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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
Metal Metal
Plastic molding Plastic molding
Automotive parts Automotive parts
Resin products Resin products
Food Food
Logistics and Warehouse Management Logistics and Warehouse Management
Construction and architecture Construction and architecture
Meter Meter
Surveillance Surveillance
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Inspection technique Inspection technique
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Image Inspection Case Collection Image Inspection Case Collection
Plastic

Plastic molding

We will introduce examples of image inspection for plastic molded products.

[AI Image Inspection Case] Defect Detection of Glossy Resin Coated Products

Detecting glossy resin-coated items with AI image inspection software!

Automotive parts and other resin-molded interior painted products often have a glossy and elegant finish. We are considering our inspection software to stably produce higher quality products. 【Inspection Settings and Results】 We were able to detect black specks of about 0.2 mm within the black glossy paint. To capture fine defects, we proposed using multiple cameras with a method that slowly conveys the items for magnified imaging. In this evaluation, lighting was a significant factor. We conducted the inspection using software that employs AI (Deep Learning). Traditionally, image inspection has been difficult for glossy or mirror-finished products with conventional inspection software, but with innovative lighting and DeepSky, easy setup for inspection has become possible.

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[AI Image Inspection Case] Judgment of dents, scratches, and chips on painted products.

The AI image inspection software evaluates dents, scratches, and chips on interior painted products!

Automotive parts such as resin-molded components require higher quality interior parts as the luxury of the vehicle increases. This inquiry is about automating the inspection of small "dents, thread scratches, and chips" on interior painted parts. 【Inspection Setup and Results】 Using DeepSky's inspection capabilities, we were able to determine "dents, thread scratches, and chips" on resin-painted products. To achieve high precision in the inspection, we wanted to capture defective areas in larger images, so we evaluated them by magnifying the display. To shorten inspection time, we are proposing an inspection environment where multiple cameras inspect simultaneously on a conveyor. The left image is the "training image" for the defects, and the right image is the "detection frame."

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[AI Image Inspection Case] Inspecting the Shape of the Cover Panel

Detect the dimensional differences at two locations of the cover panel and determine similar-looking imitations (different items).

The engines for motorcycles and automobiles produced by the machinery manufacturer, along with the parts implemented in them (this time it was the cover panel), require advanced technology. To emphasize the development of human resources and the improvement of technology, we recommend automating the simplified visual inspection. 【Inspection Settings and Results】 By using the "Dimension Angle Inspection" feature of EasyInspector, we were able to detect dimensional differences in two locations and determine visually similar items (different products) in 0.75 seconds. A free trial version of EasyInspector is available on our company's download page. You can also use images taken with your smartphone. Please give it a try. 【Software Used】 Software Used: EasyInspector710 Number of Inspection Points: 2 The current 'EasyInspector2' MS (MeaSure) package can inspect using [Position and Width Measurement] and [Angle Measurement].

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[AI Image Inspection Case] Inspection of the presence or absence of markings and holes in rigid PVC.

Detect the presence or absence of 13 holes, differences in their positions, and the presence or absence of engravings to determine similar-looking counterfeit products (different items)!

Our image inspection software is used by tool manufacturing companies. We manufacture specialized tools that support various lifelines such as electricity, gas, water, telecommunications, railways, and defense, as well as products that support people's lives in various ways, and our inspection software is utilized in that process. 【Inspection Settings and Results】 By using the "Scratch and Defect Inspection" feature of EasyInspector, we were able to detect the presence and positional differences of 13 holes, as well as the presence of markings, and determine visually similar counterfeit products (different items) in 0.53 seconds. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: Approximately 610 x 410mm Minimum Size of Inspection Target: 5mm Number of Inspection Points: 13 Camera Resolution: 3 million pixels Lens Focal Length: 6mm Distance from Lens to Product: 780mm Lighting: Linear Fluorescent Lamp Distance from Lighting to Inspection Item: Approximately 400mm Current inspections can be performed with the 'EasyInspector2' color package for [Scratch and Defect Detection].

