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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

136～150 item / All 179 items

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[AI Image Inspection Case] Misalignment of Machine Nameplate Printing and Printing Errors

[AI Image Inspection Case] Misalignment of Machine Nameplate Printing and Printing Errors

We are conducting a simple verification of printing misalignment, printing errors, and frame interruptions on the machine's nameplate.

We have received a request for a system that can perform character verification (comparison inspection) of machine nameplates. This is from a trading company dealing with electronic measuring instruments, testing machines, and industrial equipment. [Inspection Settings and Results] As a result of verification conducted with the sample we received, we were able to make a judgment in 0.22 seconds using the 'Comparison with Master Image' feature of EasyInspector. The red dots and numbers in the image display the number of pixels around the detected areas. Since we can set parameters suitable for each case, such as printing errors or overall misalignment, it is possible to prevent excessive detection or under-detection. [Software and Equipment Used] Software used: EasyInspector710 (formerly EasyInspector) Field of view: Approximately 246 x 205 mm Minimum size of inspection target: 2 mm Number of inspection points: 8 Camera resolution: 5 million pixels Lens focal length: 8 mm Distance between lens and product: Approximately 310 mm Lighting: Two linear fluorescent lamps Distance between lighting and inspection item: About 100 mm diagonally above the workpiece Current 'EasyInspector2' color package can perform inspections with 'Comparison with Master Image'.

  • Image Processing Software

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[AI Image Inspection Case] Misalignment of Product Labels and Printing Errors

[AI Image Inspection Case] Misalignment of Product Labels and Printing Errors

Detects defects such as misalignment or printing errors on labels attached to products!

The manufacturer that produces electronic measuring instruments has been experiencing issues with defective label displays on their products, such as "overall misalignment," "printing errors (numeric parts)," and "interrupted borders." Therefore, it was decided to send samples for a simple verification. 【Inspection Settings and Results】 We have reported the verification results of the samples we received. It was possible to detect "overall misalignment," "printing errors (numeric parts)," and "interrupted borders" on the labels and determine them as failures. All three types of inspection items can be checked at once. This time, the inspection frame is set only for the areas with defects. In reality, it is not known where the defects will occur, so "printing errors" and "interrupted borders" need to be installed in all areas that should be inspected.

  • Image Processing Software

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[AI Image Inspection Case] Inspecting Different Types of Electronic Circuit Boards

[AI Image Inspection Case] Inspecting Different Types of Electronic Circuit Boards

Detect the presence or differences of 17 connector ports and determine similar-looking imitations (different products)!

This is an inquiry about the implementation of circuit boards. Inspections related to circuit boards can be said to be the most common inquiries we receive. Our inspection software is already being used in various locations for image inspections of circuit boards. We have received samples shipped from an electronic component manufacturer. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to detect the presence or absence of 17 connector insertion points and differences, and we could determine visually similar items (different products) in 0.24 seconds. The areas indicated by the blue circles were detected due to color differences in the components. The areas indicated by the yellow arrows represent false detections that could not be completely eliminated through settings, but they are clearly smaller than the amount detected due to color differences, so they do not affect the inspection.

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[AI Image Inspection Case] Inspection of Product Labels and Nameplates

[AI Image Inspection Case] Inspection of Product Labels and Nameplates

We will conduct inspections to detect abnormalities in label nameplates using AI image inspection software!

The image inspection software "EasyInspector" allows for various inspections. Customers from the automotive parts and electronic circuit board sectors make up half of our clientele, and we serve a wide range of industries, including assembly verification of equipment and inspection of minute dirt on products. 【Inspection Settings and Results】 Based on the verification conducted with the samples we received, it was possible to detect abnormalities by using EasyInspector's "Comparison with Master Image" feature and "BAR/QR/OCR" function, while ensuring that the nameplate was not warped and by setting some masks. Our company is located in Hamamatsu City, Shizuoka Prefecture, where the manufacturing industry, including automotive parts, is thriving. We have a track record of providing support for over 2,000 cases and have developed inspection software that is easy to integrate and sold as a one-time purchase.

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[AI Image Inspection Case] Presence or Absence of Cushioning Sponge

[AI Image Inspection Case] Presence or Absence of Cushioning Sponge

We will check for the presence of cushioning sponge and plastic parts!

We will inspect the cushioning foam attached to the Styrofoam used for packaging the product. This inquiry comes from a manufacturer of woodworking and plastic processing machinery. They consulted us regarding the inspection of the presence or absence of gray and black cushioning foam attached to the front and back surfaces, stating that positional accuracy is not currently necessary. They would like to determine whether the foam is partially present or absent and whether it is applied overall. 【Inspection Setup and Results】 We conducted the inspection of the presence or absence of the cushioning foam using the sample images you provided. By using EasyInspector's "Presence of Specified Color Inspection," we were able to determine the presence of the cushioning foam. Additionally, we could also determine the presence of plastic parts using the same function. Since you provided images of the parts installed (front and back), we created test images in a paint software showing a state where some parts are missing (NG state) for verification. The left image shows the inspection frame, and the right image shows the detection frame.

