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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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Image Inspection Case Collection Image Inspection Case Collection
Counting

Counting and Measurement

We will introduce examples and products of image inspection for counting and measurement.

AI Count App "cazoeTell" (Lineup)

No more counting! Achieve fast and high-precision AI counting with a custom learning model tailored to your counting objects!

Easy AI counting with your smartphone or computer. This application displays counting results (quantity or number) simply by taking a photo of the items to be counted. 【Do you have these concerns?】 - Counting takes too much time or is prone to errors - I want to easily manage parts and tools By using actual images taken in real-world environments for training, it enables counting with a high-precision learning model that fits your needs 100%. Additionally, we also offer "wakeTell," which excels at counting by classification. 【Product Lineup】 ■ cazoeTell (quantity counting) - An application specialized for counting numbers or quantities ■ wakeTell (classification counting) - An application that can count by classification *For more details, please refer to the related links or feel free to contact us.

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AI Count App 'cazoeTell'

An easy AI counting application for smartphones and computers. Just take a photo of the subject to be counted, and the counting results will be displayed.

"CazoeTell" is an application that displays counting results simply by taking photos of the items to be counted. It enables counting with a highly accurate learning model that perfectly fits the application by using real images taken in actual field environments for training. Additionally, thanks to its unique high-resolution processing algorithm, it excels at counting very small and densely packed items. 【Features】 ■ Instantly counts target objects in images ■ Specialized for counting ■ Fast and high-precision AI counting ■ Usable on both PC and smartphone ■ Equipped with various functions *For more details, please download the PDF or feel free to contact us.

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AI classification count app 'wakeTell'

Achieve fast and high-precision AI counting with a custom learning model tailored to the counting object!

"wakeTell" is a classification counting app that categorizes and counts items. You can take a photo of the items you want to count (such as parts or tablets), and the app will classify the target objects from the captured image and display the counting results. Since it can count multiple types simultaneously, it is useful not only for simple counting but also for detecting quantities of various parts and inventory management. 【Features】 ■ High versatility ■ Annotation for each label ■ Easy pass/fail settings ■ Operates on iOS ■ Automatic log saving *For more details, please download the PDF or feel free to contact us.

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Image Count Counter "EasyNumbers"

【Efficiency of Counting Inspection】Know the quantity the moment the seal is placed! A super compact counting machine! It can instantly count sheet-like or rod-like products.

"EasyNumbers" is a product that can instantly count flat or rod-shaped items. Simply place the target object on the counting station, and it will count the number of items 10 to 20 times per second, providing pass/fail judgments and calculating counting results. Additionally, by counting in three different areas rather than just measuring along a line, it offers more accurate counting results. It contributes to the efficiency of counting inspections for flat and rod-shaped products such as seals, stickers, circuit boards, aluminum plates, gaskets, and placards. 【Features】 ■ Real-time counting allows measurement of the number of items as soon as they are placed without pressing a start button. ■ Accurate counting is possible by confirming the match of numbers through counting in three different areas. ■ Checks whether the counting results are consistently the same across all three areas (specified consecutive counts can be set from 1 to 100). ■ Utilizes area cameras to count in "surfaces" rather than "lines." ■ Includes a function to save history as a CSV file. * Numerous measurement case videos are available on the website. * For more details, please download the materials or contact us through our website.

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Box dimension and weight measurement system 'BoxMetrix'

Measurement of width, depth, height, and weight takes just 2 seconds! Significantly reduces the burden of measurement work.

"BoxMetrix" is a box dimension and weight measurement system that automates the measurement of box size and weight, outputting width, depth, height, and weight within 2 seconds of placing the box. The output includes receipt printing, recording images and CSV files, as well as data transmission to external sources. Fast, accurate, and easy. This system streamlines logistics with image processing technology. 【Features】 ■ Accurate image processing with a high-resolution camera ■ High repeatability ■ Printing dimensions and weight with a receipt printer (optional) ■ Saving image data ■ Saving to CSV files (Excel) ■ Integration with external devices and applications (optional) *For more details, please refer to the related links or feel free to contact us.

