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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
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Construction and architecture Construction and architecture
Meter Meter
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Inspection technique Inspection technique
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Knowledge of visual inspection Knowledge of visual inspection
Image Inspection Case Collection Image Inspection Case Collection
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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.

  • Image Processing Software

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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.

  • Image Processing Software

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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.

  • Image Processing Software

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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

  • Image Processing Software

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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

  • Image Processing Software

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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.

  • Image analysis software

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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.

  • Image Processing Software

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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.

  • Image Processing Software

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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.

  • Image Processing Software

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[AI Image Inspection Case] Inspection of Fitting Dimensions

The AI image inspection software determines the dimensions of metal parts!

By using EasyInspector's "Dimension and Angle Inspection" feature, we were able to determine the dimensions of two metal parts. The blue frame in the image indicates a passing inspection result. The NG item exceeded the preset standard value, resulting in a "Fail" judgment. The red frame indicates the failure display. The inspection cycle time was 0.85 seconds. 【Software Used】 Software: EasyInspector (formerly EasyInspector) Field of View: Approximately 433 x 317 mm Minimum Size of Inspection Target: 0.5 mm Number of Inspection Points: 2 Camera Resolution: 15 million pixels Lens Focal Length: 12 mm Distance Between Lens and Product: Approximately 380 mm Lighting: 2 linear fluorescent lights Distance Between Lighting and Inspection Item: Approximately 100 mm from above Currently, inspections can be performed with the 'EasyInspector2' MS (MeaSure) package for [Position and Width Measurement] and [Angle Measurement].

  • Image Processing Software

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[AI Image Inspection Case] Chipping of Logo Text

The AI image inspection software detects missing logo prints on resin molded products!

In a comprehensive assembly manufacturer specializing in contract design and production of resin molded products, which has been using our inspection software for some time, an incident occurred where the company logo printing was incomplete. As a result, we provided guidance on the setup method and conducted verification. We received photos of acceptable products and created images with defects using Illustrator. 【Inspection Settings and Results】 We will conduct inspections using EasyInspector's "Comparison Inspection with Master Image." The inspection target area is recognized to be about the size of the images you sent (approximately 50mm wide), and we believe that a camera with around 5 million pixels should be able to detect within this field of view (it is necessary to set up the inspection environment with appropriate lighting, etc.). When the printing is incomplete, the white background becomes visible, so if we can capture a good contrast between black and white with lighting, we should be able to detect the defects. If you could send us images of acceptable and defective products with the camera and work (fixed), we can also conduct verification on our side.

  • Image Processing Software

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[AI Image Inspection Case] Defect Inspection of Plastic Molded Products

Detecting defective parts of plastic molded products!

This is an inquiry from a manufacturer of plastic products processing. Even in the case of small-batch production of various types, our image inspection can assist with operational efficiency. Our company accepts verification and support from technical staff on a daily basis. If you have any issues, questions, or uncertainties during operation, we would be grateful if you could feel free to contact us at any time. 【Inspection Settings and Results】 By using the "Comparison with Master Image" function of EasyInspector, we were able to detect defective areas within four inspection frames. By dividing the inspection frame into four parts from the entire screen, it becomes possible to correct shifts in each inspection frame. As a result, we can suppress noise (very small differences) that may detect even good parts.

  • Image Processing Software

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[AI Image Inspection Case] Stainless Steel Distortion Inspection

We will determine the distortion of furniture hinges and the size of the pins!

