スカイロジック List of Products and Services

We have received a request for a simple verification from a manufacturer of metal parts for automobiles. There is a workpiece with a φ8.5 hole, and the areas we want to measure this time are the widths of the flat surfaces on both sides of this φ8.5 hole. First, we will confirm that the φ8.5 hole is correctly made, and then we will check whether the flat surfaces on both sides are each 2.75 mm or more, which will be done through image inspection. Using this hole, we will verify whether the area that serves as the seating surface for the bolt head is φ14 or more. 【Inspection Settings and Results】 The seating surface is completely flat, and it seems that other hole chamfers have an inclination of more than 30 degrees, so I believe we can capture a clear image using coaxial illumination. We took images using a metal plate we had in our company, and I would appreciate it if you could check the materials. This time, we used a 1.3-megapixel camera with a 35mm lens. The total cost for the camera and lens is about 80,000 yen. We used the "Dimension Angle Inspection" function of EasyInspector, and it was possible to conduct the inspection in 0.15 seconds.

Dimensions are an important issue across various industries and products. When measuring with the inspection software "EasyInspector," it is crucial to have a stable setup. Additionally, metal products tend to cause halation, making it difficult to obtain accurate measurements. If you send us a sample, we will report the results of our verification of the environment, including lighting, camera, and lens, free of charge. 【Inspection Settings and Results】 By using the "Dimension Angle Inspection" feature of EasyInspector, we measured the thickness. The camera was positioned directly above the cup, and by rotating the cup, we measured a single workpiece at several points and confirmed that it had a uniform thickness. The actual dimensions can be displayed by setting the dimension conversion values. The values can be recorded in a CSV file.

This is a dimensional measurement inspection of metal parts. The vertical and horizontal dimensions of the outer shape were measured. We will inquire in advance whether the measurement is to be done in a fixed state or if the field of view is to be done one by one, the duration of a single inspection, and the inspection accuracy (tolerance). 【Inspection Settings and Results】 By using the "Dimensional Angle Inspection" feature of EasyInspector, measurements at two locations (vertical and horizontal) were possible. The accuracy was ±0.3 mm for both vertical and horizontal, which was sufficient with a 1.3-megapixel camera. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: 70 x 90 mm Minimum Size of Inspection Target: 0.1 mm Number of Inspection Points: 2 Camera Resolution: 1.3 Megapixels Lens Focal Length: 25 mm Distance from Lens to Product: 450 mm Lighting: Backlight Distance from Lighting to Inspection Item: Approximately 80 mm The current 'EasyInspector2' MS (MeaSure) package can perform inspections for [Position and Width Measurement] and [Angle Measurement].

We received sample products from a brass product manufacturer and conducted an inspection of the "core defects" in the metal cross-section. In metal products where strength and wear resistance are required, scratches and bubbles are defects that should be noted. 【Inspection Setup and Results】 By using EasyInspector's "Scratch Inspection" feature, we were able to detect "core defects" across the entire cross-section in 1.14 seconds. The left image is the master image. The pink frame indicates the set inspection area. The right image shows the detected defects (enlarged). The red color represents the detected pixels, and the threshold for determining failure based on the number of detected pixels will be set by the customer. It is important to arrange the camera (lens) → ring lighting → inspection items in a straight line for this inspection.

At the request of a torque equipment manufacturer, we inspected the feasibility of confirming the positions for tightening bolts. The term "torque" generally refers to "twisting moment" or "rotational moment." There was a request to use a 180-degree web camera, and the camera was sent along with the sample product. The tightness of bolts is considered important across various industries. We hope to contribute to safer product shipments by utilizing image inspection. 【Inspection Settings and Results】 By using EasyInspector's "Color Comparison Inspection and Presence of Specified Color Inspection" function, we were able to detect the tightening positions of two bolts and check whether the bolts had been tightened more than twice. The bolts at the corners were detected by identifying the characteristic colors at each position, allowing us to specify which part was the torque wrench tightening position. To identify the bolt positions located at the top, bottom, left, and right, changes and additions to the inspection conditions are necessary. Additional software or similar tools are required to identify the current bolt positions based on the combinations of pass/fail judgment results.

We received samples at the exhibition and conducted inspection and verification. You requested an inspection of the tip of the drill bit. Using our inspection software, we can measure fine and critical areas and provide more detailed information at the time of shipment. 【Inspection Settings and Results】 By using the "Dimension Angle Inspection" feature of EasyInspector, we were able to detect the tip of the drill bit in 0.7 seconds. By setting the "Dimension Conversion Value Setting," the actual dimensions will be displayed. If the goal is merely to determine the difference between good and defective products, it may be possible to conduct inspections using the "Comparison with Master Image" inspection.

