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Visual inspection software Product List and Ranking from 21 Manufacturers, Suppliers and Companies

Last Updated： Aggregation Period:Nov 05, 2025～Dec 02, 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 05, 2025～Dec 02, 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. 三機 Creative Lab Aichi//robot
  5. 5 株式会社Roxy Aichi//IT/Telecommunications
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Visual inspection software Product ranking

Last Updated： Aggregation Period:Nov 05, 2025～Dec 02, 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. Appearance inspection software "MELSOFT VIXIO" 藤川伝導機
  4. 4 Appearance inspection software "MELSOFT VIXIO" 藤川伝導機
  5. 5 [AI Image Inspection Case] Detection of Surface Defects (Chatter Marks) on Metal スカイロジック

Visual inspection software Product List

16～30 item / All 470 items

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[AI Image Inspection Case] Simultaneous Inspection of Defects and Runs in Metal Coatings

[AI Image Inspection Case] Simultaneous Inspection of Defects and Runs in Metal Coatings

It is possible to set up to detect only those with high recognition scores or to display all with low scores!

We would like to introduce a case study of a simple verification of metal painted products for defects and liquid drips. Verification was conducted using DeepSky's inspection function, and detection was possible. As shown in the image, detection is taking place. The numbers represent the AI's confidence percentage, referred to as the number of recognition points. In DeepSky, you can set it to detect only those with a high number of recognition points as defects, or you can set it to display all items with a low number (anything that the AI perceives as somewhat similar to the defects it has learned). 【Software Used】 ■DeepSky *For more details, please refer to the related links or feel free to contact us.

  • Contract Inspection

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[AI Image Inspection Case] Presence or Absence of Indelible Stamp Characters

[AI Image Inspection Case] Presence or Absence of Indelible Stamp Characters

We will check if the stamp with indelible ink of letters and numbers is applied!

We received inquiries about our inspection software from manufacturers of plastic molded products, including injection molding, processing, assembly, and mold production. We conduct a simple verification to check whether a stamp with indelible ink of letters and numbers has been applied. By using the "Presence of Specified Color Inspection" feature of EasyInspector, we were able to inspect two locations in 0.4 seconds. The left image shows the inspection frame set to specify the inspection locations. The right image displays the confirmed numbers as pass (in blue) and the letters without printing as fail (in red). 【Software and Equipment Used】 Software Used: EasyInspector (formerly EasyInspector) Field of View: Approximately 223 x 177mm Minimum Size of Inspection Target: 10mm Number of Inspection Points: 1 Camera Resolution: 1.3 Megapixels Lens Focal Length: 16mm Distance Between Lens and Product: Approximately 540mm Lighting: Ring Lighting Distance from Lighting to Inspection Item: Illuminated from 100mm above Current 'EasyInspector2' color package can perform inspections for the "Presence of Specified Color."

  • Visual Inspection Equipment

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[AI Image Inspection Case] Inspection and Recording of Product Presence After Packaging Work

[AI Image Inspection Case] Inspection and Recording of Product Presence After Packaging Work

After packing the products in the warehouse, we will inspect them for any shortages and record the results in a CSV!

We have received inquiries about our inspection software from shipping companies as well. After packing products in the warehouse, they are considering incorporating an image recording process into the workflow to leave evidence that there are no missing products. Our inspection software is being utilized in various industries. By using the "Presence of Specified Color Inspection" feature of EasyInspector, we were able to determine the pass/fail status of the number of items divided into six areas in 0.39 seconds. If the condition is normal, the detection of the specified color above the reference value results in a "pass" judgment. The left image shows the settings screen, while the right image displays the inspection results table. As for the recording method, it is possible to save the results as images or record them in CSV format.

  • Visual Inspection Equipment

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[AI Image Inspection Case] Inspection of containers with cushioning materials for transportation.

[AI Image Inspection Case] Inspection of containers with cushioning materials for transportation.

Determine abnormalities in 12 locations of cushioning material corrugated cardboard!

We consulted with another company with a budget of 500,000 yen, but they said that a precise inspection could not be done in just a few seconds. We received a request from a distribution and logistics manufacturer who wants to implement a process where, without needing precision, they can make a preliminary judgment in a few seconds on whether there is a "possibility of being NG" for specific items, which would then be checked by a person. This is regarding the inspection of containers with cushioning materials for transportation. By using EasyInspector's "comparison with master images" function, we were able to determine abnormalities in 12 locations of the cushioning cardboard in 0.25 seconds. The left image successfully detected and judged a misinstallation of the Santec foam component. The right image incorrectly judged the defective part. To ensure accurate judgment, it is important to enhance the imaging environment by adding lighting to make the image brighter, clearly darkening the shadowed areas, and adjusting the camera position to be further away and as vertical as possible to minimize hidden parts due to the partition board.

  • Visual Inspection Equipment

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[AI Image Inspection Case] 7-Segment Display Reading

[AI Image Inspection Case] 7-Segment Display Reading

I will read the 7-segment display meter at the construction site!

