Visual inspection software Product List and Ranking from 19 Manufacturers, Suppliers and Companies

[AI Use Case] Detecting two types of missing parts and stopping the conveyor.

Simultaneous inspection of forgotten nuts and screws! Guidance on the registration settings using the image processing software "DeepSky".

We will introduce a proposal to detect forgotten parts flowing on the conveyor, smooth out the subsequent processes, and prevent the shipment of defective products. By applying a system where a buzzer sounds and stops the conveyor when an NG (non-conforming) item is detected, we can simultaneously inspect two types of forgotten nuts and screws. We will guide you on how to register settings using the specific image processing software "DeepSky," which stops the conveyor when an NG is detected and resumes operation once the NG is removed. For more details, please check the related links below. 【Tools and Equipment】 ■ PC: Mouse Computer/G-Tune, Core i9, 16GB RAM, RTX 2070 SUPER ■ Image Processing Software: Sky Logic/DeepSky DS100K ■ IO Unit: Sky Logic/EI-ITIO-T01 ■ 1.3 Megapixel Camera: Daheng/MER-133-54u3c ■ 12mm Lens: M1214-MP2 ■ Camera Stand (Aluminum Frame) *For more details, please refer to the PDF document or feel free to contact us.

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Metal Etching and Circuit Pattern Printing

Detecting and classifying defects through object recognition! Utilized for applications such as fully automated systems using an XY stage.

We would like to introduce a case study on AI image inspection related to metal etching and circuit pattern printing. DeepSky can classify and detect defects. It can also provide the number and coordinates of each defect. In actual operations, DeepSky is used to perform continuous inspections as an aid to visual inspection, while also allowing for manual slow movement for visual checks or complete automation using an X-Y stage. 【Software and Equipment (Excerpt)】 ■ Software Used: DeepSky (Learning Version) ■ Field of View: 30×20 to 60×40 mm ■ Minimum Size of Inspection Target: 0.2 mm ■ Number of Inspection Points: Entire screen (assuming detection of approximately 1 to 100 defects) ■ Camera Resolution: 1.3 million pixels *For more details, please refer to the related links or feel free to contact us.

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Detecting Deformed and Curved Parts

After inspecting all images (OK/NG), we found a case where the curved part was judged as NG!

We would like to introduce a case of AI image inspection at a ground improvement manufacturer in the construction industry that has been using our inspection software EI310 (formerly EasyInspector) for some time. By using the "Dimension Angle Inspection" feature of EasyInspector, we were able to make judgments at five locations. Additionally, when inspecting all images (OK/NG), we were able to determine that the curved parts were classified as NG. By installing multiple inspection frames in a vertical orientation, we have set it up to identify which areas are curved (whether the width is outside the threshold). 【Software Used】 ■ EasyInspector310 (formerly EasyInspector) The current 'EasyInspector2' MeaSure package can perform inspections with [Position/Width Measurement] and [Angle Measurement]. *For more details, please refer to the related links or feel free to contact us.

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Judgment of Electronic Circuit Boards

By preparing the environment with cameras, lenses, lighting, and so on, inspections are possible in most cases!

We received an inquiry from an electronic component manufacturer and would like to introduce a case of a simple verification conducted on components mounted on a circuit board. By using the "Presence or Absence Inspection of Designated Color" feature of EasyInspector, we were able to determine four visually similar counterfeit items (different products) in 0.52 seconds. We conducted a presence or absence inspection of the components on the circuit board using the sample we received. As a result of the verification, determining based on the color of the component center was difficult due to the subtle difference from the background color, making stable inspection challenging; however, we were able to make determinations based on the presence or absence of solder. 【Software and Equipment Used (Excerpt)】 ■ Software Used: EasyInspector (formerly EasyInspector) ■ Field of View: 141×80mm ■ Minimum Size of Inspection Target: 2mm ■ Number of Inspection Points: 4 ■ Camera Resolution: 20 million pixels *For more details, please refer to the related links or feel free to contact us.

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Drainage Color Inspection

Register NG colors in advance! Here is an example of a simple verification of outdoor drainage treatment conditions.

