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Visual inspection software(co) - List of Manufacturers, Suppliers, Companies and Products

Last Updated： Aggregation Period:Dec 17, 2025～Jan 13, 2026
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Visual inspection software Product List

151～165 item / All 179 items

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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] Verification of Print Defects

[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.

  • Visual Inspection Equipment

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[AI Image Inspection Case] Detection of Bent Connector Pins on Circuit Boards

[AI Image Inspection Case] Detection of Bent Connector Pins on Circuit Boards

The AI image inspection software detects bent pins of connectors on circuit boards and similar-looking counterfeit products (different items)!

We received an inquiry from an electronics manufacturer who is trying to create a simple inspection jig by linking a general-purpose camera and a general-purpose PC at the lowest possible cost. They want to detect issues such as bent pins on circuit board connectors and mistakes in ROM installation using a camera, and we have accepted their request for preliminary verification. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we detected 31 differences and were able to determine visually similar items (different products) in 3.85 seconds. However, there are conditions. We verified the deformation of the connector as "large." The bending of the pins was created by us, but the deviation in the tip position due to bending is likely to be significant (over 1mm). For the inspection of the connector's "lock" state, since the normal "lock" state was unknown, we initially reported the detection by comparing it to the open state. 【Software Used】 Software used: EasyInspector710 (formerly EasyInspector) The current 'EasyInspector2' color package can perform inspections using the "Comparison with Master Image" feature.

  • Image Processing Software

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[AI Image Inspection Case] Connector Insertion Inspection

[AI Image Inspection Case] Connector Insertion Inspection

The AI image inspection software detects missing connectors and makes pass/fail judgments!

This time, we received an inquiry from a lighting equipment manufacturer. As the demand for inspection automation due to labor shortages has been increasing year by year, there are various types of image inspection systems. Based on over 2,000 successful implementations, our all-in-one image inspection software, themed "easy operation for on-site users," is steadily increasing its implementation results. 【Inspection Settings and Results】 As a result of verification with the sample provided, it was possible to inspect for missing connectors. We created a simple fixture using blocks for the inspection. The field of view was set to accommodate the entire workpiece, and we used EasyInspectors for the "presence or absence of specified color inspection." This time, inspection frames were set at four locations. The left image shows the master image that was set. The light blue and red areas are for misalignment correction. The right image, "Detection Frame 002," shows a failure indication in red because the cable was not inserted. The blue frame indicates a passing detection frame.

  • Image Processing Software

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[AI Image Inspection Case] Inspection of Metal Etching

[AI Image Inspection Case] Inspection of Metal Etching

Detecting and judging small defects in metal etching with AI image inspection software!

This is an inquiry from an electronic component manufacturer primarily engaged in the production of printed circuit boards. They have requested a simple verification of metal etching processing. Inspection of fine defects can be conducted meticulously using enlarged images. Our company has contracts with agents in Malaysia and China, and sales are also possible. We have also received inquiries from Japanese manufacturers whose products are manufactured at overseas offices. 【Inspection Settings and Results】 Using EasyInspector's "Comparison with Master Image" function, we focused on the smallest defect among the 12 workpieces you sent. We divided the inspection frame into multiple sections and performed shift correction for each to minimize the detection of noise. However, the inspection time takes about 15 seconds. To shorten the inspection cycle, we suggest using multiple cameras or lowering the resolution. However, reducing the resolution may affect the detection capability (stability) of extremely small defects.

  • Image Processing Software

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[AI Image Inspection Case] Screw Presence Inspection

[AI Image Inspection Case] Screw Presence Inspection

The AI inspection software detects and evaluates two-colored screws in the image.

When inserting screws, whether they are positioned correctly has a significant impact on the completion of the product. I considered whether this confirmation could be done using image recognition software. [Inspection Settings and Inspection Results] There are six holes within the field of view, and among them, four holes have silver screws, while two holes have black screws, which is the criteria for passing. Therefore, for the areas with silver screws, we use EasyInspector's "Color Comparison Inspection" feature to compare with the "Master Image" to check whether there is a silver screw in the designated inspection frame. For the areas with black screws, we used the "Presence of Specified Color Inspection" in the "Color Comparison Inspection." The area without a screw appears as a clean circle in black (background), while when a screw is present, it takes on a triangular shape, allowing us to inspect how many pixels of black are in the inspection frame. By setting passing criteria for each inspection frame, we were able to recognize the four silver screws and the two black screws.