This is an inspection of hinges (furniture hinges) made of SUS430 material, with a silver color and dimensions of 70×100 mm. The inspection is focused on determining any warping and the size of the pins, as requested by a general trading company for a simple verification. **Inspection Settings and Results** By using the "Dimension and Angle Inspection" feature of EasyInspector, we were able to inspect one location in 0.38 seconds. As a result of the simple verification, we have arranged for you to visit our company to see a demonstration. We ask that end users experience the demo unit firsthand, try out the setup methods and feel, before making a purchase. **Software and Equipment Used** Software Used: EasyInspector (formerly EasyInspector) Field of View: Approximately 67 x 53 mm Minimum Size of Inspection Target: 5 mm Number of Inspection Points: 1 Camera Resolution: 1.3 million pixels Lens Focal Length: 35 mm Distance Between Lens and Product: Approximately 380 mm Lighting: Ring lighting Distance from Lighting to Inspection Item: Illuminated from 50 mm above The current 'EasyInspector2' MS (MeaSure) package can perform inspections for [Position and Width Measurement] and [Angle Measurement].

  • Image Processing Software

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[AI Image Inspection Case] Inspection of Presence or Absence of Holes and Hole Diameter in Metal Parts

The AI image inspection software detects the presence of holes and hole diameters in metal parts!

This is a request for a simple verification of metal parts. Our inspection software is designed for easy integration and is sold as a one-time purchase, which has led to numerous inquiries from industrial machinery manufacturers and trading companies. 【Inspection Settings and Results】 We conducted verification of hole presence and hole diameter inspection using the sample we received. As a result, we were able to detect the presence of holes and make judgments. However, regarding the hole diameter inspection, under the current inspection conditions and environment, it was difficult to achieve the requested accuracy of approximately ±0.05mm, and stable judgments could not be made. Therefore, to conduct inspections at the above accuracy, it is necessary to consider alternative inspection methods, such as enlarging the measurement area for imaging and using multiple higher-resolution cameras. This time, we used the "Dimension and Angle Inspection" feature of EasyInspector.

  • Image Processing Software

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[AI Image Inspection Case] Detection of scratches, rust, and dents on metal fittings.

Detects scratches, rust, and dents on the car seat belt buckle!

This is a simple verification of the metal fittings of a car seat belt. Our company is located in Hamamatsu City, Shizuoka Prefecture. It is an active region for automotive parts manufacturing, and we have a track record of being adopted by over 2,000 industrial equipment manufacturers and manufacturers. We design inspection software that is easy to integrate and sold as a one-time purchase, and we have many repeat customers. 【Inspection Settings and Results】 By using the "Scratch Inspection" function of EasyInspector, we were able to inspect one location in 0.55 seconds. The image shows the imaging environment for this inspection. We verified all the sample products we received under the same lighting conditions and inspection settings. Among them, some defective products with scratches and some defective products with dacon could not be detected. Other sample products were able to detect the scratches and rust we wanted to identify.

  • Image Processing Software

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[AI Image Inspection Case] Inspection of Steel Column Dimensions and C-Surface

We will inspect the dimensions of the steel column and three locations of the C surface using AI image inspection software!

We received an inquiry about the dimensions of the steel column and the inspection of the C surface through our website, and subsequently, you sent us a sample product. Our company offers a "simple evaluation service" free of charge, conducted by our technical staff. If detection and judgment can be made during the simple evaluation, we recommend conducting a "feasibility verification" test that simulates actual operation, where evaluations of processing time and judgment accuracy are performed. Additionally, we offer a free loan of demo equipment, allowing users to experience the inspection software firsthand. [Inspection Settings and Results] By using EasyInspector's "Dimension Angle Inspection" function and "Master Image Comparison" function, we were able to inspect three locations in 1.37 seconds. This inquiry came from an end user, but since our company does not design machinery for manufacturing lines, we will find an industrial machinery manufacturer to build a system incorporating our inspection software.

  • Image Processing Software

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[AI Image Inspection Example] Tube Diameter Measurement

We will measure the diameter dimensions of the cross-section of a 24G tube (outer diameter 0.70mm) using AI image inspection software!

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.

  • Image Processing Software

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[AI Image Inspection Case] Detection of Defective Areas in Molded Parts

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

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.

  • Image Processing Software

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[AI Image Inspection Case] Inspection of Foreign Objects on Film

We will inspect for foreign substances, fine "black dots" and "white dots" during the film processing stage!