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[AI Image Inspection Case] Short Inspection of Plastic Molded Products

[AI Image Inspection Case] Short Inspection of Plastic Molded Products

Detect subtle shorts in plastic molded products with AI image inspection software!

The samples you sent this time included a clear significant short and a subtle short that is not easily noticeable at first glance. It was confirmed that even minor shorts exhibited surface roughness associated with the short. With the inspection using EasyInspector, it would be easier to report if you could send us a "master image (good product)" and a "defective product that seems the most difficult to detect." 【Inspection Settings and Results】 Using EasyInspector's "color comparison inspection - comparison with master image" inspection function, we were able to conduct the inspection in 0.45 seconds. Even subtle shorts that were close in shape to the master image were detected for surface roughness (reflected white) and judged as unacceptable. The arrow markings in the photo are also white, but this time they were excluded from detection due to the non-detection pixel settings.

  • Image Processing Software

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[AI Image Inspection Case] Inspection of burrs, chips, and presence of holes in die casting

[AI Image Inspection Case] Inspection of burrs, chips, and presence of holes in die casting

We will inspect defects in die-cast products using AI image inspection software!

This is an inquiry regarding the inspection of die-cast products during conveyor transport, with specific parameters: hole diameter tolerance of ±0.05, overall tolerance of ±0.4, inspection cycle time of under 10 seconds, and a minimum conveyor speed of 1,000 mm/min. The inspection focused on the presence or absence of burrs, chips, and holes. Die-cast products have been a frequently asked topic at our company recently, and there were many inquiries even as far back as 2017. At that time, projects that could now be easily and accurately inspected using AI-based inspection software DeepSky were still being inspected with the conventional inspection software EasyInspector. [Inspection Settings and Results] By using the "Comparison with Master Image" function of EasyInspector, we proposed setting inspection frames at two locations within the camera's field of view, utilizing multiple cameras for inspection. The cycle time for a single capture and inspection was approximately 0.54 seconds.

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[AI Image Inspection Case] Measurement of the Width of the Blade at the Center of the Drill

[AI Image Inspection Case] Measurement of the Width of the Blade at the Center of the Drill

We will conduct an inspection of the tip of the drill blade using AI image inspection software.

We received samples at the exhibition and conducted inspection and verification. You requested an inspection of the tip of the drill bit. Using our inspection software, we can measure fine and critical areas and provide more detailed information at the time of shipment. 【Inspection Settings and Results】 By using the "Dimension Angle Inspection" feature of EasyInspector, we were able to detect the tip of the drill bit in 0.7 seconds. By setting the "Dimension Conversion Value Setting," the actual dimensions will be displayed. If the goal is merely to determine the difference between good and defective products, it may be possible to conduct inspections using the "Comparison with Master Image" inspection.

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[AI Image Inspection Case] Assembly Inspection of Molded Products

[AI Image Inspection Case] Assembly Inspection of Molded Products

It detects the presence or absence of parts at 14 locations of the molded product and any issues with the assembly positions.

This is a request for inspection regarding product assembly from a mold manufacturer. Assembly errors are a challenge in various manufacturing environments. This time, we will look for defects in the assembly at 11 locations on the front and 3 locations on the back. The image inspection software will support stable good product shipments. 【Inspection Settings and Results】 By using EasyInspector's "Comparison with Master Image and Inspection of Specified Color Presence" function, we were able to detect the presence of 14 parts and any misalignment in assembly positions, determining visually similar look-alike products (different items) in 0.76 seconds for the front and 0.29 seconds for the back. We proposed a reduction in inspection takt time by fixing the product in a jig and installing camera lenses and lighting from above and below according to the requirements.

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[AI Image Inspection Case] Label Position and Presence of Parts

[AI Image Inspection Case] Label Position and Presence of Parts

We will inspect the position of the label attached to the product, the text written on it, the confirmation of the type of the implementation part, and the presence of screws all at once!

We received an inquiry about the versatility of our software "EasyInspector" as you want to increase productivity. In the captured images of a single inspection surface, there were 14 judgment items. 【Inspection Settings and Results】 By using the "Color Comparison Inspection / Comparison with Master Image" function of EasyInspector, we were able to set inspections for all items and make judgments in less than 1.29 seconds. For frame number 001, it was set to ensure that the overall image does not rotate when there is a misalignment in the rotation of the workpiece. For frame numbers 002, 003, and 004, we checked whether the text is displayed correctly. For frame numbers 005 to 010, we inspected whether the labels are correctly affixed and checked for positional deviations. For frame numbers 011, 013, and 015, we set the inspection for the type and position of the components. For frame numbers 012 and 014, we set the inspection for the presence or absence of screws. Currently, inspections can be performed with the 'EasyInspector2' color package using the comparison with the master image.