  • Image Processing Software

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[AI Image Inspection Case] Inspecting color changes when treated with chemical solutions.

[AI Image Inspection Case] Inspecting color changes when treated with chemical solutions.

We will inspect the color change when treated with a copper-colored disc using AI image inspection software!

In the electronic components manufacturing process, there is a step where a copper-colored disc with a diameter of 300mm has an area of about 3mm on its outer circumference treated with a chemical solution, resulting in a color change. During this process, there were abnormalities where the chemical solution was not being dispensed properly, leading to untreated areas, as well as cases where the width that should have been treated was not processed correctly. As a solution, it was considered that using image processing software would allow for more accurate and quicker inspections than visual checks. 【Inspection Settings and Results】 Using the "Presence of Specified Color Inspection" function of EasyInspector's "Color Comparison Inspection," we checked whether the chemical solution was being dispensed correctly, and using the "Dimension Angle Inspection" function, we verified whether the width that should have been treated was processed correctly. The field of view captured about 1/4 of the disc, and since the difference between the copper color of the disc and the changed black color of the chemical solution was clear, we were able to conduct accurate inspections.

  • Image Processing Software

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[AI Image Inspection Case] Text Inspection of Silk Screen Printing

[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.

  • Visual Inspection Equipment

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[AI Image Inspection Case] Inspection for Missed Paint Stripping

[AI Image Inspection Case] Inspection for Missed Paint Stripping

We will identify the painted areas and the stripped areas, and check for any oversight in removing the paint.

This is an inquiry from the manufacturer of air pumps. This time, we will check the possibility of missing paint removal. Our company, SkyLogic, has a track record of over 2,000 image inspections. We have published numerous inspection cases for metals, plastics, food, electronic substrates, pharmaceuticals, etc., so please check our case search tool to see if there are similar cases to the inspection you are considering. 【Inspection Settings and Results】 We conducted verification using the samples you sent. We were able to distinguish between the painted areas and the removed areas, so we believe that the inspection for missed removal is feasible. We also think it is possible to inspect the sides simultaneously and confirm the presence or absence of marks and labels. However, in both cases, it will involve inspecting multiple surfaces, and positional shifts may affect the inspection, so we believe it is necessary to fix the position of the workpiece using jigs or similar tools. (If the inspection is only for one surface, the shift correction function can probably be used.) The left image shows the imaging environment. The right image shows the settings.

  • Image Processing Software

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[AI Image Inspection Case] Defect Inspection on Plastic Product Trays

[AI Image Inspection Case] Defect Inspection on Plastic Product Trays

We will conduct a missing parts (counting) inspection of the components in the tray using AI image inspection software!

Due to the burden of counting small parts at a plastic parts manufacturer, we are requesting verification for automation of the counting process. This falls within the expertise of EasyInspector. A simple verification can be conducted by sending images. 【Inspection Settings and Results】 By using EasyInspector's "Presence of Specified Color Inspection" feature, we were able to inspect parts in 24 trays in 0.93 seconds. The left image shows the inspection settings. The right image indicates a misjudgment of the background color in the detection frame. Although you sent a 5-megapixel image, detection is possible even with a camera of about 1.3 megapixels for this type of inspection; reducing the pixel count will shorten the inspection time. If it is not necessary to identify (record) the locations of missing items, we can enclose the entire set (24 workpieces) within a single inspection frame. If the background of the inspected items is a transparent tray, placing a white paper underneath will enhance the contrast between the workpieces and the background, allowing for more stable and accurate detection in a shorter time. In the inspection settings, the report is configured with "Automatic/Default" for offset correction. If stable positioning can be achieved with jigs or similar tools, setting the offset correction to "None" will further reduce the cycle time.

  • Image Processing Software

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[AI Image Inspection Case] LED Lighting Inspection on Circuit Board

[AI Image Inspection Case] LED Lighting Inspection on Circuit Board

We will conduct inspections of LED lighting on the circuit board using AI image inspection software.