We would like to introduce a case where we conducted a simple verification of outdoor drainage treatment at the request of a pharmaceutical manufacturer. Monitoring outdoors can be challenging due to factors such as the presence of power sources and changes in visibility depending on day or night. This time, the inspection was based on the images provided. By using the "Presence of Specified Color Inspection" feature of EasyInspector, we were able to make judgments in two inspection areas. We register the unacceptable colors in advance. If a registered unacceptable color is detected, it is set to fail. Our company offers a "Simple Evaluation Service" provided by technical staff free of charge. Additionally, we offer demo units for free rental, allowing you to experience the inspection software firsthand. 【Software Used】 ■EasyInspector (formerly EasyInspector) The current 'EasyInspector2' color package [Presence of Specified Color] can be inspected with 'EasyMonitoring2'. *For more details, please refer to the related links or feel free to contact us.

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Detection of scratches on parts

Inspection using DeepSky's inspection function! Here is an example of a simple verification of component damage.

We would like to introduce a case of a simple inspection of sample parts received from specialized manufacturers of automotive components. The inspection was conducted using DeepSky's inspection capabilities. We were able to detect visible scratches. However, there are some scratches that were not detected, so it seems necessary to improve the lighting conditions to make them visible. On our website, we are preparing a free trial of DeepSky, which is designed for image processing in factory automation from a practical perspective, and we look forward to your visit. [Software Used] ■DeepSky *For more details, please refer to the related links or feel free to contact us.

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Inspection of solution overflow and bubbles in chicken eggs

It is possible to conduct inspections at one location! Here are examples of prior detections.

We would like to introduce a case where the overflow and presence or absence of bubbles in a tank storing a chicken egg solution were detected in advance. By using the "Presence or Absence Inspection of Specified Color" feature of EasyInspector, it was possible to conduct an inspection at one location. When the liquid is not foaming, a pass indication is displayed with a blue frame as shown in the left image. In the right image, the detected pixels indicating foaming are shown in light blue, and the red frame indicates a failure. 【Software Used】 ■EasyInspector (formerly EasyInspector) The current 'EasyInspector2' color package can perform inspections with the "Presence or Absence of Specified Color." *For more details, please refer to the related links or feel free to contact us.

Company：スカイロジック
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[AI Image Inspection Case] Monitoring Valve Opening and Closing and 7-Segment Display

Simultaneously read the opening and closing of the valve and the 7-segment display!

This time, the simple verification was requested by a chemical manufacturer, who sent us photos to consider whether we could perform image inspection for the opening and closing of valves and the monitoring of a 7-segment display. Using the "Presence of Specified Color Inspection" feature of EasyInspector, we were able to inspect one location of the valve opening and closing in 0.38 seconds. The setting is such that if there is a specified number of black pixels within the frame, or if there are none, it is considered OK. In the right image, the handle detected in green is not visible in the right image because the valve is open, so it is displayed as defective with a red frame. For the other 7-segment display, we used the "Meter Reading" feature to read a 5-digit number in 0.35 seconds. Due to the low contrast between the numbers and the background, the reading accuracy was unstable, and we may need to adjust the position of the camera and the meter in the future. 【Software Used】 EasyInspector (formerly EasyInspector) Current version: 'EasyInspector2' CL (color) package [Presence of Specified Color] CP (Control Panel) package [Meter Display Reading] can be used for inspection.

Company：スカイロジック
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[AI Image Inspection Case] Monitoring of Underground Tank Meters

Automate the monitoring of underground tank meters! Image inspection will help improve productivity.

The industrial machinery manufacturer has requested to automate the monitoring of underground tank meters. Monitoring the meters, even on-site, requires manual checks in rain or snow, which is time-consuming and labor-intensive. Image inspection can help improve productivity in such cases. Since the reading of the underground tank meter could not be done with the usual meter reading function, a method based on the number of lit lamps was used, allowing for threshold determination as shown in the attached document. (For example, if 4 lamps are lit, it can be read as 40%, and if 6 lamps are lit, as 60%.) Thresholds can be set for each frame, allowing for configurations such as defining a certain percentage as an abnormal value. Using the "Meter Reading" function of EasyInspector, five inspection frames could be evaluated in 0.52 seconds. [Software Used] EasyInspector (formerly EasyInspector) The current 'EasyInspector2' CP (Control Panel) package [Meter Display Reading] can be inspected with 'EasyMonitoring2'.