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.

  • Image Processing Software

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

The AI image inspection software detects incorrect component placements on electronic circuit boards!

I believe that substrates are the most common cases we receive inquiries about. This time, we have a request for a simple verification of a substrate. Our company offers a "Simple Evaluation Service" provided by technical staff free of charge. If detection and judgment can be made during the simple evaluation, it is recommended to conduct a "Feasibility Verification" test, which simulates actual operation, to evaluate processing time and judgment accuracy. Additionally, we offer free rental of demo machines, allowing users to experience the inspection software firsthand. 【Inspection Settings and Results】 Inspection was possible using the "Comparison with Master Image" feature of EasyInspector. The areas shaded in red are all recognized as differences. There are parts that accurately capture the differences in components and their presence or absence, as well as parts that misdetect due to light reflection or angle differences. Even if some differences were too small to capture in a single image, I believe that by enlarging and imaging those areas, detection of abnormalities can still be achieved, although the range that can be inspected in one go will be limited. 【Software Used】 Software Used: EasyInspector Current 'EasyInspector2' color package can be used for inspection with the "Comparison with Master Image" feature.

  • Image Processing Software

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[AI Image Inspection Case] Detection of Surface Defects (Chatter Marks) on Metal

Detect surface defects (chatter marks) on metal using AI image inspection software!

The request from a manufacturer engaged in metal rolling concerns a defect known as "chatter marks," which are surface defects. Sample images have been provided. Chatter marks refer to the horizontal streaks that appear at regular intervals in the direction of movement when polishing. They are commonly seen in plate polishing and are considered a significant issue for businesses that perform plate polishing, such as those working with flat bars. [Inspection Settings and Results] By using the "Scratch and Defect Inspection" feature of EasyInspector, we were able to detect chatter in one location (the entire screen) in 0.16 seconds. The setting is configured not to detect "vertical stripes." Due to the significant variations in the reflection of the light source and overall brightness caused by the lighting, it is essential to ensure that the lighting conditions are consistent during actual inspection operations. [Software Used] Software Used: EasyInspector Current 'EasyInspector2' color package [Scratch and Defect Detection] can be used for inspection.

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[AI Image Inspection Case] Die Casting 0.5Φ Casting Pores and Scratches

Detect defects in die-cast products with AI image inspection software!

We inspected die-cast products using a software called DeepSky, which utilizes AI (Deep Learning). By training the software on the areas we want to detect, it adjusts its own settings and learns to recognize them. This time, we are assuming an operation where all items on the conveyor are inspected using DeepSky. 【Inspection Settings and Results】 This inquiry also came directly from an end user. Since our company does not sell industrial equipment like conveyors, we ask customers to purchase through a vendor. The left image shows the annotation process, where we outline the defective parts we want to identify. The right image displays the detection frames of the inspection results. The numbers indicate the confidence percentage of the AI based on the number of recognition points. 【Software and Equipment Used】 Software used: DeepSky Field of view: Approximately 46×37 mm Minimum size of inspection target: 5 mm Number of inspection points: 1 Camera resolution: 1.3 million pixels Lens focal length: 50 mm + 5 mm close-up ring Distance between lens and product: Approximately 430 mm Lighting: Indoor fluorescent lights

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[AI Image Inspection Case] Label Reading and Pin Wiring

It can also detect objects that are difficult to capture features of, such as "fine defects," "workpieces with gloss," and "black parts on a black background"!

The manufacturer specializing in ultra-fine solder and ultra-fine processing has considered our inspection software. Our technical staff responds daily to inquiries about imaging environments that directly affect accuracy, such as "fine defects," "glossy workpieces," and "black parts on a black background," which are difficult to capture. [Inspection Settings and Results] By using the "BAR/QR/OCR" function of EasyInspector, we were able to inspect one location in 0.21 seconds. The inspection of pin wiring is displayed in the image, and by using the "Presence of Specified Color Inspection" function of EasyInspector, we were able to inspect 10 locations (10 colors) in 0.11 seconds. The right image can be set to display the inspection results screen. [Software Used] Software Used: EasyInspector Current version 'EasyInspector2' RD (ReaDing) package [Bar/2D code] CL (color) package [Presence of Specified Color] can be used for inspection.