Samples were sent from the comprehensive processing manufacturer. A simple verification was requested to determine whether the brightness at "DC14.4V is OK" and "DC9.0V is NG" can be distinguished. It was requested that if even one LED is dim during the inspection of multiple units at once, it should be judged as NG. 【Inspection Settings and Results】 We conducted an inspection to verify the brightness difference by powering at DC14.4V and DC9.0V, and we are reporting the results. The inspection was possible using the "Presence/Absence Inspection of Specified Color" feature of EasyInspector. We adjusted the lens aperture and exposure time for imaging and conducted the inspection in an environment where differences were easy to discern. By making the entire circuit board the field of view and setting inspection frames for each LED (30 units), simultaneous inspection was possible, allowing us to output which LED was NG. This time, we set the entire circuit board as the field of view and verified by applying power to one LED. The left image shows the pink inspection frame. The right image displays the green pixels detecting the specified color, while the blue color indicates the inspection frame that passed.

  • Image Processing Software

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[AI Image Inspection Case] Matching of Printed Label Numbers

[AI Image Inspection Case] Matching of Printed Label Numbers

Our inspection software includes the basic functionality of saving inspection results in CSV and image formats.

The sports equipment manufacturer has been using our inspection software overseas for some time. This time, we have questions regarding the settings for "matching numbers on label printing," "smudge detection," and "checking for the presence of instruction manuals." We have agents in Malaysia and China, and we also sell inspection software for use in overseas offices. Our inspection software includes basic functions for saving inspection results in CSV and image formats, which are useful for product management across various industries. [Inspection Settings and Results] By using the "comparison with master image" function of EasyInspector, it was possible to inspect the codes and prints on 16 labels in 0.28 seconds. In image inspection, the imaging environment is the most important factor. Regarding the reasons for a dark screen during inspection, please check the following: whether there are fluorescent lights near the inspection target (this is the most common external influence); whether there are moving machines (if there are motors using electromagnetic forces, such as AC servo motors, noise may occur); and whether there is a 100V switch (which can generate electromagnetic noise).

  • Image Processing Software

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[AI Image Inspection Case] LED Lighting Determination

[AI Image Inspection Case] LED Lighting Determination

The AI image inspection software determines the pass or fail of 48 LED locations.

This is an inquiry from a metal processing manufacturer that has already implemented our solutions. They are engaged in various business developments and will conduct a simple verification of LED lighting inspection this time. In the free sample evaluation, we will first perform a simple verification using the samples or images provided and report the verification results. During the simple verification, we will evaluate whether the desired detection/judgment can be achieved using our internal equipment. If detection or judgment is possible in the simple verification, we recommend conducting a test (feasibility verification) assuming actual operation, where we will evaluate processing time and judgment accuracy. If feasibility verification is to be conducted, you can choose to continue with us (for a fee) or use our loaned equipment for verification at your company. 【Inspection Settings and Results】 By using the "Presence of Specified Color Inspection" function of EasyInspector, it was possible to determine the pass/fail of 48 LED locations. This time, capturing the light edges clearly was challenging, so we either reduced the exposure or narrowed the aperture to capture the particles as distinctly as possible. After that, we can only search for values that can be successfully detected while tightening the color judgment tolerance. We will summarize and report the setting values for reference, but please note that the environments differ between us and you, so having the same values does not guarantee the same results.

  • Image Processing Software

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[AI Image Inspection Case] Inspection of Steel Column Dimensions and C-Surface

[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.

  • Image Processing Software

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[AI Image Inspection Case] Inspection of Red Eye Defects in Soldering

[AI Image Inspection Case] Inspection of Red Eye Defects in Soldering

We will improve the variability in the judgment criteria for "good products" and "defective products" in visual inspections through automated inspections!

There have been numerous inquiries regarding substrate inspections, and a considerable number of customers are already utilizing our services. This inquiry comes from a harness manufacturer that is active in cutting-edge wiring technology. In visual inspections conducted by workers, there is often variability in the criteria for determining "good" and "defective" products among inspectors. The more ambiguous the judgment criteria are, the more inconsistent the inspection results tend to be. We propose stable and efficient production through image inspection. 【Inspection Settings and Results】 By using EasyInspector's "comparison with master images" feature, we were able to detect differences in the positions of defects and identify similar-looking items (different products) with red eyes. The inspection time was approximately 3 seconds. We believe that inspections are relatively easy if the lighting environment is stable. The rule-based traditional image inspection software used this time and the AI (deep learning) image inspection software each have their own strengths and weaknesses. Please contact us to determine which inspection method is more suitable.

  • Image Processing Software

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