Company：スカイロジック
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[AI Image Inspection Case] Dimension Inspection of Urethane

In the free evaluation service, we provide lighting, cameras, lenses, and other equipment to test whether the defects you want to see can be detected.

This is a request for a simple verification from a manufacturer of custom automatic machines that specializes in high precision and high-speed transport. By using the "Dimension Angle Inspection" feature of EasyInspector, it was possible to measure the dimensions of four sides using eight frames. In this setup, the dimensions are determined by the difference in values detected by the two frames. The left image shows the detection of the two frames. The right table indicates that Frame 004 is marked as "Fail" due to being outside the tolerance. Since we used a 5-megapixel camera this time, the width is 2592 pixels. With a field of view of approximately 700mm, the size of 1 pixel is calculated as "700mm ÷ 2592 pixels = 0.27". The sample product you sent was identifiable with the above precision, but ideally, we would like to conduct inspections with a tolerance of about 0.1 for 1 pixel. For example, with a 20-megapixel camera, the width would be 5400 pixels, making the size of 1 pixel 0.12, allowing for more accurate measurements. Therefore, verification with another sample is necessary. The current takt time was 0.44 seconds.

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Inspection of Urethane and Clips

We conducted a clip protrusion inspection and a dimension inspection of the urethane!

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

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Inspection of Sponge Deviation and Presence of Rubber

Detects sponge bias and the presence or absence of rubber!

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

Company：スカイロジック
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[AI Image Inspection Case] Pitch Inspection of Rubber Products

Rubber molded parts detect differences in the mounting position of clips!

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

Company：スカイロジック
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[AI Image Inspection Case] Rubber Product Gloss Inspection

Detect the gloss of rubber products in 8 locations and determine visually similar counterfeit products (defective)!

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

Company：スカイロジック
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[AI Image Inspection Case] Barcode Reading and Labeling

Detects whether the barcode reading and label display are correct!

We will conduct a simple verification to check if the barcode reading and label display are correct. Using the "Comparison with Master Image" feature of EasyInspector, we conducted the verification with the samples provided, but there were many false detections when the labels were affixed to the trays, making it difficult to perform the inspection properly. Since we only received good products, the images of defective products were created by our company. Barcode reading was possible even when the labels were affixed to the trays. 【Software Used】 EasyInspector (formerly EasyInspector) 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] Verification of Food Overflow

Detects food that is overflowing from the tray!

If the side dishes lined up in the supermarket overflow from their trays, there will be concerns about leakage and poor presentation, which may lead to unsold items. This time, we received a request for a simple verification regarding the overflow of food placed in trays from a food manufacturer. By using EasyInspector's "Presence of Designated Color" feature, we were able to inspect one area (the entire screen) in 0.39 seconds. The left image shows the designated color settings, where we set the color of the food that may overflow. The right image shows the mask settings (specifying non-detection pixels), where the specified area will no longer detect the designated color. 【Software and Equipment Used】 Software Used: EasyInspector (formerly EasyInspector) Field of View: Approximately 10 x 8 mm Minimum Size of Inspection Target: 5 mm Number of Inspection Points: 1 Camera Resolution: 1.3 Megapixels Lens Focal Length: 6 mm Distance from Lens to Product: Approximately 165 mm Lighting: Ring Lighting Distance from Lighting to Inspection Item: Approximately 120 mm The current 'EasyInspector2' color package can be used for inspection with the "Presence of Designated Color" feature.

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[AI Image Inspection Case] Reading Analog Meters

I will read the analog gauges in the factory!