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[AI Image Inspection Case] Implementation Inspection of Automotive Interior Parts

We will conduct implementation inspections of automotive interior parts using AI image inspection software!

Automotive parts and other resin-molded components may have variations in the presence or absence of holes and their 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. Our company is located in Hamamatsu City, Shizuoka Prefecture, an area with many automotive manufacturers, so we have the impression that most of our customers are in the automotive parts manufacturing industry. 【Inspection Settings and Results】 By using EasyInspector's "Color Comparison Inspection" feature, we were able to detect the presence or absence of holes, their positions, and color differences in 10 locations, and determine similar-looking items (different products) in less than 3.32 seconds. We were able to inspect 5 plastic pins (green), 2 plastic pins (white), 1 urethane tape, 1 metal pin, and 1 urethane resin in a single shot and inspection.

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[AI Image Inspection Case] Determination of Misplaced Keyboard Buttons

It detects the position differences of the six buttons and misalignment of prints, and determines similar-looking counterfeit products (different items)!

An accident occurred during the process of inserting similar buttons on the keyboard. This is a project for a major business reform at the request of the production line system manufacturer. We conducted a judgment test after receiving photos via email. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to detect positional differences and printing misalignments of six buttons, and we could identify visually similar items (different products) like "U" and "V" in less than three seconds. 【Software Used】 Software Used: EasyInspector310 Number of Inspection Points: 6 The current 'EasyInspector2' color package can be used for inspection with the "Comparison with Master Image" feature.

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[AI Image Inspection Case] Inspection of the Presence or Absence of Packaged Products

We will inspect and determine the presence of packaged products using AI image inspection software!

When shipping products from a resin processing manufacturer, there may be cases where all products must be packed in partitioned cardboard boxes. Since workers manually pack each box one by one, there have been instances where defective shipments were made due to insufficient product quantities. As a solution, we chose to verify the presence of products using image processing. 【Inspection Settings and Results】 Using the "Specified Color Presence Inspection" feature of EasyInspector's "Color Comparison Inspection," we inspected the presence of 30 products inside a box approximately 600mm x 400mm in size. The inspection was set up so that if the product's color was detected from the inspection frame, it would pass; if not, it would fail. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 400mm x 600mm Minimum Size of Inspection Target: Approximately 35mm x 150mm Number of Inspection Points: 30 Camera Resolution: Not applicable for images Current inspections can be performed with the 'EasyInspector2' color package for "Specified Color Presence."

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[AI Image Inspection Case] Contamination Dirt Inspection

We will detect contaminants of size 0.3 mm² within the resin molded products.

A resin molded product manufactured by an automotive manufacturer. We received an inquiry from our company with the aim of detecting 0.3 mm² size contaminants through image processing to improve work efficiency. 【Inspection Settings and Results】 Using the "Scratch and Flaw Inspection" function of EasyInspector, we set it up to detect 0.3 mm² size contaminants. The color of the flaws was set to black, and the detection was configured to identify darker colors compared to the surrounding pixels. The detection sensitivity was set to 3, as a lower number indicates better sensitivity; however, due to the small size of the target contaminants, even hair and dust were judged as foreign substances. As part of the operation, we proposed detecting contaminants and hair as NG (non-conforming) through image inspection, followed by a visual confirmation of the NG items.

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[AI Image Inspection Case] Inspection of Plastic Molded Products

Detects foreign objects and short shots in plastic molded products!

There were instances of defective products being shipped due to foreign objects and short shots in products molded by a plastic injection molding machine. 【Inspection Settings and Results】 Four donut-shaped plastic molded products were placed within the field of view. Using the "Scratch and Defect Inspection" feature of EasyInspector, we set it to fail if a white defect was found among black objects. Although the background was white, we were able to detect white defects from within the objects by applying a mask using the non-detection pixel settings. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 55mm x 73mm Minimum Size of Inspection Target: 1mm Number of Inspection Points: 4 Camera Resolution: 1.3 Megapixels Lens Focal Length: 12mm Distance from Lens to Product: Approximately 500mm The current 'EasyInspector2' color package can be used for [Scratch and Defect Detection] inspections.