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[AI Image Inspection Case] Detection of Defects on Coated Panels

Detects difficult-to-image painted items!

Painted products can be considered as challenging work for capturing images of defects. Clearly identifying defective areas is a very important factor for image inspection. We will explore different lighting techniques for verification. 【Inspection Settings and Results】 The process of enclosing the areas we want to detect in rectangles, as shown in the image, is called annotation. In practice, it is necessary to capture and annotate as many defects as possible. The number of images required depends on the inspection, but we believe around 50 images are necessary. Given the size of the defects, we propose using two cameras (considering the inspection cycle, this means two systems). By training various patterns of defects in a software called DeepSky in advance, it becomes possible to detect unknown defects as well. 【Software Used】 DeepSky

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[AI Image Inspection Case] Metal Inspection with Oil Adhesion

AI image inspection software for detecting fine defects on metal parts with oil contamination!

At the request of a precision machinery manufacturer, we assessed the fine defects on metal parts with oil contamination. They desired a highly accurate inspection of the oil-contaminated areas. For precision products, it is crucial to maintain high quality in order to gain customer trust. Our inspection software supports high-quality shipments. 【Inspection Settings and Results】 We conducted inspection verification on metal parts coated with oil, applying oil to the "shift correction" and "inspection" areas, which were thought to affect the inspection. We performed multiple intersection coordinate position measurement inspections and reported the results. In 10 consecutive inspections, the variation between the MAX and MIN values was 0.009. Three types of workpieces were inspected, yielding favorable judgment results. 【Software and Equipment Used】 Software Used: EasyInspector

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[AI Image Inspection Case] Tape Defect and Foreign Object in Tape Section

We conducted inspections for two areas of tape defects and foreign objects in the tape using AI image inspection software!

The manufacturer of FA machine automatic systems was considering inspection software for film defects. Our company has over 2,000 implementations in inspection lines and is utilized in various fields such as electrical, electronic, mechanical, and assembly. By replacing visual inspections with image processing, automatic appearance inspection that prevents the outflow of defects can be realized. 【Inspection Settings and Results】 Using the "Comparison with Master Image" function of EasyInspector, we conducted inspections for tape defects in two locations and foreign substances on the tape. While detection was possible, the inspection cycle took more than "1 sec per piece." - There is a shift for each image, which takes time for shift correction. - The images you provided this time have a high resolution of 40 million pixels. → It may be necessary to reduce it to around 300,000 pixels. Due to the time required for shift correction as mentioned above, we recommend using image inspection software with AI (deep learning) for verification in cases where shifts occur in operation, as shown in the sample images.

  • Visual Inspection Equipment

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[AI Image Inspection Case] Measurement of Cavity (Tooth Decay) Model Size

We will determine the presence and size of a cavity in one location using AI image inspection!

We received an inquiry about wanting to determine the size of caries (cavities) using a model that mimics external caries on the appearance of teeth. The processing of caries involves marking the position and size on the tooth using a gauge, then using a motor (grinding machine) to freehand grind and shape it. The inspection defines the center value of the height and width of the caries, with items exceeding the maximum value or below the minimum value being deemed unacceptable. 【Inspection Settings and Results】 By using the "Presence of Specified Color Inspection" function of EasyInspector, we were able to determine the presence and size of a caries hole in 0.11 seconds. The settings included a color judgment tolerance range set to "90," with the specified color being "black" and all RGB values set to 0. The light blue pixels "136" at the bottom of the image on the right represent the number of fluorescent pixels (caries detection pixels) within the blue frame on the left. 【Software Used】 Software Used: EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' color package can perform inspections for the "Presence of Specified Color."