Our inspection system is also in operation in the architecture and construction industry. We verified the reading of a 7-segment display meter. By using the "OCR" function of EasyInspector, we were able to determine 7 characters. The image itself was slightly blurred, and there were color inconsistencies in the image. When we extracted and processed a portion of the image that seemed easier to read, it was not processed very cleanly, but we were able to read it nonetheless. I believe that improving the imaging conditions would allow for clearer readings. [Software Used] EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' CP (Control Panel) package [Digital 7-segment display reading] can be inspected with 'EasyMonitoring2'.

  • Visual Inspection Equipment

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[AI Image Inspection Case] Presence or Absence of Manufacturing Date Printing on Cardboard

[AI Image Inspection Case] Presence or Absence of Manufacturing Date Printing on Cardboard

We will conduct a simple verification to see if the manufacturing date of the confectionery manufacturer is printed on the cardboard box!

The confectionery manufacturer in this inquiry is packaged in cardboard boxes, just like other industries. We will conduct a simple verification to check whether the manufacturing date is printed on the cardboard box. The EasyInspector software (traditional rule-based image inspection software) that you inquired about is primarily used by customers in the automotive parts and electronic circuit board sectors, making up half of our clientele. Additionally, it is utilized by a wide range of industries for tasks such as assembly verification and inspection of minor product dirt. We plan to use the EasyInspector feature called "Color Presence Inspection." This function allows us to specify an ink color and determine whether it falls within the specified range for a pass/fail judgment. In the left image, the specified color is detected as red, and a passing blue frame is displayed. In the right image, the specified color could not be detected, resulting in a failing red frame. It is also possible to conduct simultaneous inspections at two locations by using two cameras.

  • Visual Inspection Equipment

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[AI Image Inspection Case] Counting Round Bars

[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

  • Visual Inspection Equipment

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[AI Image Inspection Case] Reading of Indicator Lights and Meters

[AI Image Inspection Case] Reading of Indicator Lights and Meters

I will read the indicators and meters of the control equipment!

We received inquiries from an electronic equipment manufacturer regarding the display lights and meter readings of various control devices. We have decided to set up and report on six types of reading functions. The two images on the left and right utilize the "meter reading function." For the other three images, we determine pass or fail based on whether the color is detected when lit or not. However, I believe there is variability in how the lighting hits the upper and lower parts of the meter, so I think that illuminating the lower part, which tends to be darker, with bar lighting or similar would reduce misdetections. Regarding the other image we received, reading was possible with the image you provided. Additionally, some minor adjustment for misalignment is possible, but fixing the camera is essential.

  • Visual Inspection Equipment

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[AI Image Inspection Case] Tears in Shrink-Wrapped Products

[AI Image Inspection Case] Tears in Shrink-Wrapped Products

Verify the presence or absence of tears in shrink-wrapped products!

We reported the presence or absence of tears in shrink-wrapped products from food manufacturers through a free simple verification process. We would like to continue verifying issues such as deformation, stacking collapse, and flap adhesion, and propose various defect detection methods. In the simple verification, we were able to accurately identify approximately 80% of tears that are easily noticeable by the human eye, and about 50% of tears that are less noticeable, such as those on white products. This time, we conducted the verification with a limited number of samples, and I believe the accuracy was affected by the small amount of training data. The detection accuracy will improve with more data for training. [Software Used] Deepsky

  • Visual Inspection Equipment

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Knowledge of Visual Inspection: What is Visual Inspection: Points of Caution for Automation and Latest AI

Knowledge of Visual Inspection: What is Visual Inspection: Points of Caution for Automation and Latest AI

What is visual inspection? Points to consider for automation, the use of the latest AI, and trends overseas.

In the manufacturing industry, quality control and quality assurance are essential tasks for maintaining corporate trust. Among the various quality control tasks, "visual inspection" occupies a significant portion. By conducting visual inspections at each stage of the process, the yield of downstream processes can be improved, and the outflow of defects can be prevented in advance. However, this can also increase manufacturing costs and, in some cases, the visual inspection may become a bottleneck, leading to a decrease in production capacity. Here, we will discuss the points to consider for automating visual inspections, the differences between traditional image processing and the latest AI image processing, and trends in visual inspection overseas. ■ What is visual inspection? ■ Main inspection items of visual inspection ■ Automated visual inspection as an alternative to manual inspection ■ Advantages and disadvantages of manual inspection ■ Advantages and disadvantages of automated visual inspection ■ Steps for implementing automated visual inspection ■ Will AI (deep learning) visual inspection replace traditional rule-based image processing? ■ Situations where procedural image processing is used in visual inspection ■ Situations where AI is used in visual inspection ■ Points to consider when automating visual inspection ■ Trends in automated visual inspection overseas ■ Summary ■ Visual inspection systems that can be implemented at low cost *Please see the related links.

  • Visual Inspection Equipment

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Knowledge of visual inspection: Camera: High pixel or low pixel (1)

Knowledge of visual inspection: Camera: High pixel or low pixel (1)

It is necessary to consider whether it is truly impossible to make a judgment without using a high-resolution camera when selecting the camera's pixel count.