This is a request for inspection regarding product assembly from a mold manufacturer. Assembly errors are a challenge in various manufacturing environments. This time, we will look for defects in the assembly at 11 locations on the front and 3 locations on the back. The image inspection software will support stable good product shipments. 【Inspection Settings and Results】 By using EasyInspector's "Comparison with Master Image and Inspection of Specified Color Presence" function, we were able to detect the presence of 14 parts and any misalignment in assembly positions, determining visually similar look-alike products (different items) in 0.76 seconds for the front and 0.29 seconds for the back. We proposed a reduction in inspection takt time by fixing the product in a jig and installing camera lenses and lighting from above and below according to the requirements.

In a pachinko parts manufacturer, when installing pachinko frames, the color of the screws may be changed depending on the product. There were issues with mistakes where the color of the screws did not match the installation position, as well as defects due to missed installations being shipped. Therefore, we considered using image processing for mass production. 【Inspection Settings and Results】 To detect 50 screws within half of the field of view of a product measuring 650mm x 450mm, we used the "Color Comparison Inspection" feature of EasyInspector, specifically the "Presence of Specified Color Inspection." This setting detects the color of the screws that should be present in each inspection frame. While detecting the color of the screws was relatively easy, we tightened the color judgment tolerance settings in areas where the colors were similar when the screws were removed, allowing us to detect missed installations of screws.

When inserting screws, whether they are positioned correctly has a significant impact on the completion of the product. I considered whether this confirmation could be done using image recognition software. [Inspection Settings and Inspection Results] There are six holes within the field of view, and among them, four holes have silver screws, while two holes have black screws, which is the criteria for passing. Therefore, for the areas with silver screws, we use EasyInspector's "Color Comparison Inspection" feature to compare with the "Master Image" to check whether there is a silver screw in the designated inspection frame. For the areas with black screws, we used the "Presence of Specified Color Inspection" in the "Color Comparison Inspection." The area without a screw appears as a clean circle in black (background), while when a screw is present, it takes on a triangular shape, allowing us to inspect how many pixels of black are in the inspection frame. By setting passing criteria for each inspection frame, we were able to recognize the four silver screws and the two black screws.

The inspection is to determine the presence or absence of screws based on the provided image. We assessed whether the screws in two locations were properly installed. 【Inspection Settings and Results】 We used the "Color Comparison Inspection / Presence of Specified Color Inspection" feature of EasyInspector. The specified color was set to the color of the screws. The processing was completed in less than one second, but in the provided image, the contrast was too low for detection. By adjusting the lighting and taking the photo, it is expected that detection will be possible. 【Software Used】 Software Used: EasyInspector310 Number of Inspection Points: 2 The current 'EasyInspector2' color package can perform inspections for the presence of specified colors.

The tools handled by cutting tool manufacturers required the angles of the machined parts (the inner and outer edges of the ring) to be quantified in order to enhance product accuracy. However, there was a problem where the difference between defective and non-defective products could only be visually identified due to the lack of inspection methods. This issue was resolved through an inquiry to our company, which specializes in image processing software. 【Inspection Settings and Inspection Images】 *Upper image: Machined area for measuring the base (Master image: After inspection) *Lower image: Machined area reflected in a mirror for measuring height (Master image: After inspection) By using the "Dimensional Angle Inspection" feature of EasyInspector, we were able to quantify the base and height, making it possible to determine the angle. The base can be calculated by detecting the area where the color changes when viewed from above. To verify the height with a single camera, a mirror was placed inside the ring to reflect the image to the camera, allowing for calculation in a manner similar to that of the base. By specifying tolerances in the settings, it became possible to inspect the pass/fail status of the angle (base and height).

In the electronic components manufacturing process, there is a step where a copper-colored disc with a diameter of 300mm has an area of about 3mm on its outer circumference treated with a chemical solution, resulting in a color change. During this process, there were abnormalities where the chemical solution was not being dispensed properly, leading to untreated areas, as well as cases where the width that should have been treated was not processed correctly. As a solution, it was considered that using image processing software would allow for more accurate and quicker inspections than visual checks. 【Inspection Settings and Results】 Using the "Presence of Specified Color Inspection" function of EasyInspector's "Color Comparison Inspection," we checked whether the chemical solution was being dispensed correctly, and using the "Dimension Angle Inspection" function, we verified whether the width that should have been treated was processed correctly. The field of view captured about 1/4 of the disc, and since the difference between the copper color of the disc and the changed black color of the chemical solution was clear, we were able to conduct accurate inspections.

Metal parts processing manufacturers often handle small products. When the inspection targets, such as metal buttons, are as small as 10mm, and the areas with scratches or deformations are even smaller, it can be difficult to visually confirm these areas, leading to the issue of shipping defective products. Therefore, we attempted to improve this situation by using image processing software. 【Inspection Item Settings and Inspection Results】 * Scratch detection (before inspection: after inspection) * Non-detection pixel settings (the red areas are not detected) By using the "Scratch Inspection" feature of EasyInspector, we set it up so that if scratches (white spots) are detected within the inspection target, it would be marked as a failure. At that time, due to the lighting conditions, white shiny spots can occur, so we implemented non-detection pixel settings to avoid false detections.