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[AI Image Inspection Case] Reading of Digital 7-Segment Display

We will read the digital 7-segment display using AI image inspection!

The sensor manufacturer was considering automating the monitoring of digital 7-segment meter readings. 【Inspection Settings and Results】 By using the "Meter Reading" feature of EasyInspector, it was possible to read the red meter captured in monochrome. The readings for the other two colors were also completed without any issues in 0.14 seconds. While you were considering EasyMonitoring for the above readings, I believe it would be fine for periodic monitoring purposes. However, if you are looking to operate with triggers during inspections, it would be more suitable to build a system that combines EasyInspector with multiple industrial cameras. 【Software Used】 Software Used: EasyInspector (formerly EasyInspector) Current 'EasyInspector2' CP (Control Panel) package [Meter Display Reading] Inspections can be performed with 'EasyMonitoring2'.

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[AI Use Case] Automatically turning the 100V power supply ON/OFF

We will implement a system that alerts with a buzzer and performs automatic actions such as stopping the conveyor when foreign objects, assembly mistakes, defects, or incorrect items are detected!

In the mechanism for turning the 100V power ON/OFF created in 'Discovering Attached Insects and Stopping the Conveyor' (https://skylogiq.co.jp/DIY_HowTo/291), a large mechanical relay was used. By turning the contacts with a potential difference of 100V ON/OFF using the relay's electromagnetic coil, unexpectedly large electromagnetic noise was generated. Electromagnetic noise can cause communication failures and other issues in interfaces such as USB. This time, I used a solid-state relay (SSR) to create a power ON/OFF mechanism that minimizes electromagnetic noise. At the beginning of the video, a ring fluorescent light is connected to the 100V power, and the process is as follows: DeepSky makes an OK/NG judgment → OK/NG output to Intelligent I/O → the buzzer and solid-state relay connected to Intelligent I/O turn ON/OFF → the ring fluorescent light turns ON/OFF. If a conveyor belt is used instead of the ring fluorescent light, the conveyor will move when OK and stop (with the buzzer sounding) when NG, enabling automatic operation.

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[AI Image Inspection Case] Inspection of Connector Soldering

We will inspect the solder of the connector using AI image inspection!

We received a request for inspection of solder on connectors from an electronic components manufacturer. They contacted us through our website, and we agreed to send them samples. 【Inspection Setup and Results】 By using the "Presence of Specified Color Inspection" feature of EasyInspector, we were able to inspect the presence of solder in two locations. The left image shows an enlarged screen of the settings for framing the inspection area. The right image detects the shadow of the solder and indicates a pass with a blue frame. It is set to pass if the shadow is detected above a certain threshold. 【Software Used】 Software used: EasyInspector (formerly EasyInspector) The current 'EasyInspector2' color package can perform inspections for the "Presence of Specified Color."

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[AI Image Inspection Example] Defect Inspection of Assembled Parts

We will inspect missing screws, crankshaft pins, missing sheet metal, and harness routes using AI image inspection software!

We received samples from a manufacturer of plastic products. We conducted a simple verification to check for missing screws, crankshaft pins, missing sheet metal, and the harness route. As a result of the verification conducted with the samples we received, we were able to determine using the EasyInspector "Comparison with Master Image" function. Since the housing is transparent, we took the photos against a black background. The fluorescent light was illuminated from the side to avoid reflections. The system is designed to allow inspection of both the front and back surfaces by setting up two or more multi-cameras. 【Software and Equipment Used】 Software Used: EasyInspector710 (formerly EasyInspector) Field of View: Approximately 172 x 131 mm Minimum Size of Inspection Target: 5 mm Number of Inspection Points: 4 Camera Resolution: 2 million pixels Lens Focal Length: 12 mm Distance Between Lens and Product: Approximately 300 mm Lighting: Linear fluorescent light Distance Between Lighting and Inspection Item: Illuminated from the side of the workpiece 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] Dimensional Measurement of Plastic Extruded Products

We measure the dimensions of precision plastic extruded products such as automotive parts!

