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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

121～135 item / All 179 items

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[AI Image Inspection Case] Inspection of Bumps on Coated Surfaces

[AI Image Inspection Case] Inspection of Bumps on Coated Surfaces

The AI image inspection software detects and determines defects in automotive parts caused by painting errors!

When inspecting automotive parts after painting, there are instances where defects caused by painting errors result in the shipment of defective products. We wanted to enable the detection of these defects through image inspection. In automotive parts manufacturing, post-painting defect inspection is considered crucial for product assembly, leading us to consider the introduction of image processing to ensure accuracy. 【Inspection Setup and Results】 Using the "Scratch and Defect Inspection" feature of EasyInspector, we set up inspection frames to detect bright pixels compared to surrounding pixels and dark pixels at the same position, allowing detection regardless of which type is present. Even in cases where the background has a striped pattern, we were able to detect defects as small as 1mm by modifying the settings.

  • Image Processing Software

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[AI Image Inspection Case] Inspection for Missing Label Printing, Smudging, and Black Spot Detection

[AI Image Inspection Case] Inspection for Missing Label Printing, Smudging, and Black Spot Detection

Skylogic's AI image inspection software solves the problem of shipping defective prints due to missing or faded print and black spots!

In the label manufacturing industry, such as for product descriptions, productivity is increased by printing multiple labels at once. On the other hand, issues such as missing prints, smudges, and defects due to black spots have also arisen during printing. This problem of defective shipments is one that many label manufacturing companies face, and image processing software has been used as a means of improvement. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, three inspection frames were set for a single label to establish pass/fail criteria for missing prints, smudges, and black spots, detecting multiple defective areas. In the image above, the smudged area (NG) is highlighted in red, while the OK areas remain unchanged. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: 60x 70mm Minimum Size of Inspection Target: Approximately 5mm Number of Inspection Locations: 3 Camera Resolution: 1.3 Megapixels Lens Focal Length: 35mm Distance Between Lens and Product: Approximately 360mm Lighting: Indoor Lighting Current inspections can be performed with the 'EasyInspector2' color package using the "Comparison with Master Image" feature.

  • Image Processing Software

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The AI segmentation feature has been added!

The AI segmentation feature has been added!

Achieve improved work efficiency, stable quality, and cost reduction with AI segmentation features!

The AI general-purpose appearance inspection software "EasyInspector2" has newly added the "AI Segmentation" feature. The "AI Segmentation" feature performs segmentation (region division and labeling of each pixel in the image) using deep learning within the image. It calculates the ratio of pixels detected by segmentation within a specified polygonal area and makes pass/fail judgments. This feature can mainly be used for the following applications: - Tank water level - Area of metal processing surfaces and coating area - Measurement of crop growth (size) - Detection of lesions in photos and measurement of their area - Checking for coating gaps in sealants and adhesives - Monitoring the amount of smoke emitted By using the AI Segmentation feature for judgment, it achieves: - Improved work efficiency: Significant time savings compared to visual inspection - Enhanced accuracy in quality control: Reducing human errors and stabilizing quality - Cost reduction: Lower labor costs and reduced costs due to suppression of defective products.

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  • Image Processing Software

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Appearance Inspection AI "Gemini Eye" Recommended Operating Model

Appearance Inspection AI "Gemini Eye" Recommended Operating Model

An appearance inspection AI that tells you "something is different"! You can start using it with just a few training samples.

"Gemini eye" is an appearance inspection software equipped with our proprietary unsupervised machine learning algorithm, allowing easy access to AI technology. There is no need to collect defective products; an AI model can be created from learning just a few good products. The software enables a consistent process from material creation to verification and analysis, and it can be directly utilized in actual operations using a camera connected to a PC. At Applied, we offer the 'Be-Clia Type-M11IS22/T11IS24/T11IS23' as a recommended operational model. 【Gemini eye Features】 ■ AI model creation from six parameters ■ Output of verification results in images and reports ■ Immediate use of created models in operational mode ■ Compatibility with other systems ■ Offline use on Windows PCs ■ Pros and cons collaboration model *For more details, please refer to the related links or feel free to contact us.

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  • Visual Inspection Equipment

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[AI Image Inspection Case] Judgment of Electronic Circuit Boards

[AI Image Inspection Case] Judgment of Electronic Circuit Boards

By preparing the environment with cameras, lenses, lighting, and so on, inspections are possible in most cases!

We received an inquiry from an electronic component manufacturer and would like to introduce a case of a simple verification conducted on components mounted on a circuit board. By using the "Presence or Absence Inspection of Designated Color" feature of EasyInspector, we were able to determine four visually similar counterfeit items (different products) in 0.52 seconds. We conducted a presence or absence inspection of the components on the circuit board using the sample we received. As a result of the verification, determining based on the color of the component center was difficult due to the subtle difference from the background color, making stable inspection challenging; however, we were able to make determinations based on the presence or absence of solder. 【Software and Equipment Used (Excerpt)】 ■ Software Used: EasyInspector (formerly EasyInspector) ■ Field of View: 141×80mm ■ Minimum Size of Inspection Target: 2mm ■ Number of Inspection Points: 4 ■ Camera Resolution: 20 million pixels *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] Monitoring of Underground Tank Meters

[AI Image Inspection Case] Monitoring of Underground Tank Meters

Automate the monitoring of underground tank meters! Image inspection will help improve productivity.