There was an inquiry about wanting to remotely check the analog instruments in the factory. ■ Indoor Meters For indoor analog meters, I believe reading them is possible. However, if inspections are to be conducted at night, it is necessary to maintain consistent brightness between day and night. ■ Outdoor Meters Outdoor meters will likely require lighting. Additionally, even with lighting, there may still be variations in brightness and shadows between day and night. It seems necessary to install something to enclose the meter or a roof-like structure for the meter. Another reason why reading outdoors is difficult is due to power supply issues. By using EasyInspector's "Meter Reading" function, it was possible to read measurement values from one location. Regarding the difference in light intensity, the image on the right can be read, but the left image is misreading a different part as the needle, resulting in an incorrect judgment. Creating a stable imaging environment for reading is crucial.

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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] Text Inspection of Silk Screen Printing

We will conduct inspections for issues such as missing text in silk screen printing through image inspection!

You sent us photo samples of defective conditions that occasionally occur in the silk printing process. Is it possible to introduce inspections for issues like missing characters in silk printing through image inspection? This is a consultation regarding that. We will conduct a simple inspection for "missing" and "fading." By using the "comparison with master image" function of EasyInspector, we were able to conduct the inspection. We performed verification on the sample with the smallest visible defect among the samples we received. As a result, under limited conditions (*), we were able to detect the defect of missing characters. However, outside of those conditions, due to the nature and shape of the product, we mistakenly detected many areas that were not defective. *The limited conditions refer to when the inspection was conducted by focusing on one specific area of the printed part, so if we try to operate under the same conditions, the inspection range will likely be quite limited.

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Inspection Techniques: Features of DeepSky

Introducing the features of the AI image inspection software "Deepsky"!

DeepSky is an image inspection software that uses so-called AI (Deep Learning). By training it on the parts you want to detect, the software adjusts its own setting parameters and learns to recognize them. Here are three features that specifically differentiate it from traditional methods. *We will use the inspection of washer scratches as an example.* ▼ No need for positioning of the inspection target (Figure 1: No scratches, OK) (Figure 2: Scratches, NG) The fact that positioning is unnecessary means that inspections can be performed with the same settings even if the number of washers on the screen varies. This is effective for inspection targets that are difficult to secure. ▼ Can detect even with changes in brightness (Figure 3) It can detect scratches even when the lighting is this dim. This is effective in cases where it is difficult to suppress reflections from metal parts or when dealing with products that come in multiple colors.

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[Inspection Technique] DeepSky Function 1 – Area Judgment

Introducing one feature of the AI image inspection software "Deepsky" from a practical perspective!

Function: OK/NG Judgment by Area This is a function that judges not only "how many items were detected in the image" but also "where they were detected." Depending on the application, it may not be possible to make a correct judgment based solely on the total count on the screen. For example, in the case where there are two capacitors positioned alternately, as shown below. In this case, if the orientations of the capacitors are reversed, they should be deemed unacceptable; however, as for the total count, there would be one with the polarity mark on top and one with it on the bottom, resulting in both being considered acceptable. (Figure 1) In such cases, judgments are made by dividing into areas. As shown in the dotted box below, predetermined areas are set up, and the count judgment is performed for each area. (Figure 2) Within each area: "If one upward-facing capacitor is detected, it is OK." "If even one downward-facing capacitor is detected, it is NG." Settings like these are made. (Figure 3) This allows for correct NG judgment even for defective items that have the same count but are positioned alternately. (Figure 4)

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[Inspection Technique] DeepSky Feature 2 – Auto Annotation

Introducing the practical features of the AI image inspection software 'DeepSky' from a field perspective!

▼Feature: Auto Annotation This is a function that automatically executes annotations. It was previously a beta feature, but it has become an official feature starting from Ver. 2.2.0.0. Many of you may know that annotations are very important in object recognition. However, when there are many target objects in an image, the amount of work required for annotation increases, and as the workload increases, mistakes such as forgetting to annotate or making errors inevitably rise. If annotations are forgotten, DeepSky adjusts parameters to determine that "this is something that should not be found (even though it looks similar) for the same object," which can significantly lower the recognition rate of the object, leading to various issues. (See Figure 1: Annotation Forgetting) This is where the auto annotation feature comes into play. By using auto annotation, with just a click of a button, it automatically suggests annotations like "Based on the previous training data, you would want to annotate here, right?" (See Figures 2, 3, and 4)

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【Technical Support】DeepSky can assist you even in food production sites.