A housing material manufacturer is considering our inspection software for product management of precision plastic extrusions, such as automotive parts, and has made an inquiry. 【Inspection Settings and Results】 By using the "Dimension Angle Inspection" feature of EasyInspector, we were able to measure 22 points in 0.53 seconds. For a 5-megapixel camera (with a horizontal field of view of approximately 80mm): Since the horizontal resolution is 2592 pixels, the size of 1 pixel is "80÷2592=0.0308…mm." This results in a rough inspection with increments of about 0.0308mm, but as mentioned above, judgments were possible. For a 20-megapixel camera (with a horizontal field of view of approximately 80mm): Since the horizontal resolution is 5496 pixels, the size of 1 pixel is "80÷5496=0.0145…mm." This allows for detection with double the precision compared to the 5-megapixel camera with increments of about 0.0145mm, but even with 20 megapixels, the inspection remains rough.

  • Visual Inspection Equipment

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[AI Image Inspection Case] Inspection of the Printed Part of a Container

We will conduct a simple inspection of the printed parts of containers using AI image inspection software!

We will conduct a simple inspection of the printed part of the container. We received samples from a plastic processing manufacturer. In recent years, the decline in the working population and the aging population have become social issues. Amidst this, the need for automation in inspection and monitoring to maintain a safe and secure society is increasing daily. 【Inspection Settings and Results】 By using the "Comparison with Master Image" function of EasyInspector, it was possible to determine the pass/fail status of the printed parts in 0.32 seconds. The left image shows the master screen with alignment correction set in light blue and red frames (it is common to set this with a good product image), while the right image indicates that a defect was detected within the red frame. 【Software and Equipment Used】 Software Used: EasyInspector (formerly EasyInspector) Field of View: No recording Minimum Size of Inspection Target: 2mm Number of Inspection Points: 8 Camera Resolution: 300,000 pixels Lens Focal Length: 6mm Distance Between Lens and Product: Approximately 470mm Lighting: Fluorescent bar lighting Distance Between Lighting and Inspection Item: Illuminated from inside the workpiece The current 'EasyInspector2' color package can be used for inspection with the "Comparison with Master Image" feature.

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AI Image Inspection: Inspection of Shortcomings and Bubbles in Plastic Products

The AI image inspection software detects "chips" and "bubbles" in plastic products!

The plastic processing manufacturer has been a customer using our inspection software for some time. This simple verification is in response to their request to detect "chipping" and "bubbles" in plastic products. 【Inspection Settings and Results】 By using the "Scratch and Defect Inspection" feature of EasyInspector, we were able to inspect one location in 0.41 seconds. The images show the inspection results. The frame in the left image indicates an OK item, as no abnormalities such as chipping were detected, resulting in a "pass" judgment marked in blue. The right image shows a defective item, where the chipping was detected, leading to a "fail" judgment displayed in a red frame. 【Software and Equipment Used】 Software Used: EasyInspector (formerly EasyInspector) Field of View: Approximately 299 x 238 mm Minimum Size of Inspection Target: 10 mm Number of Inspection Points: 1 Camera Resolution: 1.3 Megapixels Lens Focal Length: 8 mm Distance Between Lens and Product: Approximately 360 mm Lighting: Bar Lighting Distance from Lighting to Inspection Item: Illuminated from 650 mm above Current inspection can be performed with the 'EasyInspector2' color package for [Scratch and Defect Detection].

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[AI Image Inspection Case] Inspection of the Angle of Liquid (Resin)

The angle for flowing liquid (resin) from the top will be determined by AI image inspection software!