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[AI Image Inspection Case] Implementation Inspection of Automotive Interior Parts

[AI Image Inspection Case] Implementation Inspection of Automotive Interior Parts

We will conduct implementation inspections of automotive interior parts using AI image inspection software!

Automotive parts and other resin-molded components may have variations in the presence or absence of holes and their positions due to differences in specifications. However, in the case of similar products, accidents have occurred where similar but different items were shipped because they looked almost identical. Our company is located in Hamamatsu City, Shizuoka Prefecture, an area with many automotive manufacturers, so we have the impression that most of our customers are in the automotive parts manufacturing industry. 【Inspection Settings and Results】 By using EasyInspector's "Color Comparison Inspection" feature, we were able to detect the presence or absence of holes, their positions, and color differences in 10 locations, and determine similar-looking items (different products) in less than 3.32 seconds. We were able to inspect 5 plastic pins (green), 2 plastic pins (white), 1 urethane tape, 1 metal pin, and 1 urethane resin in a single shot and inspection.

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[AI Image Inspection Case] Contamination Dirt Inspection

[AI Image Inspection Case] Contamination Dirt Inspection

We will detect contaminants of size 0.3 mm² within the resin molded products.

A resin molded product manufactured by an automotive manufacturer. We received an inquiry from our company with the aim of detecting 0.3 mm² size contaminants through image processing to improve work efficiency. 【Inspection Settings and Results】 Using the "Scratch and Flaw Inspection" function of EasyInspector, we set it up to detect 0.3 mm² size contaminants. The color of the flaws was set to black, and the detection was configured to identify darker colors compared to the surrounding pixels. The detection sensitivity was set to 3, as a lower number indicates better sensitivity; however, due to the small size of the target contaminants, even hair and dust were judged as foreign substances. As part of the operation, we proposed detecting contaminants and hair as NG (non-conforming) through image inspection, followed by a visual confirmation of the NG items.

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[AI Image Inspection Case] Remote Meter Reading

[AI Image Inspection Case] Remote Meter Reading

We will read outdoor meter readings using AI image inspection software!

This is a request for consultation on "remote reading" of meters from a company engaged in improving water quality and ground conditions through numerical analysis. Since imaging conditions outdoors can be unstable due to factors like time of day and weather, it is crucial to establish a stable imaging environment. 【Inspection Settings and Results】 By using EasyInspector's "meter reading" function, we were able to determine two locations. In the left image, we were able to read the values, but it is necessary to verify what results will occur when the image points to values other than "2" or "8," or when the shape of the contents changes. The right image has a reading function for a rod-shaped meter, but in this case, the color difference is not very clear, resulting in a stringent setting value. If the brightness changes slightly, it is likely that the reading location will change. With some adjustments to the lighting, we might be able to relax the conditions a bit more.

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[AI Image Inspection Case] Food "Chicken Bones" and "Pork Bones" Foreign Matter Detection

[AI Image Inspection Case] Food "Chicken Bones" and "Pork Bones" Foreign Matter Detection

We will flow food items of irregular shapes and sizes on a conveyor belt and detect foreign objects in blue, yellow, and green colors!

In the food industry, foreign object contamination can lead to significant accidents. As of 2017, verification was conducted using the conventional inspection software EasyInspector, but now such cases can be easily configured and inspected with DeepSky. Please refer to the article "Stopping the Conveyor After Discovering Insects on Cabbage." 【Inspection Settings and Results】 By using EasyInspector's "Presence of Specified Color Inspection" feature, it was possible to detect different colors from one location (the entire field of view). However, since the inspection was based on submitted images, there were instances where the background gray was similar to the different color, leading to noticeable false detections. While it is possible to set a strict "color judgment tolerance range," it has been suggested that adjustments to background color and lighting are necessary. 【Software and Equipment Used】 Software Used: EasyInspector710 Number of Inspection Points: 1 (entirety) Current 'EasyInspector2' color package allows inspection for the "Presence of Specified Color."

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[AI Image Inspection Case] Inspection of the Root Shape of Green Onions

[AI Image Inspection Case] Inspection of the Root Shape of Green Onions

We will inspect the shape of the root of the green onion using AI image inspection software! It is also possible to identify defects in agricultural products and classify their shapes and grades!

Currently, cases that are verified with DeepSky were previously verified with EasyInspector before the release of DeepSky. This verification involves inspecting the shape of the base of green onions. It includes sorting those with a bulbous, rounded base and many roots. The customer has specific requirements for the camera and resolution. 【Inspection Settings and Results】 We are inspecting the shape of the base of green onions using EasyInspector's "Dimension and Angle Inspection" function and "Damage Inspection" function. We propose various measurement methods across 14 different items. The inspection content is something that our software DeepSky, released in 2020, excels at. Our company aims to solve customer issues as cost-effectively as possible by utilizing the equipment they currently have, such as cameras.

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