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

[Inspection Technique] Regarding PC Selection When Connecting Multiple Cameras

We will introduce the selection of PCs when connecting multiple cameras using the AI features of EasyInspector2!

We sometimes receive inquiries from customers regarding the specifications of PCs when connecting multiple devices. This time, we would like to introduce the behavior when connecting multiple cameras using the AI function of EasyInspector2 (hereinafter referred to as EI2). We hope this will serve as a reference when selecting a PC. Additionally, we hope it will also provide guidance on the expected increase in inspection time when connecting multiple devices. We used a multi-controller (hereinafter referred to as EIMC) to start and inspect six EI2 units. ■PC ■Hardware Configuration ■Software Configuration ■Results *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: The Concept of Resolution in Deep Learning

I will introduce the perspective on resolution in deep learning!

We often receive requests to use high-resolution cameras to improve detection capability. In the case of rule-based image processing, using high-resolution images tends to improve resolution and enhance detection capability, but this is not always the case with deep learning. Below is a brief explanation of the perspective on resolution in deep learning, albeit in a rough manner. Let's consider images like (1) to (3) in Figure 1. (1) Total area 10×10, area of the gray rectangle 4 (2) Total area 20×20, area of the gray rectangle 16 (3) Total area 10×10, area of the gray rectangle 16 The area of the gray rectangle in (2) is four times larger than in (1), but when looking at the ratio of the gray rectangle to the total area, (1) is 4/100 and (2) is 16/400, both representing only 4%. In terms of "ease of detecting the gray rectangle" in deep learning, (1) and (2) are almost the same.

Company：スカイロジック
Price：Other

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Knowledge of Visual Inspection: Differences in Learning and Inspection Speed with GPU

We will examine the differences in learning and testing speed using GPUs!

This time, I would like to verify the "differences in learning and inspection speed using GPUs" as stated in the title. I will compare the differences in learning and inspection times with two types of GPUs and 16GB and 8GB of RAM. ■Conditions ■Verification Configuration ■Results *For more details, please see the related link (blog).

Company：スカイロジック
Price：Other

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Knowledge of visual inspection: AI requires appropriate teacher images and correct annotations.

I will introduce "teacher images" and "annotations"!

This is something that our sales engineers explain almost every time they talk to customers, but despite being a crucial factor that greatly influences AI performance, many of the discussions found online are too general to be practically useful. We thought that if we could provide a more practical, specific, and realistic explanation, it would surely be helpful to everyone, which is the background of this blog. ■ No matter how good the AI is, if it is taught incorrectly, it will produce incorrect results - About teacher images - About annotations - Convenient features in annotations - Blogs and videos that are helpful *For more details, please see the related links (blog).

Company：スカイロジック
Price：Other

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Monitoring in other industries such as agriculture too! 'EasyMonitoring2'

The AI automatic meter monitoring system monitors people, animals, various monitored objects, locations, and situations!

Until now, the focus has primarily been on the utilization of equipment within factories and manufacturing sites, but with AI capabilities, it has become possible to detect humans and animals, allowing for applications in various industries such as agriculture. This contributes to reducing time and effort through verification. ■ Management of control panels in greenhouses Automates visual patrol checks using cameras and image processing. ■ Measures against wildlife damage Ignores humans and vehicles, detecting only birds and animals. ▼ Image collection possible in areas without power In forested areas and farmland without power, it is possible to supply power using solar batteries and collect images via mobile phone lines. Real-time notifications can be sent regarding damage from wild boars and deer, as well as illegal dumping. 【Functionality and monitoring examples】 Analog meter reading Reading flow meters, float meters, etc. Digital display (7-segment) numerical reading Lamp status (such as in control panels) Dot matrix numerical reading Reading values and displays from centralized management PC monitors Reading vertical rotation power meters and difficult-to-read characters Monitoring absence of people and entry into restricted areas Detection of insect contamination and animal intrusion Condition of liquids

Company：スカイロジック
Price：Other

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【物流・建設分野にもAIを】デジタル化により作業量を大幅に削減

画像処理による箱のサイズ測定、建設現場におけるメーター監視、スマホとQRコードを使用した資材管理などを行います。

物流の分野では箱の重量やサイズを測定したり、搬入した資材の場所を記録・共有したりする場面があります。建設では資材が到着しているか、敷地のどの場所に何の資材があるかを共有したり、鉄筋やパイプの数を数えたりする必要があります。今後ニーズがさらに高まっていく物流や建設の分野で、少ない人員でより安全・効率的に作業を行うことは喫緊の課題となっています。 ▼ＡＩとＱＲコードで作業をデジタル化スカイロジックではスマホとＡＩで撮影された物体の個数、本数を一瞬で計数する「cazoeTell（カゾエテル）」、部品・物体を区別して計数する「wakeTell（ワケテル）」、スマホとQRコードで資材の場所を共有する「QRものドコ」、ネットワークカメラとQRコードで資材の場所を特定する「QR工程管理」、箱のＷＤＨサイズと重量を瞬時に計測する「BoxMetrix」、建設現場のメーターを監視する「EMCloud」など、物流、建設における効率化のための様々な製品を開発しています。 ※ 「QRコード」は株式会社デンソーウェーブの登録商標です。

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Verification of Print Defects

We will verify the printing defects using AI image inspection software!

We received an inquiry from a company that produces labels and POP materials, and we will verify the printing defects. First, we asked them to visit our company for an explanation of our inspection software, leading to a simplified verification process. Our company also accommodates web meetings for those who cannot visit in person. To prevent the work's backing from lifting and affecting the inspection, we pressed down on it with a transparent glass plate while taking photos. If we took photos with the backing still lifted, we detected many discrepancies compared to the master. We covered the "comma" in the print with black to eliminate it and used the "comparison with master" feature of EasyInspector when it reappeared for verification. As a result, we were able to detect the comma. Since the detected value was less than 10 pixels, which is very small, if we want to detect such defects, we need to be careful about the position of the sample when placing it (to minimize misalignment) and avoid detecting discrepancies due to changes in lighting.

Company：スカイロジック
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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'.

Company：スカイロジック
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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.

Company：スカイロジック
Price：Other

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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.

Company：スカイロジック
Price：Other

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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.

Company：スカイロジック
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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.

Company：スカイロジック
Price：Other

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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.

Company：スカイロジック
Price：Other

Circuit Board Inspection Equipment
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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'.

Company：スカイロジック
Price：Other

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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.

Company：スカイロジック
Price：Other

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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.

Company：スカイロジック
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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.

Company：スカイロジック
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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.

Company：スカイロジック
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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

Company：スカイロジック
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Image Processing Software
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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

Company：スカイロジック
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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.

Company：スカイロジック
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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.

Company：スカイロジック
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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.

Company：スカイロジック
Price：Other

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.

Company：スカイロジック
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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].

Company：スカイロジック
Price：Other

Image Processing Software
Visual inspection 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].

Company：スカイロジック
Price：Other

Image Processing Software
Visual inspection 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.

Company：スカイロジック
Price：Other

Image Processing Software
Visual inspection 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.

Company：スカイロジック
Price：Other

Image analysis software
Visual inspection 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

Company：スカイロジック
Price：Other

Image Processing Software
Visual inspection 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

Company：スカイロジック
Price：Other

Image Processing Software
Visual inspection software

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

Visual inspection software Manufacturer, Suppliers and Company Rankings

Visual inspection software Product ranking