We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Visual inspection software.
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Visual inspection software Product List and Ranking from 22 Manufacturers, Suppliers and Companies

Last Updated: Aggregation Period:Nov 19, 2025~Dec 16, 2025
This ranking is based on the number of page views on our site.

Visual inspection software Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Nov 19, 2025~Dec 16, 2025
This ranking is based on the number of page views on our site.

  1. スカイロジック Shizuoka//software
  2. エーディーディー Kyoto//software
  3. 藤川伝導機 Tokyo//Industrial Machinery
  4. 4 三機 Creative Lab Aichi//robot
  5. 5 株式会社Roxy Aichi//IT/Telecommunications

Visual inspection software Product ranking

Last Updated: Aggregation Period:Nov 19, 2025~Dec 16, 2025
This ranking is based on the number of page views on our site.

  1. AI General Purpose Appearance Inspection Software 'EasyInspector2' スカイロジック
  2. AI visual inspection software "DeepSky" スカイロジック
  3. [AI Image Inspection Case] Reading Text on Nameplates スカイロジック
  4. 4 Appearance inspection software "MELSOFT VIXIO" 藤川伝導機
  5. 5 [AI Image Inspection Case] Tears in Shrink-Wrapped Products スカイロジック

Visual inspection software Product List

271~285 item / All 471 items

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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).

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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.*

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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).

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

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

We will conduct a simple inspection of foreign substances and insects on a colorless transparent PP sheet measuring 650×800. Before the inquiry, visual inspections were performed by workers stacking the sheets, but there were concerns about the possibility of foreign substances and insects being mixed in, so we received a request to prevent this. 【Inspection Setup and Results】 We affixed 10 defect seals measuring 0.3mm square to the good sample sheets we received and verified whether all 10 black dots could be detected. By using the "Scratch and Defect Inspection" feature of EasyInspector, we were able to inspect the entire area in 1.84 seconds. The left image is a live magnified view, and the right image is a magnified view of the inspection results. The non-compliant areas are displayed in red, indicating a perimeter detection of 11 pixels. 【Software and Equipment Used】 Software Used: EasyInspector (formerly EasyInspector) Field of View: Approximately 800 x 500mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 1 Camera Resolution: 20 million pixels Lens Focal Length: 16mm Distance Between Lens and Product: Approximately 980mm Lighting: Indoor fluorescent lights The current 'EasyInspector2' color package can be used for [Scratch and Defect Detection] inspections.

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

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

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

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[AI Image Inspection Example] Defect Inspection of Assembled Parts

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

We received samples from a manufacturer of plastic products. We conducted a simple verification to check for missing screws, crankshaft pins, missing sheet metal, and the harness route. As a result of the verification conducted with the samples we received, we were able to determine using the EasyInspector "Comparison with Master Image" function. Since the housing is transparent, we took the photos against a black background. The fluorescent light was illuminated from the side to avoid reflections. The system is designed to allow inspection of both the front and back surfaces by setting up two or more multi-cameras. 【Software and Equipment Used】 Software Used: EasyInspector710 (formerly EasyInspector) Field of View: Approximately 172 x 131 mm Minimum Size of Inspection Target: 5 mm Number of Inspection Points: 4 Camera Resolution: 2 million pixels Lens Focal Length: 12 mm Distance Between Lens and Product: Approximately 300 mm Lighting: Linear fluorescent light Distance Between Lighting and Inspection Item: Illuminated from the side of the workpiece The current 'EasyInspector2' color package can be used for inspection with the "Comparison with Master Image" feature.

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[AI Image Inspection Case] Inspection of Connector Soldering

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

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

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

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

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

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[AI 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] Metal Inspection with Oil Adhesion

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

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

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[AI Image Inspection Case] Label Reading and Pin Wiring

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

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

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

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

We received a request to inspect foreign substances, fine "black spots" and "white spots" during the film processing stage. Sample images were received, and a preliminary verification was conducted. There is a term called "Japanese quality." It represents the quality that Japanese manufacturing takes pride in, and this is supported by each process in the manufacturing site. The inspection process is the last line of defense directly linked to product quality, and with the remarkable advancement of technology, its importance is expected to increase even further in the future. [Inspection Settings and Results] By using EasyInspector's "Defect Detection" feature, we were able to inspect two areas. The pink circle on the left is the master image that sets the inspection range. The image on the right displays the inspection results, indicating a failure due to detected defects in a red frame. The process involves inviting you to our company to view a demonstration of the inspection results, after which we lend the demo unit to the end users for them to experience it, allowing them to try out the settings and feel before requesting a purchase.

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

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

Even manufacturers of high-precision resin-molded parts, such as precision components, are considering our inspection software. In preliminary simple verifications before understanding the operational situation and requirements, we may report on both conventional rule-based inspection software and AI (deep learning) software to determine which better meets their needs. 【Inspection Settings and Results】 In the enlarged image of the detection by EasyInspector on the left, the field of view was set to accommodate the workpiece, and when inspecting defective samples, it was possible to detect black spots and dirt. However, if there are irregularities in shape or shadows of contours within the inspection area, there is a possibility of misdetection. Conventional software is more susceptible to positional deviations. The image on the right shows the case using DeepSky. Through deep learning, it learns defects and detects only the defective areas from the image. Due to its nature, if properly trained, it can detect the intended defective areas even in the presence of variations caused by pad adhesion. 【Software Used】 Software used: EasyInspector, DeepSky *The current EasyInspector2 also includes AI functionality.

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