The products handled by cutting tool manufacturers often have many similarities, so each product is marked with an imprint for management purposes. However, due to the presence of some products with irregular shapes, there were instances of imprint printing errors. This time, we proposed software to detect discrepancies in characters and smudging in the imprints of cylindrical products, allowing for the distinction between good and defective items. 【Inspection Settings and Results】 By using the "Color Comparison Inspection" feature of EasyInspector, specifically the "Comparison with Master Image" function, we set up one inspection frame for each inspection item to detect the same imprint. Since the objects with imprints are cylindrical, it was necessary to detect areas that are difficult to see on the sides. Additionally, because the products were coated with anti-rust oil, we fixed their position and orientation and used dome lighting to ensure that light reached the sides, allowing for accurate judgment.

As a necessary verification item for automotive parts manufacturing companies, there is a check for the presence or absence of holes in pressed molded products. Traditionally, operators counted the holes and checked whether they were in the correct position. With the desire to automate this process through image inspection for efficient and accurate testing, we received inquiries from our company. 【Inspection Settings and Results】 By using the "Presence of Specified Color Inspection" feature in EasyInspector's "Color Comparison Inspection," we set up inspection frames for 10 holes and configure it to pass if 10 black (holes) are detected. By setting the pass/fail criteria, it becomes possible to detect holes ranging from small to large.

The molded products in sheet metal processing often require precise accuracy. This time, we conducted an inspection of the curvature angle using two inspection frames. This inspection checks for misalignment of the parts. 【Inspection Setup and Results】 By using the "Dimension Angle Inspection" feature of EasyInspector, we combined two inspection frames and calculated the intersection points. In the repeatability accuracy test, the maximum value was 371.329, the minimum value was 371.308, resulting in a difference of approximately 0.021mm. The inspection cycle time was 0.60 seconds. 【Software and Equipment Used】 Software Used: EasyInspector310 (Ver.2.5.0.0) Field of View: 400 x 300mm Minimum Size of Inspection Target: 40mm Number of Inspection Points: 2 Camera Resolution: 3 million pixels Lens Focal Length: 12mm Distance Between Lens and Product: Not recorded Lighting: None The current 'EasyInspector2' MS (MeaSure) package can perform inspections for [Position/Width Measurement] and [Angle Measurement].

【Inspection Settings and Inspection Results】 By using the "Dimension and Angle Inspection" feature of EasyInspector, it was possible to set six inspection frames and determine in 0.22 seconds whether the specified parts on the left and right sides of the component are parallel. The inspection results can be displayed on the monitor with dimensions. If necessary, they can be recorded with photos and in CSV format. This time, the specifications were set to display the dimensions of the gaps on the left and right. 【Software Used】 Software Used: EasyInspector Current 'EasyInspector2' MS (MeaSure) package allows inspection with [Position and Width Measurement] and [Angle Measurement].

This time, we received a request from a major sash manufacturer for an inspection of aluminum parts in Shining Gray, White, and Brown colors, checking for the presence or absence of screws. This customer has also made multiple verification requests, and we are utilizing our image inspection software in various ways. The verification was conducted based on photos of the manufacturing line sent via email. 【Inspection Settings and Results】 By using the "Presence or Absence of Specified Color" function of EasyInspector, we were able to inspect each color. We set the shift correction to feature recognition and illuminated the product from a 45-degree angle above, which was key to highlighting the screw threads during inspection. Care was needed to ensure that reflected light did not directly enter the camera. The inspection cycle time this time was just over 2 seconds. 【Software Used】 Software Used: EasyInspector310 (Ver.2.5.0.0) Number of Inspection Points: 1

In the welding section, small defects such as tears, bead misalignment, and blowholes may occur. These defects can be difficult to detect visually. 【Inspection Settings and Results】 By using EasyInspector's "Presence of Specified Color Inspection" feature, we were able to determine the presence of two welding holes and detect the visually subtle welding tear in less than 0.25 seconds. In this case, we have set the non-detection pixels (the areas painted red). This part does not detect discrepancies with the master image. EasyInspector has various convenient settings.

We received a request to conduct a test for reading the vehicle body model label of a certain automobile manufacturer and recording it in CSV, as well as inspecting the reading of the nameplate engraving. At that time, achieving high accuracy in reading was a challenging task. We devised a method to separate letters and numbers for inspection. 【Inspection Settings and Results】 Using EasyInpector's "BAR/QR/OCR" function, we performed readings for two types of labels. For the first type, we set up 38 inspection frames for reading the label text and successfully read over 50 characters in 4.74 seconds. The second type was the text on the nameplate, for which we also set up 23 inspection frames and made a judgment in 4.65 seconds. This project has contributed to the system's version upgrade. Currently, it is easier to set up as "OCR Pro Inspection" in EasyInpector, allowing for more accurate readings.

