufacturer of pneumatic devices and control equipment who is considering changing the current visual inspection standards to data-based standards. They expressed a desire to keep a record of the product dimensions and provided sample images. 【Inspection Settings and Results】 We conducted a simple verification of inspections using both EasyInspector and DeepSky. Both were able to detect the dimensions. Our company can propose both the conventional rule-based inspection software "EasyInspector" (detection results shown in the left image) and the AI (deep learning) based "DeepSky" (detection results shown in the right image) as needed. For recording methods, there are options to save in SCV (Excel) format and to retain inspection images. 【Software Used】 Software used: EasyInspector, DeepSky

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[AI Image Inspection Case] Circuit Board Assembly ②

It detects whether the specified component is installed at the designated position on the substrate!

The audio equipment manufacturer we have been dealing with for some time has inquired about various cases. This time, we will conduct a simple verification of the components mounted on the circuit board using the images provided. The ability to determine whether specified components are installed in designated positions is a case that can be applied across various processes in any industry. 【Inspection Settings and Results】 Using DeepSky's inspection function, it was possible to determine the components mounted on the circuit board. By also setting the area this time, we were able to accurately determine whether the specified components were installed in the designated locations. The image on the left shows the area settings, while the image on the right shows the annotations. If you only want to verify the detection capability through a web service, you can try image processing using deep learning online. https://deepskyweb.com/ 【Software Used】 Software Used: DeepSky

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[AI Image Inspection Case] PCB Assembly

Detecting components on electronic circuit boards with AI image inspection software!

We received a request from an electronic component manufacturer to send verification samples. Our company offers a "simple evaluation service" free of charge, conducted by technical staff. If detection or judgment is possible through the simple evaluation, we can perform a "feasibility verification" test, which simulates actual operations and evaluates processing time and judgment accuracy. Additionally, we provide demo units for free, allowing users to experience the inspection software firsthand. 【Inspection Settings and Results】 By using EasyInspector, we conducted verification of the samples. However, since comparing with a master often results in many false detections, we adopted a method of judgment based on the amount of the specified color detected. 【Software Used】 Software used: EasyInspector The current 'EasyInspector2' color package can inspect based on the presence or absence of the specified color.

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[AI Image Inspection Case] Measurement of Powder Quantity

We will measure the amount of powder in the graduated cylinder using AI image inspection software!

The general trading company that is developing a functional powder business has been using our inspection software for some time. This time, we will conduct a simple verification of powdered inspection items. Since we have already discussed the situation, operation methods, and requests in a web meeting, the future process will proceed smoothly. 【Inspection Settings and Results】 As a result of the verification conducted using the images of the samples we received, the "Meter Reading" function of EasyInspector was able to measure the amount of powder in the graduated cylinder in 0.09 seconds. To read an accurate value, it is necessary to level the powder, but if the average value when it is tilted is basically the value at the center of the graduated cylinder, reading the center will display an approximate average value. 【Software Used】 Software used: EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' CP (Control Panel) package can be used for inspection with the "Meter Display Reading" feature.

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[AI Image Inspection Case] Inspection of product text, marks, etc.

We will inspect for missing or faded display of multiple characters and marks on the product, and record the inspection details in images and CSV format!

The manufacturer of the autonomous driving assistance system has considered our character recognition function for product management. The products display multiple characters and logos. Inspections for missing or faded displays and for recording purposes are made easier with the recognition function. This is also a common case, and we have received applications from various manufacturers. [Inspection Settings and Results] As a result of verification conducted with the sample we received, it was determined using EasyInspector. For the inspection of missing or faded areas, we used the comparison function with the master image, and for character recognition (recording and correctness judgment), we utilized the OCR function. We set up 26 inspection frames, requiring an inspection cycle of 1.95 seconds. The recording method can be done in CSV and image formats.

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[AI Image Inspection Case] Detection of Terminal Lift in Electronic Components

We will detect fitting judgment and terminal lift for board products with multiple terminals!

This is a verification for products with multiple terminals, focusing on determining fitting and detecting terminal lift. Human visual inspection of delicate electronic components can sometimes lead to oversight. We would be happy to assist in achieving more accurate and stable deliveries. 【Inspection Settings and Results】 By using EasyInspector's "Dimension Angle Inspection - Vertical Width - Average Position" function, we created eight inspection frames to detect positions and determine terminal lift in 1.06 seconds. In this verification, we set up to detect areas that were illuminated with halation, making lighting adjustments crucial for the inspection.

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  • 大型品の切削や低コストな複合加工に。ロボットシステムの資料進呈

    大型品の切削や低コストな複合加工に。ロボットシステムの資料進呈

  • イプロスがリアル展示会を主催します! AI/DX 営業・マーケティング展 出展社募集中 リード数・商談数が止まらない!新しいリアル展示会を提供 会期 2026年3月24日(火)~25日(水) 会場 東京ビッグサイト東4ホール 出展概要資料を進呈!
  • 高品質×短納期 アキツなら金型費不要 0円 1個から対応可能 試作・小ロット 最短当日出荷 3Dデータ対応 ゴム切削加工はお任せください!
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