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[AI Image Inspection Case] Counting Round Bars

Counting the number of unpainted round bars using AI image inspection!

This is a request from a metal processing manufacturer to count the number of 7-meter long rods without positioning them. This time, the rods were unpainted, but they had a level of accuracy comparable to the previously tested white-painted rods. However, items with significantly different sizes or angles may be inaccurate due to lack of training. The left image shows the annotation, while the right image displays the detected work for counting as points. The strength of AI (deep learning) image inspection software over traditional rule-based image inspection software is its ability to perform inspections even with variations in brightness and imaging environments, such as outdoors. Inspection software can be beneficial across various industries and processes. At DeepSky, you can utilize advanced software that supports counting on conveyors. It is designed to allow counting through various operational methods. 【Software Used】 Deepsky

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[AI Image Inspection Case] Counting Plastic Parts

Count plastic parts with AI!

Counting parts is a common inquiry, and this time it involves a plastic parts manufacturer. We feel that the demand for inspection automation due to labor shortages is increasing year by year. We conducted inspections 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. Upon verifying the samples we received, we found that counting was possible. However, for samples without specified trays, when they were in close contact or overlapping, we were able to validate the inspection items by making adjustments. Regarding inspection cycle time, the EasyInspector we submitted previously has a shorter cycle. However, since counting items not placed in trays is difficult to determine, we decided to validate this time using DeepSky. The inspection cycle time with DeepSky depends on PC specifications, but it is approximately 0.3 seconds per image (1 inspection). With DeepSky, you can utilize higher-level software that supports counting on conveyors. It is designed to accommodate various types of counting.

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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.

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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] 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] 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] Measurement of Powder Quantity

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

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

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[AI Image Inspection Case] Measurement of Metal Hole Diameter

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

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

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[AI Image Inspection Case] Measurement of Nut Dimensions

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

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

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

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

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

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[AI Image Inspection Case] Judgment of Part Counting

We will determine the counting of small parts using AI image inspection software.

At a plastic parts manufacturer, counting small products for shipping has become a burden. There were issues with errors in weight inspection. We will conduct a simple verification of counting small parts. With DeepSky, you can use advanced software that supports counting on a conveyor. It is designed to count in various operational methods. 【Inspection Settings and Results】 We conducted inspections using software called DeepSky, which utilizes AI (Deep Learning). By training the software on the areas we want to detect, it adjusts its own setting parameters and learns to recognize them. The inspection cycle is shorter with EasyInspector. However, counting work that is not placed in trays is difficult to judge, so we decided to verify it with DeepSky this time. The left image shows the annotation, and the right image shows the detection frame. There were misjudgments with work that perfectly overlapped without any gaps, but otherwise, the judgments were good. 【Software Used】 Software used: DeepSky Counting can also be done with the application specialized for counting, 'cazoetell'.

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[AI Image Inspection Case] Measurement inspection of the angle and length of the chamfered part of a printed circuit board.

The angle and length of the chamfered part of the electronic circuit board were measured.

This is a test where we send you a camera and sample products. Our company offers a free evaluation service with the equipment you want to use and sample delivery. We are constantly considering configurations to solve your problems accurately and cost-effectively with simple setups. 【Inspection Settings and Results】 By using the "Dimension and Angle Inspection" function of EasyInspector, we measure the dimensions, angles, and lengths of the chamfered parts of the substrate at 10 inspection points in 0.37 seconds. The red circles in the photo indicate the detected intersection points, and the green lines represent the detected edge parts. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: 15 x 10mm Minimum Size of Inspection Target: 0.2mm Number of Inspection Points: 10 Camera Resolution: Microscope Lens Focal Length: Not used Distance between Lens and Product: Not recorded Lighting: Indoor light The current 'EasyInspector2' MS (MeaSure) package can perform inspections for [Position and Width Measurement] and [Angle Measurement].

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[AI Image Inspection Case] Counting the Number of Circuit Boards

We will measure the number of overlapping circuit boards using AI image inspection software!