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[AI Image Inspection Case] Burr Detection Inspection of Plastic Parts

Detects burrs on the textured surface of plastic parts!

When inspecting the textured surfaces of plastic parts from an automotive parts manufacturer, it is common for burrs to appear. However, it has been difficult to distinguish between the textured surface and burrs under 0.5mm, which has led to the shipment of defective products. To detect small discrepancies, we considered implementing image processing software. 【Inspection Settings and Results】 We used the "Dimension Angle Inspection" feature of EasyInspector along with backlight illumination. By using backlight illumination, we were able to clearly capture the contours of the object. We then set up the "Dimension Angle Inspection" to detect the boundary between bright and dark areas. If the values exceed those of the normal parts, a failure judgment is made, allowing us to detect burrs of 0.5mm.

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[AI Image Inspection Case] Inspection of Bushing Insertion Port

We will simultaneously inspect the front and back of the bushing and the height difference of the bushing!

This is a verification of the bush insertion point at the request of the trading company. The inquiry is whether it is possible to simultaneously inspect the front and back of the bushing and the bushing with height differences. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to display the inspection results for the presence of two bushings and reverse insertion of the bushing in 0.25 seconds. The inspection item was set to be positioned halfway on the screen, assuming that the same item would be installed on the opposite side. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: 1000 x 1500mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 2 Camera Resolution: 3 million pixels Lens Focal Length: 12mm Distance Between Lens and Product: 750mm Lighting: Indoor lighting The current 'EasyInspector2' color package can be used for inspection with the "Comparison with Master Image" feature.

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[AI Image Inspection Case] Inspection of Resin Product Parts

We will conduct inspections of the installation, presence, and position of resin product components!

EasyInspector specializes in inspecting the presence or absence of parts and positional checks for resin products, with numerous case studies available. It helps prevent careless mistakes in assembly defects. 【Inspection Settings and Results】 We were able to detect the presence of assembly and assembly positions as expected. We propose displaying both the front and back inspection results on a single monitor, allowing simultaneous confirmation of the front inspection results at 0.76 seconds for 11 inspection frames and the back inspection results at 0.60 seconds for the same 11 inspection frames. We have many case studies regarding operational methods, so please feel free to consult us. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 4000 x 3000mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 22 Camera Resolution: Upper 1.3 million pixels, Lower 1.3 million pixels WEB camera Lens Focal Length: Upper 8mm, Lower none Distance Between Lens and Product: Upper 650mm, Lower 300mm Lighting: Fluorescent lights (approximately 500mm in length) were placed 400mm apart for both upper and lower.

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[AI Image Inspection Case] Inspection of Transparent Workpieces

We will determine whether the filter installation of transparent plastic products is correct.

One image was OK and one was NG; I sent an email and received a free evaluation. 【Inspection Settings and Results】 By using EasyInspector's "Presence of Specified Color Inspection" function, we were able to determine the presence of a filter in one location in 0.31 seconds. 【Software Used】 Software Used: EasyInspector310 Number of Inspection Locations: 1 The current 'EasyInspector2' color package can inspect for the "Presence of Specified Color."

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[AI Image Inspection Case] Diameter Measurement Inspection of Plastic Products

We will conduct inspections of the dimensions of circular plastic products!