We have been receiving inquiries from a manufacturer of electrical and communication equipment, as well as electronic machinery, regarding various inspection aspects. This time, there is a request to inspect the angle of a fluid flow from above. Our technical staff provides support via email, phone, and web meetings, and we test the samples you send us for free. Additionally, we have equipment available for customers to verify on their own. 【Inspection Settings and Results】 By using the "Dimensional Angle Inspection" feature of EasyInspector, we were able to make a judgment at one location in 0.09 seconds. Regarding the angle of the liquid (resin) images you sent, we confirmed that detection was possible, although there were differences in brightness and positional shifts in the images, making it impossible to read all with the same settings. It is necessary to create a shooting environment that can effectively detect edges against the background and to fix the camera directly from the side. When the background is relatively bright, as shown in the images, detection becomes easier.

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[AI Image Inspection Case] Monitoring Multiple Screens of Manufacturing Machinery

We will set up the settings according to the monitored object and conduct the inspection!

This is an inquiry regarding the monitoring of manufacturing machines from manufacturers of drive recorders and car navigation systems installed in automobiles. We have received six images for monitoring, and we are inquiring about the appropriate settings for each reading. Our company website offers a free trial of the inspection software. The suitability of the inspection software varies depending on the work, so please feel free to contact us if you have any questions. 【Inspection Settings and Results】 For three of the six images, we are using the "Specified Color Presence Inspection" function to detect the color when illuminated, and we determine pass or fail based on whether it is detected or not. For two images, we are using the "Meter Reading Function," but we believe there may be variations in the way light hits the upper and lower parts of the meter, so illuminating the lower part, which tends to be darker, with bar lighting or similar methods may reduce false detections. For one image, reading is possible with the image you provided. Some minor adjustment for misalignment is possible, but fixing the camera is essential.

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[AI Image Inspection Case] Reading Various Meters

Automating meter reading with AI image inspection software to improve operational efficiency!

This is an inquiry regarding meter reading inspections from the road management company. Meter verification has become a significant burden across various industries. The ability to easily implement a system that monitors remotely and only intervenes when an error occurs can greatly enhance operational efficiency. 【Inspection Settings and Results】 Based on the images you provided, we were able to make a determination using EasyInspector. The left image uses the "Meter Reading" function, while the right image shows a live image (top) and a detected image (bottom) using the "OCR Pro" function, both enlarged. The tact time is 0.05 seconds. The recording method can be saved in CSV and image formats. The current 'EasyInspector2' CP (Control Panel) package allows for meter display reading inspections with 'EasyMonitoring2'.

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[AI Image Inspection Case] LED Lighting Inspection

We will inspect whether the LED chips are good products using AI image inspection software!

This is an inquiry from a company that sells lighting fixtures. It is a simple verification to determine whether the LED chips, which are the source of the lighting, are of good quality (i.e., whether there are any defects). There is growing expectation for tools that promote automation and labor-saving in manufacturing lines by combining various inspection systems. We hope to be of assistance to our customers by applying our inspection software. 【Inspection Settings and Results】 The inspection item was positioned within the screen, and settings were made using the EasyInspector "Presence of Specified Color" inspection function. Additionally, the number of lit locations was set in "Counting Mode." The left image is an enlargement of the inspection results, where the green areas indicate the detected parts of the specified color, and the numbers represent the detected pixel count. The right image shows the imaging environment for this inspection.

  • Circuit Board Inspection Equipment

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[AI Image Inspection Case] Missed Inspection of Label Instructions

Inspection of 32 label inspection items covered by AI image inspection software!

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.

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[AI Image Inspection Case] Measurement of Heat Shrinked Transparent Film

We will measure the heat-shrinked transparent film using AI image inspection!

There was a request to measure the red frame area of the magic using heat-shrinkable transparent film. The manufacturer of chemical products and plastic processing for this simple verification is a repeat customer who has been inquiring for some time. 【Inspection Settings and Results】 In the image example (Figure 2), the lengths from each opposing frame to the frame are being measured. Since the number of frames can be increased up to 999, measuring arbitrary points vertically and horizontally and calculating the average value should improve accuracy compared to measuring only four points. The measurement values are calculated based on pixel counts, and by multiplying this by a coefficient that indicates how many millimeters one pixel represents, the actual dimensions can be converted.

