スカイロジック List of Products and Services

We received an inquiry from an industrial control equipment manufacturer who wanted to confirm various inspection details. Initially, we decided to conduct a simple verification by sending sample images. Our software, called "DeepSky," detects objects with similar features by enclosing the target object in a rectangle and performing learning. In this case, we specified areas where "weld" and "color mixing" appear for the learning process. Regarding the weld, there are likely "acceptable welds" and "non-acceptable welds" in reality, but distinguishing between them is difficult, so the inspection will focus on whether a weld is present or not. Based on the verification feedback for these two items, I feel there is a high possibility of being able to conduct inspections. [Software Used] ■DeepSky *For more details, please refer to the PDF document or feel free to contact us.

We received a message from an industrial equipment manufacturer stating, "We were considering whether we could conduct inspections with your image inspection software 'EasyInspector' and learned that there is a free evaluation service available." The items they want to inspect are two types: checking for excess urethane and detecting leftover ends of clip inspection tape, as well as checking for tape overflow (with a margin of error of 1mm). It was possible to conduct inspections that could be confirmed visually. The verification results for the clip overflow inspection and the urethane dimension inspection were both validated using EasyInspector's dimension angle inspection. For the other inspection item, the clip tape ends and urethane holes, it seems necessary to narrow the field of view (with multiple inspections) using a different software called DeepSky. [Software Used] EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' MS (MeaSure) package can conduct inspections with angle measurement.

We received a message from a trading company saying, 'We are looking for a system that can perform image inspection.' They were considering integrating it into an automatic assembly machine, receiving signals from a higher-level control device, conducting imaging and judgment, and returning the judgment results to the higher-level control device. Many trading companies and industrial equipment manufacturers repeatedly purchase our inspection software because it is easy to integrate and sold as a one-time purchase. As a result of testing with the sample products we have, we found that it is possible to detect the bias of the sponge and the presence of rubber using EasyInspector's 'Presence of Specified Color Inspection.' For the sponge bias, the setting is that if a color other than the sponge is detected, it is considered a failure. For the presence of rubber, black is designated as the specified color within the inspection frame, and if rubber is present, detecting black results in a pass. The light blue fluorescent pixels in the image indicate the detected specified color.

Rubber molded parts, such as automotive components, have different clip mounting positions depending on the product. This time, we received a request for a simple verification of clip position measurement. If the field of view is approximately 250mm in the longitudinal direction, it seems possible to measure the clip pitch with an accuracy of ±0.5mm. By using the "Dimension and Angle Inspection" feature of EasyInspector, we were able to detect the differences in the positions of four clips and determine visually similar similar products (different items) in less than 0.93 seconds. The image on the right shows the detection frame. Our company accepts verification and support from technical staff on a daily basis. If you have any issues, questions, or uncertainties during operation, please feel free to contact us at any time. 【Software Used】 EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' MS (MeaSure) package can be used for position and width measurement inspections.

We received an inquiry regarding the appearance inspection of rubber parts on a milky white disc. There is a desire to build a low-cost system to detect foreign objects, burrs, and bubbles. Since sending samples is not possible, images were provided instead. The product size has an outer diameter of Φ7.6 and a height of 0.9, with a shape that has protrusions on both sides in the center. The detection levels being considered are for foreign objects of size 0.05 square millimeters, burrs of size 0.2 square millimeters, and bubbles of size 0.3 square millimeters. As a preliminary evaluation service, we checked what would happen if we placed the item on a base as part of the operational method being considered. With top-side lighting, the surface did not appear to be transparent, and upon applying image processing, it seemed capable of detecting debris adhered to the surface. We will proceed to a test (feasibility verification) to confirm whether actual defects such as foreign objects can be detected under these conditions, assuming real operational scenarios. This time, we are setting it up using the "Scratch Inspection" feature of EasyInspector.