Metal products often have parts that appear symmetrical. Many of our customers use our visual inspection software to prevent careless mistakes of parts that can be mistakenly implemented due to left-right errors from being passed on to the next process. 【Inspection Settings and Results】 By using the "Color Comparison Inspection / Presence of Specified Color Inspection" feature of EasyInspector, we were able to set the position and color for the correct orientation and make a judgment in less than one second. If you provide us with a photo of the defects you want to identify, it may also be possible to verify based solely on the photo. We look forward to hearing from you even if you cannot send sample products. 【Software Used】 Software Used: EasyInspector310 Number of Inspection Points: 1

This time, we received a request from an automotive parts manufacturer for a free evaluation of the presence or absence of scratches on the metal parts of automotive components, based on the images provided. They sent photos of the valve (automotive bulb) and documentation of the defects. [Inspection Settings and Results] By using the "Scratch Detection" feature of EasyInspector, we were able to detect multiple scratches sensitively in less than one second. The threshold settings can be adjusted by the customer to determine how much of the scratch is considered acceptable. [Software Used] Software: EasyInspector310 Number of Inspection Points: 1 The current 'EasyInspector2' color package can be used for [scratch and defect detection].

In the assembly and implementation of fine parts within metal products of approximately 50mm, there have been incidents where products were shipped with incorrect assemblies due to the similar appearance of their silhouettes. To address this issue, we attempted an image inspection judgment test. 【Inspection Settings and Results】 By using the "Color Comparison Inspection" feature of EasyInspector, we were able to detect differences in the orientation of parts and determine visually similar items (incorrect products) in less than one second. We set a pixel detection rate pass/fail criterion. Here, it is configured to fail if the detected silver color exceeds the upper limit. The red areas in the photo indicate the pixels that detected the specified color. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 250 x 200mm Minimum Size of Inspection Target: 5mm Number of Inspection Points: 1 Camera Resolution: 3 million pixels Lens Focal Length: 35mm Distance Between Lens and Product: 300mm Lighting: Dome Lighting

The differences in color are not significant, so there were many overlooked defects during visual inspection. There was a request for evaluation to determine the presence or absence of burrs using a fixture. 【Inspection Settings and Results】 By using the "Scratch Inspection" feature of EasyInspector, we were able to detect burrs in red. In EasyInspector, inspection in a fixed state is essential. False detections in positions where burrs do not occur can be managed by setting "non-detection pixels" to prevent detection. It was an important point in the inspection to enlarge and capture the inspection area significantly.

Regarding the engraving of the metal parts this time, it was a verification point to determine the contrast between black text on a black background, which is not clearly distinguishable, and to see if the printing could be clearly captured using lighting, as the metal causes glare when illuminated. 【Inspection Settings and Results】 Using the "Scratch Inspection" feature of EasyInspector, we overlapped the inspection frame and set up two types of settings. One was to detect black scratches, and the other was to detect white scratches, so that when a scratch (the edge of the printed part) was found, it would pass. Both inspections were able to be judged in 0.2 seconds at once. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 1500mm x 1700mm Minimum Size of Inspection Target: 15mm Number of Inspection Points: 1 Camera Resolution: 1.3 Megapixels Distance: 35mm Distance Between Lens and Product: Approximately 350mm Lighting: Linear Fluorescent Lamp

Inspection of metal parts is often difficult due to light reflection. In this case, the presence of a white foreign object trapped in the product was identified as a defect, and the key point of the verification was whether we could accurately distinguish between the halation and the white foreign object. 【Inspection Settings and Results】 By using EasyInspector's "Comparison with Master Image" feature, we were able to detect foreign objects trapped in the metal parts. Since the reflection of the product varies individually, we set up additional and removed non-detection areas and also made adjustments to the lighting. As a result, we were able to determine the halation and visually similar white foreign object in less than 0.22 seconds. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 10 x 15mm Minimum Size of Inspection Target: Not recorded Number of Inspection Points: 1 Camera Resolution: 1.3 Megapixels Lens Focal Length: 25mm Distance Between Lens and Product: 300mm Lighting: Thin Diameter Ring Lighting

This is an inquiry from a manufacturer of industrial machinery asking if inspections can be conducted on a conveyor. 【Inspection Settings and Results】 Using DeepSky's inspection capabilities, it was possible to perform evaluations on the conveyor. The left image shows the process of enclosing the area of interest, referred to as "annotation." The right image displays the "detection frame." By separating the settings for overall defects, such as oil adhesion and roughness, from partial defects like scratches, drips, and bumps, we achieved good evaluation results.