When measuring the number of circuit boards handled by an electronic component manufacturer while they are stacked with interleaving paper, we aimed to reduce the time spent on manual work and eliminate measurement errors by incorporating image recognition. 【Inspection Setup and Results】 To measure 52 circuit boards, we read images using EI-Scan, improved the image accuracy, and utilized the "Luminance Change Inspection" feature of EasyInspector. First, we conducted verification with the interleaving paper pattern, and by neatly aligning the gray interleaving paper with the brown circuit boards, we were able to accurately count the number of boards. Next, we also verified the pattern without interleaving paper, and since shadows were created between each board, we were able to count them accurately as well. Furthermore, by scanning at a 30-degree angle, we were able to detect chips of about 0.2mm. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 70mm (thickness when stacking 52 circuit boards) Minimum Size of Inspection Target: Approximately 10mm Number of Inspection Points: 52 Images: Images read using EI-Scan For counting the number of boards, 'EasyNumbers' is recommended.

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[AI Image Inspection Case] Presence or Absence of Culture Chip

We will use AI image inspection software to count culture chips and determine the presence or absence of parts!

At the equipment cleaning company, counting the culture chips and confirming their presence or absence had become a hassle. You were considering image inspection to solve this issue and contacted our company. 【Inspection Setup and Results】 We conducted verification of pass/fail judgment based on the presence or absence of parts and counting using the samples you provided. By installing backlighting on the rear side, we were able to emphasize the target parts for imaging and detection. Since parts near the outer edge can appear differently at an angle, we used a 25mm lens to capture images from as high a position as possible (ensuring the entire tray is visible in the field of view). Using EasyInspector's "presence or absence of specified color" and "detection size judgment function," we counted the parts (rings) of the target size to determine pass/fail based on quantity.

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[AI Image Inspection Case] Seal Dimension Inspection

The AI image inspection software measures the dimensions of the labels attached to the parts.

This time, we received an inquiry from a contract analysis company. Work size: approximately 100mm × 100mm. Seal size: approximately 10mm (width). We created a model and conducted a simple verification. In cases where we receive inquiries, there are many instances where we cannot send sample products or sample images due to compliance and security concerns. [Inspection Settings and Results] Using EasyInpector's "Dimension Angle Inspection," we referred to the materials you provided and measured the tolerances with the seals applied by our company. This time, we measured only one location for each seal, but it is actually possible to measure four points simultaneously. We used a 5-megapixel camera (2592 × 1944) with a field of view of 180mm horizontally, capturing images of a 100mm × 100mm metal plate. We measured by applying two seals, each 10mm wide. There was some slight shaking during imaging, resulting in an error of 3 to 4 pixels, but detection with an accuracy of 0.5 to 0.7mm in tolerance is theoretically possible. Increasing the camera resolution will improve accuracy further.

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[AI Image Inspection Case] Dimension Assessment of Automotive Parts

We will inspect whether the dimensions of automotive parts are within tolerance.

We received sample images from an automotive parts manufacturer. We will report whether the dimensions are within tolerance through a free simple verification. In the inspection process, automation is being promoted to pursue stable inspection accuracy and cost reduction. 【Inspection Settings and Results】 By using EasyInspector's "Dimension Angle Inspection" function, we were able to confirm the tolerance of a dimension at one location (left settings screen). The inspection cycle time is 0.62 seconds. We are measuring the edges of the hole and flat surface in inspection frames 001 and 002 (right detection screen). The software can calculate the difference in the X coordinate values from 002 to 001, and it is possible to convert the dimensions to mm. In the free sample evaluation, we will first conduct a simple verification using the received samples or images and report the verification results. In the simple verification, we will evaluate whether the desired detection/judgment is possible with our in-house equipment. If detection or judgment is possible in the simple verification, we recommend conducting a test (feasibility verification) assuming actual operation, and evaluating processing time and judgment accuracy. If conducting feasibility verification, you can choose whether to continue with our company (for a fee) or to use our rental equipment for verification at your company.