We received an inquiry from a manufacturer specializing in FA machinery, who is considering implementing our system in the inspection department of their factory in Malaysia. Our company has agents in Malaysia and China, and we plan to expand our sales channels overseas in the future. By using the "Scratch and Defect Inspection" feature of EasyInspector, we were able to detect glossiness in eight rubber products and determine visually similar defective items in less than 0.26 seconds. The "Scratch and Defect Inspection" feature was used to detect any white or black dots or lines within something that should be uniform. Additionally, we selected the "ring" inspection frame to match the shape of the products. 【Software and Equipment Used】 Software Used: EasyInspector710 (formerly EasyInspector) Field of View: 3 x 2mm Minimum Size of Inspection Target: 3mm Number of Inspection Points: 8 Camera Resolution: 1.3 Megapixels Lens Focal Length: 35mm Distance Between Lens and Product: Approximately 50mm Lighting: Indoor Fluorescent Light The current 'EasyInspector2' color package can be used for [Scratch and Defect Detection] inspections.

We will conduct a simple inspection of foreign substances and insects on a colorless transparent PP sheet measuring 650×800. Before the inquiry, visual inspections were performed by workers stacking the sheets, but there were concerns about the possibility of foreign substances and insects being mixed in, so we received a request to prevent this. 【Inspection Setup and Results】 We affixed 10 defect seals measuring 0.3mm square to the good sample sheets we received and verified whether all 10 black dots could be detected. By using the "Scratch and Defect Inspection" feature of EasyInspector, we were able to inspect the entire area in 1.84 seconds. The left image is a live magnified view, and the right image is a magnified view of the inspection results. The non-compliant areas are displayed in red, indicating a perimeter detection of 11 pixels. 【Software and Equipment Used】 Software Used: EasyInspector (formerly EasyInspector) Field of View: Approximately 800 x 500mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 1 Camera Resolution: 20 million pixels Lens Focal Length: 16mm Distance Between Lens and Product: Approximately 980mm Lighting: Indoor fluorescent lights The current 'EasyInspector2' color package can be used for [Scratch and Defect Detection] inspections.

A customer, a high-performance plastic resin manufacturer, contacted us through our website regarding their concerns about the user manual inspection. They mentioned that due to the large amount of text and small font size, they are experiencing missed inspections and longer inspection times. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to cover 32 inspection items for the labels and make determinations. The inspection time during verification was approximately 15 seconds, but when we set up an overall inspection frame and performed more detailed "shift correction," it took about 2 minutes. 【Software and Equipment Used】 Software Used: EasyInspector (formerly EasyInspector) Field of View: Approximately 622 x 455mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 8 Camera Resolution: 14 million pixels Lens Focal Length: 12mm Distance from Lens to Product: Approximately 540mm Lighting: Two bar lights Distance from Lighting to Inspection Item: Illuminated from about 100mm above the left and right sides The current 'EasyInspector2' color package can perform inspections using the "Comparison with Master Image" feature.

We received a request to inspect foreign substances, fine "black spots" and "white spots" during the film processing stage. Sample images were received, and a preliminary verification was conducted. There is a term called "Japanese quality." It represents the quality that Japanese manufacturing takes pride in, and this is supported by each process in the manufacturing site. The inspection process is the last line of defense directly linked to product quality, and with the remarkable advancement of technology, its importance is expected to increase even further in the future. [Inspection Settings and Results] By using EasyInspector's "Defect Detection" feature, we were able to inspect two areas. The pink circle on the left is the master image that sets the inspection range. The image on the right displays the inspection results, indicating a failure due to detected defects in a red frame. The process involves inviting you to our company to view a demonstration of the inspection results, after which we lend the demo unit to the end users for them to experience it, allowing them to try out the settings and feel before requesting a purchase.

Even manufacturers of high-precision resin-molded parts, such as precision components, are considering our inspection software. In preliminary simple verifications before understanding the operational situation and requirements, we may report on both conventional rule-based inspection software and AI (deep learning) software to determine which better meets their needs. 【Inspection Settings and Results】 In the enlarged image of the detection by EasyInspector on the left, the field of view was set to accommodate the workpiece, and when inspecting defective samples, it was possible to detect black spots and dirt. However, if there are irregularities in shape or shadows of contours within the inspection area, there is a possibility of misdetection. Conventional software is more susceptible to positional deviations. The image on the right shows the case using DeepSky. Through deep learning, it learns defects and detects only the defective areas from the image. Due to its nature, if properly trained, it can detect the intended defective areas even in the presence of variations caused by pad adhesion. 【Software Used】 Software used: EasyInspector, DeepSky *The current EasyInspector2 also includes AI functionality.