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[AI Image Inspection Case] Foreign Objects in Colorless Transparent PP Sheets

We will conduct a simple inspection for foreign objects and insects on colorless transparent PP sheets!

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.

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[AI Image Inspection Case] Counting Cells of Parts

We will detect the count of cells for the parts in the image!

This is a verification request from a parts manufacturer. Our company has various industrial machinery and control equipment manufacturers as clients 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 have developed inspection software that is easy to integrate and sold as a one-time purchase, which we believe leads to repeat business. 【Inspection Settings and Results】 The cell count detection in the left image is the result of counting cells using EasyInspector (traditional rule-based method). It compares how many clusters of the same color can be detected within a fixed-size inspection frame. 【Software Used】 Software used: EasyInspector (formerly EasyInspector) The current 'EasyInspector2' color package can perform inspections based on the presence or absence of specified colors.

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[AI Image Inspection Case] Reading of Device Panel

Detecting the presence or absence of reading characters and lighting for the seven search items displayed on the panel installed in the device.

This is a request to conduct a simple verification of the reading from the panel located at the front of the device. We received an inquiry via email from a container manufacturer. They sent images to confirm the reading of seven search items displayed on the panel attached to the device, as well as the presence or absence of illumination. Reading such device panels can be considered a common case across various industries. Our inspection software can be of assistance in many different locations. 【Inspection Settings and Results】 By using the "OCR Pro" function of EasyInspector, we verified the reading of five displayed items. In the left image, each character was recognized individually, and it was read as "25." In the right image, the character spacing is narrow, making it difficult to recognize individual characters in the current display. There are various methods for determining illumination, but here we set it so that if the detection amount of gray is above the reference value, it is considered a pass; if it does not meet the reference value, it is considered a fail.

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[AI Image Inspection Case] Liquid State Inspection

We will detect the state of the liquid (whether the wastewater treatment is sufficient) using AI image inspection!

We received an inquiry from an industrial machinery manufacturer regarding wastewater treatment. We will inspect whether the treatment has been sufficiently completed. At SkyLogic, we research the latest technologies such as AI and IoT, transforming them into user-friendly products for our customers. For example, in the AI field, we offer DeepSky, which enables flexible recognition through deep learning, and in the IoT field, we have EasyMonitoring, which processes images from dozens of network cameras. By using the "Defect Inspection" feature of EasyInspector, we detect the processing status of the entire image at one location. When inspecting with EasyInspector, it is necessary to stabilize the imaging environment. Although we were able to detect it this time, we recommend using inspection software that employs AI (deep learning) for operational purposes. [Software Used] Software: EasyInspector310 (formerly EasyInspector) Current 'EasyInspector2' color package [Defect Detection] Inspections can be conducted with 'EasyMonitoring2'.

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[AI Image Inspection Case] Wood Dimension Measurement Verification

Instantly determine the dimensions of wood using AI image inspection!

A request for dimensional inspection has come from a wood processing machinery manufacturer. Recently, due to the impact of declining birth rates and an aging population in various fields, securing skilled workers has become a significant social issue. It seems that the opportunity has arrived to survive and grow businesses by entrusting inspections and judgments to image analysis instead of relying solely on human visual inspection. [Inspection Settings and Results] By using EasyInspector's "Dimensional Angle Inspection" feature, we were able to determine the dimensions at four locations in 0.72 seconds. We set up inspection frames to detect the edge portions when measuring the dimensions of each part. The background was made white to facilitate edge detection. The greater the contrast in brightness, the easier it is to detect edges. To prevent shadows, the lighting is positioned to illuminate from both sides. The left image shows the master image (with the inspection area outlined in pink and green), while the right image displays the detection of good products with a blue detection frame.

  • Visual Inspection Equipment

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