The industrial machinery manufacturer has requested to automate the monitoring of underground tank meters. Monitoring the meters, even on-site, requires manual checks in rain or snow, which is time-consuming and labor-intensive. Image inspection can help improve productivity in such cases. Since the reading of the underground tank meter could not be done with the usual meter reading function, a method based on the number of lit lamps was used, allowing for threshold determination as shown in the attached document. (For example, if 4 lamps are lit, it can be read as 40%, and if 6 lamps are lit, as 60%.) Thresholds can be set for each frame, allowing for configurations such as defining a certain percentage as an abnormal value. Using the "Meter Reading" function of EasyInspector, five inspection frames could be evaluated in 0.52 seconds. [Software Used] EasyInspector (formerly EasyInspector) The current 'EasyInspector2' CP (Control Panel) package [Meter Display Reading] can be inspected with 'EasyMonitoring2'.

  • Visual Inspection Equipment

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[AI Image Inspection Case] Rubber Product Gloss Inspection

[AI Image Inspection Case] Rubber Product Gloss Inspection

Detect the gloss of rubber products in 8 locations and determine visually similar counterfeit products (defective)!

We received an inquiry from a manufacturer specializing in FA machinery, who is considering implementing our system in the inspection department of their factory in Malaysia. Our company has agents in Malaysia and China, and we plan to expand our sales channels overseas in the future. By using the "Scratch and Defect Inspection" feature of EasyInspector, we were able to detect glossiness in eight rubber products and determine visually similar defective items in less than 0.26 seconds. The "Scratch and Defect Inspection" feature was used to detect any white or black dots or lines within something that should be uniform. Additionally, we selected the "ring" inspection frame to match the shape of the products. 【Software and Equipment Used】 Software Used: EasyInspector710 (formerly EasyInspector) Field of View: 3 x 2mm Minimum Size of Inspection Target: 3mm Number of Inspection Points: 8 Camera Resolution: 1.3 Megapixels Lens Focal Length: 35mm Distance Between Lens and Product: Approximately 50mm Lighting: Indoor Fluorescent Light The current 'EasyInspector2' color package can be used for [Scratch and Defect Detection] inspections.

  • Visual Inspection Equipment

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[AI Image Inspection Case] Reading Analog Meters

[AI Image Inspection Case] Reading Analog Meters

I will read the analog gauges in the factory!

There was an inquiry about wanting to remotely check the analog instruments in the factory. ■ Indoor Meters For indoor analog meters, I believe reading them is possible. However, if inspections are to be conducted at night, it is necessary to maintain consistent brightness between day and night. ■ Outdoor Meters Outdoor meters will likely require lighting. Additionally, even with lighting, there may still be variations in brightness and shadows between day and night. It seems necessary to install something to enclose the meter or a roof-like structure for the meter. Another reason why reading outdoors is difficult is due to power supply issues. By using EasyInspector's "Meter Reading" function, it was possible to read measurement values from one location. Regarding the difference in light intensity, the image on the right can be read, but the left image is misreading a different part as the needle, resulting in an incorrect judgment. Creating a stable imaging environment for reading is crucial.

  • Visual Inspection Equipment

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

[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.

  • Visual Inspection Equipment

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

[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.

  • Visual Inspection Equipment

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[AI Image Inspection Example] Defect Inspection of Assembled Parts

[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.

  • Visual Inspection Equipment

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[AI Image Inspection Case] Measurement of Cavity (Tooth Decay) Model Size

[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."

  • Visual Inspection Equipment

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[AI Image Inspection Case] Detection of scratches, rust, and dents on metal fittings.

[AI Image Inspection Case] Detection of scratches, rust, and dents on metal fittings.

Detects scratches, rust, and dents on the car seat belt buckle!

This is a simple verification of the metal fittings of a car seat belt. Our company is located in Hamamatsu City, Shizuoka Prefecture. It is an active region for automotive parts manufacturing, and we have a track record of being adopted by over 2,000 industrial equipment manufacturers and manufacturers. We design inspection software that is easy to integrate and sold as a one-time purchase, and we have many repeat customers. 【Inspection Settings and Results】 By using the "Scratch Inspection" function of EasyInspector, we were able to inspect one location in 0.55 seconds. The image shows the imaging environment for this inspection. We verified all the sample products we received under the same lighting conditions and inspection settings. Among them, some defective products with scratches and some defective products with dacon could not be detected. Other sample products were able to detect the scratches and rust we wanted to identify.

  • Image Processing Software

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

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

Detecting defective parts of plastic molded products!

This is an inquiry from a manufacturer of plastic products processing. Even in the case of small-batch production of various types, our image inspection can assist with operational efficiency. Our company accepts verification and support from technical staff on a daily basis. If you have any issues, questions, or uncertainties during operation, we would be grateful if you could feel free to contact us at any time. 【Inspection Settings and Results】 By using the "Comparison with Master Image" function of EasyInspector, we were able to detect defective areas within four inspection frames. By dividing the inspection frame into four parts from the entire screen, it becomes possible to correct shifts in each inspection frame. As a result, we can suppress noise (very small differences) that may detect even good parts.

  • Image Processing Software

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[AI Image Inspection Case] Double Insertion Inspection of Pins

[AI Image Inspection Case] Double Insertion Inspection of Pins

Detect differences in a single hole and determine visually similar imitations (different items)!

The manufacturer, who is active mainly in industrial machine blades, seems to be interested in both DeepSky, which uses AI (deep learning), and the conventional rule-based EasyInspector, and has sent us sample products. This report is on the inspection conducted using EasyInspector. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to detect the difference in one hole and determine visually similar items (different products) in 1.64 seconds. The offset correction frames were placed on the corner part of the workpiece (red frame) and the hole part (light blue frame). In the image on the right, the white color of the pin appears in the shadowed area of the groove, and this part is detected as a difference and marked in red, resulting in a judgment of NG (not good).

  • Image Processing Software

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