This is a request for a simple verification using images captured with a microscope. We will measure the diameter of the cross-section of a 24G tube (outer diameter 0.70mm) using an image taken at a resolution of 4000×3000px. 【Inspection Settings and Results】 By using the "Dimension Angle Inspection" feature of EasyInspector, we were able to measure the diameter of the cross-section of one location on the tube. The measurement taken from the image captured with the microscope showed a diameter (indicated by the red arrow) of 2369px. Since we do not know the actual dimensions of this product, substituting the nominal size gives us 0.7mm = 2369px, resulting in 1px = 0.0003mm, which is the resolution. Generally, the measurement error is ten times the resolution, so that value is 0.003mm. Under these conditions, inspection is possible, but to measure the outer diameter, the entire inspection item must be within the field of view. As the outer diameter of the inspection item increases, the actual dimension value per pixel also increases, leading to a larger measurement error.

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.

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.

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.

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

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

This is a request for image assessment to check for holes in a circular rubber flange. It is noted that defective products either have no holes (clear points) or have very few holes, or the holes are small. Additionally, there are concerns about detecting burrs, defects on the outer circumference, and debris (clear points outside the hole positions). A sample has been sent from a company involved in ground investigation and ground improvement. 【Inspection Settings and Results】 We conducted verification of hole presence and position inspection using the sample provided. As a result, we were able to detect the hole areas and determine their positions and presence. However, if the position of the holes is also to be inspected, the following conditions are necessary: the inspection item should be fixed in place using an L-shaped fixture or similar. The orientation of the inspection item should also be set to be approximately the same. Regarding the orientation of the inspection item, please align it roughly based on the areas where numbers or letters are displayed on the surface. Using the "Presence of Specified Color Inspection" function of EasyInspector, we were able to detect the presence or absence of holes and differences at five locations, and we could determine visually similar similar products (different items) in 0.59 seconds.

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

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

The cellulose fiber resin manufacturer has delicate surface processing technology. This time, we received an inquiry about quantifying the surface roughness of the coating layer through inspection, and we decided to test whether the surface roughness could be determined through image inspection instead of visual confirmation (sensory evaluation). 【Inspection Setup and Results】 By using the "Presence or Absence of Specified Color" function of EasyInspector, we were able to quantify the differences in texture at one location (overall). The results were better when judged using EasyInspector, which allows for detailed settings including stability and color tolerance ranges. The settings for how much to detect as black and what shade to consider as black were done using EasyInspector. 【Software Used】 Software Used: EasyInspector710 The current 'EasyInspector2' color package can be used for inspection with the "Presence or Absence of Specified Color."

There have been instances where defects such as scratches, bumps, and foreign matter contamination occur in resin-molded parts like automotive components due to processing methods, causing difficulties. 【Inspection Settings and Results】 By using the "Scratch and Bump Inspection" feature of EasyInspector, we were able to determine scratches and bumps across the entire field of view in 0.5 seconds. Two inspection frames were created for the entire area, setting them apart as "white" and "black." 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: 10 x 6 mm Minimum Size of Inspection Target: 2 mm Number of Inspection Points: 1 (entire area) Camera Resolution: 300,000 pixels Lens Focal Length: 50 mm + 10 mm Macro Ring Distance Between Lens and Product: 190 mm Lighting: Ring Lighting Distance from Lighting to Inspection Item: Not recorded The current 'EasyInspector2' color package can be used for [Scratch and Bump Detection].