AI (deep learning) detects hair, foreign objects, and blemishes on fruits and vegetables mixed into bento boxes!

We have received several inquiries from various food production and processing sites. We are now able to handle cases that were difficult for EasyInspector (formerly EasyInspector), such as detecting hair and foreign objects mixed in bento boxes, which further demonstrates the wide range of capabilities of our AI (deep learning) functions. DeepSky allows us to teach it with a broader scope regarding what we want to detect, making it possible to identify foreign objects that do not conform to a specific shape. If there are items that are currently being checked by human eyes and you wonder, "Can this be inspected?" please feel free to contact us.

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[Inspection Technique] How to Improve DeepSky's Inspection Accuracy (1)

Here are some tips for settings to improve the accuracy of DeepSky!

During the verification and after the implementation, we received many valuable questions and reports from users regarding the settings of DeepSky, so we would like to introduce them. Q. How do you determine overfitting? Q. What does a convergence of 0.1 or lower mean? Does it become harder to converge as the number of labels increases? Q. What is the difference between continuing training from a certain point and resetting and retraining? *For more details, please refer to the related links (blog).

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[Inspection Technique] How to Improve DeepSky's Inspection Accuracy (2)

Here are some tips for settings to improve the accuracy of DeepSky! (Annotation Edition)

This time, I will introduce information regarding annotations. Annotations are one of the important settings related to detection accuracy, so I hope you find this useful. Q. Should labels be grouped together or divided into finer categories? When there are multiple detection targets (such as scratches, dirt, and dents), there are two patterns: registering all annotations under the same label "defect" or dividing the labels by shape as "scratches, dirt, dents." DeepSky tends to show improved detection results with fewer labels, so it is generally better to register them under the same label. However, if it is necessary to know which defect has been detected, it is essential to separate the labels by shape. In this case, if a scratch is mistakenly registered as dirt, it can lead to inconsistencies during training, resulting in poor learning outcomes. Therefore, annotations must be carried out carefully to avoid mistakes and oversights. (Figure 1)

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[Technical Support] cazoeTell has been upgraded!

The AI object counting app 'cazoeTell' counts various objects with high precision!

We have received a lot of inquiries from customers and have made improvements, resulting in an even more upgraded version compared to the initial release! We are now able to achieve higher precision counts for various objects. Before using cazoeTell for counting, it is necessary to create a learning model tailored to the objects you wish to count. 【Creating a Learning Model】 1) Capture teacher images 2) Perform annotation to create training data 3) Train the AI (create training data) ■Points to note when capturing teacher images ■About annotation ■Tips for annotation "If you're curious but unsure if you can do it," or "I'm having trouble with counting!" Customers interested in cazoeTell should first contact Sky Logic! We will create a learning model tailored to the objects you want to count. *For more details, please refer to the related links (blog).

Company：スカイロジック
Price：Other

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Knowledge of Visual Inspection: What is White Balance?

I will explain about white balance!

Currently, I am learning a lot about images, and I realize the importance of "taking good pictures." Cameras come equipped with various functions, and it seems that if you can set them correctly, you can capture good images. One of those settings is "white balance." As someone who was a novice in image processing, I had heard of it but wondered what it actually does. After looking into it, I found it interesting and potentially useful, so I would like to share it. *For more details, please see the related links.*

Company：スカイロジック
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【Technical Support】What is the OCR function of EasyInspector2?

I would like to introduce the AI OCR feature of EasyInspector2.

EasyInspector2 has three text recognition features. 1) OCR (Optical Character Recognition) 2) Machine Learning OCR 3) AI OCR ■Simple setup ■Can read characters that were previously difficult to recognize ■Finally *For more details, please see the related link (blog).

Company：スカイロジック
Price：Other

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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.

Company：スカイロジック
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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.

Company：スカイロジック
Price：Other

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Visual inspection software Product List and Ranking from 19 Manufacturers, Suppliers and Companies | IPROS GMS

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