"High pixels mean high performance" — Indeed, as the pixel count increases, it becomes possible to capture details more clearly. However, it does not simply mean that larger is better, as high-pixel cameras also have drawbacks. For example, using a camera with unnecessarily high pixel counts can lead to longer image processing times. Therefore, it is necessary to consider whether "it is really impossible to make a judgment without using a high-pixel camera?" when selecting the pixel count of a camera. The example below shows the results of an experiment on how much difference in clarity there is when enlarging a part of a PC motherboard from 300,000 pixels to 14 million pixels. (Refer to the figure) In this way, high pixel performance is demonstrated when trying to see fine details within a wide field of view. However, as mentioned earlier, not only does image processing take longer, but as will be introduced in "High pixels or low pixels (2)," it is also necessary to increase the exposure time. The consideration of whether "it is really impossible to make a judgment without using a high-pixel camera?" is one of the important factors in selecting a camera.

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  • Visual Inspection Equipment

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Inspection Techniques: Dimming and Lens Aperture

Inspection Techniques: Dimming and Lens Aperture

About dimming and lens aperture.

We received a question from a customer using the image inspection software EasyInspector, asking, "Can inverter fluorescent lights not be dimmed?" We inform customers using EasyInspector that "if there are no issues with inspections using indoor fluorescent lights or inverter fluorescent lights, there is no need to use expensive lighting." Many LED lights have separate lighting and power units, and since the power unit can be dimmed with a knob, I thought such questions were natural. In fact, there are various methods for adjusting brightness: 1) Dimming 2) Aperture of the lens (in the case of industrial cameras) 3) Camera exposure time and gain settings In other words, in principle, if any of the above three can be adjusted, brightness can be controlled. So, what is the best method to use for adjustment? (Figure 1) This is a photograph of part of a bottle cap. The focus is set on the bottom of the cap. Both images have the same brightness, but you can see that the left image has the focus extending to the edge of the cap compared to the right. This is referred to as "having a deep depth of field."

  • Visual Inspection Equipment

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[Knowledge of Visual Inspection] A discussion about what AI is doing, I wonder.

[Knowledge of Visual Inspection] A discussion about what AI is doing, I wonder.

If you have something you want to find, please feel free to contact Sky Logic!

When talking with customers, I sometimes feel that they believe AI (deep learning) automatically determines what is OK or NG. This is a subtle nuance, and it's not something that needs to be corrected in the course of actual conversation, but today I want to clear up that confusion by writing this article. Now, regarding the confusion mentioned above, the actual difference is that it is humans who decide what is considered OK and what is NG in the software. This leads to the question, "So what does AI do then...?" To put it simply, what our AI does is "find what it has been taught," and fundamentally, that’s all there is to it. This function is generally referred to as "object detection." In "object detection," it literally detects "objects" within an image.

  • Visual Inspection Equipment

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Inspection technique: Counting the number of products moving on the conveyor while inspecting them.

Inspection technique: Counting the number of products moving on the conveyor while inspecting them.

Introducing a system created with DeepSky and external software that inspects products moving on a conveyor while counting them!

DeepSky has the capability to communicate the coordinates of detected objects to a higher-level system via TCP/IP, enabling various applications by tracking the coordinates of objects within that system. Here, we introduce software that inspects objects flowing on a conveyor and counts them when they cross the center of the camera. The diagram below (Figure 2) illustrates the configuration of the conveyor, camera, and software. The camera's images are processed by DeepSky to detect the type and coordinates of the objects, and this information is passed to the upper counting software. The counting software tracks the objects and increments the count when they cross the center of the image. This is an image of products moving on a belt conveyor. The upper camera captures images while checking for defective items and counting the products. It can also interact with PLCs to reduce speed or trigger a buzzer when approaching a specified count. The counting software tracks the coordinates of the objects to count them. In this way, DeepSky can work in conjunction with higher-level software, allowing for various uses. Custom software, like the counting software, can also be developed by our company.

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  • Visual Inspection Equipment

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【Technical Support】Differences between cazoeTell and wakeTell

【Technical Support】Differences between cazoeTell and wakeTell

I will explain the differences between "cazoeTell" and "wakeTell (formerly known as cazoeTell2)."

The name "cazoeTell2" has been changed to "wakeTell." The reason for the renaming is that the name "2" often leads customers to mistakenly think it is a superior version of cazoeTell. cazoeTell is specialized in counting a single item and has high counting performance. wakeTell can classify and count multiple items, but its counting performance is lower than that of cazoeTell. ■ Comparison Table (Please refer to the related link (blog)) ■ Comparison of Counting Nuts and Washers Both cazoeTell and wakeTell can count a total of "30" items without any issues. However, cazoeTell only provides the result that there are "30" items without specifying how many of each item there are. On the other hand, wakeTell recognizes and displays the result as "15" nuts and "15" washers. Therefore, wakeTell can also be used for purposes such as forgetting to return tools.

  • Visual Inspection Equipment

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