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

We received an inquiry from a manufacturer that produces a wide range of products, including vinyl chloride monomers, polymers, and special PVC resins, with whom we have had a business relationship for some time. They asked if our group company could distinguish the shapes of molded products (specifically, symmetrical shapes) and contacted us regarding this matter. 【Inspection Settings and Results】 We used a total of 14 images as training data, consisting of 7 images of the left side and 7 images of the right side. We enclosed the object we wanted to detect (in this case, the entire workpiece) in a frame and labeled them as "LH" and "RH" respectively (as shown in the left image). This process was carried out for all 14 training data images. In the right image, LH is correctly recognized as LH, and RH is recognized as RH. There are no issues with recognition even if the left and right are swapped. 【Software and Equipment Used】 Software Used: DeepSky Field of View: Approximately 482 x 383 mm Minimum Size of Inspection Target: 150 mm Number of Inspection Points: 1 (to check if the left and right workpieces are aligned across the entire screen) Camera Resolution: 1.3 million pixels Lens Focal Length: 8 mm Distance Between Lens and Product: Approximately 575 mm Lighting: Indoor fluorescent lights

Inquiry regarding scratch assessment for 200×100 mm square orange lens (plastic lens). There are requests for scratch assessment of plastic lenses, assessment of plastic molded product dents (depressions), assessment of plastic laser printing, and other appearance inspection requirements. In the initial stage, a free simple verification will be conducted, followed by guidance for paid verification. 【Inspection Settings and Results】 We verified whether scratches could be detected using the image inspection software EasyInspector. As a result, detection was possible, but false detections occurred in other areas depending on the type of scratch, making it impossible to detect "only defective scratches." With our product, the AI image inspection software "DeepSky," which uses AI (deep learning) capabilities, the AI can automatically adjust the setting parameters and recognize only the scratches as the target object. Therefore, it is recommended as it is less affected by changes in appearance due to lighting variations. 【Software Used】 Software used: EasyInspector710 Currently, EasyInspector2 also has AI capabilities and supports various inspections. We will propose solutions tailored to the inspection target.

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.

This is an inquiry from a manufacturer of thermosetting and thermoplastic resin molding processing. The inspection is based on the images provided. 【Inspection Settings and Results】 The left image shows the annotation work to outline the area to be inspected. The right image shows the detection frame. There were no instances where defective products were incorrectly classified as acceptable, but there were 2 images where acceptable products were incorrectly classified as defective. Since September 2021, a data augmentation feature for training images has been implemented. By using this convenient feature, it is possible to learn from a larger number of images with variations in orientation, angle, and brightness of defects that occur only occasionally, which improves accuracy. 【Software Used】 Software Used: DeepSky Learning Version Number of Inspection Points: 4

**Inspection Settings and Results** By using EasyInspector's "Comparison with Master Image" feature, inspections for four areas of burrs, chips, and shapes were possible. Backlight illumination was used to enhance the contrast between the product and the background for inspection. **Software and Equipment Used** Software Used: EasyInspector310 Field of View: 200 x 150mm Minimum Size of Inspection Target: 0.5mm Number of Inspection Points: 4 Camera Resolution: 1.3 Megapixels Lens Focal Length: 35mm Distance Between Lens and Product: 130mm Lighting: Backlight Current 'EasyInspector2' color package allows inspection with "Comparison with Master Image."

The AI general-purpose appearance inspection software "EasyInspector2" has newly added the "AI Segmentation" feature. The "AI Segmentation" feature performs segmentation (region division and labeling of each pixel in the image) using deep learning within the image. It calculates the ratio of pixels detected by segmentation within a specified polygonal area and makes pass/fail judgments. This feature can mainly be used for the following applications: - Tank water level - Area of metal processing surfaces and coating area - Measurement of crop growth (size) - Detection of lesions in photos and measurement of their area - Checking for coating gaps in sealants and adhesives - Monitoring the amount of smoke emitted By using the AI Segmentation feature for judgment, it achieves: - Improved work efficiency: Significant time savings compared to visual inspection - Enhanced accuracy in quality control: Reducing human errors and stabilizing quality - Cost reduction: Lower labor costs and reduced costs due to suppression of defective products.