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[AI Image Inspection Case] Measurement of Silicon Particle Size

The AI image inspection software measures the "diameter" of particles in high-silicon materials.

We will measure the "diameter" of the particles of high-silicon material based on the inquiry from the trading company. This will be verified using the images provided, and there is a request to inspect using images from an electron microscope. Our company accepts verification and support from technical staff on a daily basis. If you have any issues, questions, or uncertainties during operation, please feel free to contact us at any time. 【Inspection Settings and Results】 By using the "Dimension and Angle Inspection" function of EasyInspector, we were able to determine the diameter at one location in 0.11 seconds. Since this was a simple report on whether it could be done, actual operation will require positioning of the inspection items. We offer a "60-day trial service for inspection software" that can be downloaded from our website. Additionally, EasyInspector can perform inspections using JPG/PNG/BMP images. 【Software Used】 Software Used: EasyInspector310 Number of Inspection Points: 1 The current 'EasyInspector2' MS (MeaSure) package can perform inspections for [Position and Width Measurement] and [Angle Measurement].

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[AI Image Inspection Case] Counting Goldfish

Counting goldfish in a tank with AI image inspection software!

Social enterprises and social entrepreneurs have been active in various places recently. We received an inquiry from a manufacturer that operates CSR as a business. This time, the evaluation is about counting goldfish in a tank. [Inspection Settings and Results] The image on the left shows the annotation process, which involves enclosing the objects we want to find. The image on the right shows the detection frame in green counting the goldfish. I cropped the video you sent and tested it with software equipped with AI called DeepSky. As a result of the verification, it seems possible to detect the goldfish. However, detection was not possible when they were hidden behind the hose or when two fish overlapped.

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[AI Image Inspection Case] Counting Individually Wrapped Items with Transparent Film

We will conduct inspections of the individual packaging count of gold powder, the content volume, and whether the package film is overlapping.

It is common to see transparent film used in the packaging of supplements, medicines, and food in everyday life. 【Inspection Settings and Results】 (1) Inspection of the number of films → Determination possible I was able to determine up to 5 layers with high accuracy. If a camera is positioned to capture the entire view of 10 layers, it will also be possible to make a determination. (2) Inspection of content volume → Determination not possible In indoor lighting, the reflection from the film made it impossible to confirm the contents. I conducted the inspection by placing a black board next to the sample for photography, but due to overlapping and uneven distribution of the contents, I was unable to distinguish the volume. Adjustments and innovations in lighting and content distribution are necessary for inspection. (3) Inspection of film overlap → Determination errors present Detection was achieved with an accuracy of 80% (10 errors out of 50). Since there are countless patterns of overlap, I trained with 40 images this time, but I felt that increasing the number of training images would improve accuracy. In cases of complete overlap, it tends to be determined as a single layer.

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[AI Image Inspection Case] Counting of Parts

Counting parts with AI image inspection software!

We have received inquiries about counting numbers in various industries. This time, the inquiry comes from a manufacturer that produces tools and machine tools. They would like to determine if a set number of three types of parts is present, considering various orientations and overlaps. 【Inspection Settings and Results】 Using DeepSky's inspection capabilities, we have made it possible to make determinations even in cases of various "orientations," "overlaps," and "mixing of different items." However, there were instances of misjudgment depending on the degree of overlap, indicating that improvements and considerations are needed regarding the annotation methods for training the system. As an initial free evaluation, we will provide a simple report on whether inspection is possible. After that, we conduct detailed verification and proposals based on specific operational methods. Recently, we completed software for counting while operating a conveyor in conjunction with DeepSky inspection. It is evolving to be more user-friendly daily based on customer requests.

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[AI Image Inspection Case] Counting the Number of Glass Sheets

The AI image inspection software counts the number of stacked glass sheets.