Dimensions are an important issue in various precision products. At EasyInspector, we allow input of dimension conversion values, and by registering enlarged images of good products as a master and entering the actual dimensions, it becomes easy to determine items outside the set range as defective. 【Inspection Settings and Results】 By using EasyInspector's "Dimension Angle Inspection" feature, we were able to set three types of measurement methods for inspecting the largest outer circle: "Left-Right Width - Front Point Circle is White," "Right-Back Point / Left-Back Point - Calculate and judge the difference in already measured dimensions and angles," and "Left-Right Width - Front Point Circle is Black," allowing for judgment in less than one second. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 200 x 210mm Minimum Size of Inspection Target: 15mm Number of Inspection Points: 3 Camera Resolution: 10 million pixels Lens Focal Length: 25mm Distance Between Lens and Product: 600mm Lighting: Thin Ring Lighting (Indoor lights turned off)

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[AI Image Inspection Case] Rubber Parts Assembly Inspection

We conduct visual inspections of resin-molded parts related to automobiles and determine the presence or absence of rubber part installation and detect any double installations.

There was a request to photograph products arranged on a pallet. You were looking for inspection software that could be generalized to other parts by exchanging the arranged pallets. 【Inspection Settings and Results】 By using EasyInspector's "Color Comparison Inspection and Presence of Specified Color Inspection" function, it was possible to determine in less than 0.57 seconds whether the rubber parts of 25 products arranged in the pallet during shipping packaging were correctly implemented.

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[AI Image Inspection Case] Ept, Hose, Felt, Presence or Absence Inspection

We will conduct a multiple-item inspection to ensure that no parts, such as Eptsealer components, are forgotten during the manufacturing of automotive parts.

The inspection checks whether the hood rubber is attached, whether the ept is affixed, the detection of the hose, the presence or absence of felt attachment, and whether the clip is installed. 【Inspection Settings and Results】 For inspection frames 1 to 15, we used EasyInspector's "Color Comparison Inspection" function to set pass or fail criteria, and for inspection frame 16, we set a "Dimension Angle Inspection" to detect the clip line, allowing all inspections to be judged in under one second at once. We tested multiple items: in inspection frames 1, 2, 3, and 4, we checked whether the hood rubber is attached; in frames 5, 6, 7, 10, and 11, we checked whether the ept is affixed; in frames 8 and 9, we checked for hose detection; in frames 12, 13, 14, and 15, we checked for the presence or absence of felt attachment; and in frame 16, we checked whether the clip is installed.

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[AI Image Inspection Case] Overlapping Inspection of Plastic Processed Products

We will conduct inspections of plastic processed products using the overlay function.

We received an inquiry from a manufacturer regarding plastic processed products. If you can send us sample products, we will conduct an inspection feasibility verification at our company. After that, you will verify it with a demo machine at your company and make a judgment on the inspection feasibility. If you can send us the sample products, we will send you an evaluation request form, so we ask for your consideration. 【Inspection Settings and Results】 In inspections that can be detected using the "Comparison with Master Image" function of EasyInspector, fixed positioning is essential. Therefore, using the live or overlay function with inspection results makes it easier to identify misalignments and facilitates placing the workpiece in the correct position. The image on the right shows the settings for inspecting while overlaying the master image and the live image. 【Software Used】 Software Used: EasyInspector710 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 Transparent Spoons

The small transparent spoon is inspected on bubble wrap while packaged in transparent film.

In convenience stores and dessert shops, it has become common practice to sell items with cutlery included. This time, we will inspect small transparent spoons that are packaged in transparent film on top of bubble wrap. Our company is committed to creating an environment tailored to our customers' inspection situations, providing free evaluations and reports. 【Inspection Settings and Results】 By using DeepSky's inspection features, we easily set up a configuration where if one spoon is present in the screen area, it displays "OK." On the left is the annotation image (the specified image used to teach what to detect), and on the right is the image detecting the spoon. DeepSky can make judgments without fixed positioning, even in situations where it is difficult for a person to distinguish by visual confirmation. 【Software and Equipment Used】 Software Used: DeepSky Field of View: 150 x 120mm Minimum Size of Inspection Target: 70mm Number of Inspection Points: 1 (configured to display "OK" when one spoon is detected and "NG" when no spoon is detected; one label) Camera Resolution: 1.3 million pixels Lens Focal Length: 8mm Distance Between Lens and Product: 430mm Lighting: Indoor fluorescent lights

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