Some production technology personnel believe that it is difficult to inspect work with high visibility, such as glass, due to halation. Our company also proposes inspection methods using cameras, lenses, and lighting that can be used for photography. 【Inspection Settings and Results】 By using the "Luminance Change Inspection" function of EasyInspector, we were able to verify the number of stacked glass sheets and make a judgment in 0.04 seconds. We detected the black areas and accurately counted the number of sheets. However, we could not make accurate judgments (detect differences in brightness) in areas where light was not clearly shining, making lighting an important factor in this case as well. 【Software Used】 Software Used: EasyInspector300 Number of Inspection Points: 1

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[AI Image Inspection Case] Measurement of CD

We perform precise measurements of CDs using AI image inspection software. Measurements of various objects are possible!

At the exhibition, we conducted sample verification of precise measurements of CDs at the request of a trading company that actually tried our inspection software. 【Inspection Settings and Results】 By using the "Dimension and Angle Inspection" feature of EasyInspector, measurements of approximately 62 to 73 microns were achieved. This time, a high-resolution camera with a wide field of view was used. The inspection time was about 0.8 seconds. By narrowing the field of view and reducing the resolution, the inspection time can be shortened. The green thin line in the left image indicates the measured part that was detected. In the right image, we have submitted the evaluation of repeatability accuracy for five repetitions at one location. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: Not recorded Minimum Size of Inspection Target: 0.01mm (10 micrometers) Number of Inspection Points: 2 Camera Resolution: 5 million pixels Lens Focal Length: Magnification x0.7-x4.5, Working Distance 52mm, Lens Holder Diameter φ50mm, Total Lens Length 190mm Distance Between Lens and Product: 300mm Lighting: Indoor light The current 'EasyInspector2' MS (MeaSure) package can perform inspections for [Position and Width Measurement] and [Angle Measurement].

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[AI Image Inspection Case] Measurement of the Number of Ceramic Sheets (Thin)

We will measure the number of thin ceramic sheets with a thickness of about 60μm! There are also examples of thick ceramic sheets.

When measuring the number of approximately 60μm thin ceramic sheets handled by an electronics manufacturer, there were disadvantages such as counting errors and the time taken for visual inspection. Therefore, we considered using our image processing software to enable non-contact counting of the sheets. 【Inspection Settings and Results】 Using the "Luminance Change Inspection" function of EasyInspector, we conducted verification by stacking 63 ceramic sheets of 60μm size. If we can clearly show the difference in brightness, inspection is possible. By uniformly illuminating from the front and aligning the product bundle evenly, we were able to count the number of sheets of 60μm size. However, there was a challenge in the stage of setting the inspection frame, as we had to avoid areas with dust and other contaminants. 【Software Used】 Software Used: EasyInspector310 Field of View: 9mm x 12mm Minimum Size of Inspection Target: Approximately 0.06mm (60μm) Number of Inspection Points: 63 Counting of Ceramic Sheets (Thick) https://skylogiq.co.jp/DIY_HowTo/856

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[AI Image Inspection Case] Measurement of the Number of Ceramic Sheets (Thick)

We will measure the number of thick ceramic sheets with a thickness of 200μm! There are also examples of thin ceramic sheets.

It is common to use heat-resistant ceramic sheets in situations where products are handled. They come in various thicknesses, ranging from about 60μm for thin sheets to about 200μm for thicker ones. This time, we solved the problem of measuring the number of 200μm ceramic sheets handled by an electronic component manufacturer, which was previously done manually one by one, by using our software that allows for non-contact measurement of the sheets. 【Inspection Settings and Results】 The verification was done using only photographs. By using EasyInspector's "Luminance Change Inspection," we were able to distinguish between light and dark, and we captured images with 23 thick sheets stacked. Shadows were created between the stacked sheets, making the contrast between light and dark clear, and due to the consistency of the bright and dark lines, we were able to conduct the inspection smoothly. 【Software Used】 Software Used: EasyInspector310 Field of View: 10mm x 13mm Minimum Size of Inspection Target: Approximately 0.2mm (200μm) Number of Inspection Points: 23 Measurement of the Number of Ceramic Sheets (Thin) https://skylogiq.co.jp/DIY_HowTo/860

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The AI segmentation feature has been added!

Achieve improved work efficiency, stable quality, and cost reduction with AI segmentation features!

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

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