We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Visual inspection software.
ipros is IPROS GMS ・ IPROS One of the largest technical database sites in Japan that collects information on.

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

Last Updated： Aggregation Period:Feb 18, 2026～Mar 17, 2026
This ranking is based on the number of page views on our site.

Visual inspection software Product List

121～150 item / All 179 items

Displayed results
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
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.

  • 3.jpg
  • 241015091309_00002_AdobeStock_506754103_res.jpg
  • 241015091242_00001_3122677_m_res.jpg
  • 241015091509_00006_30923435_m_res.jpg
  • 241015091530_00007_30305361_m_res.jpg
  • Image Processing Software
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
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.

  • 2022-04-11_09h25_45.png
  • 2022-04-11_09h25_30.png
  • 2022-04-11_09h25_34.png
  • 2022-04-11_09h48_40.png
  • 2022-04-11_09h25_57.png
  • 2022-04-11_09h26_03.png
  • 2022-04-11_09h26_07.png
  • 2022-04-11_09h26_11.png
  • 2022-04-11_09h26_19.png
  • Visual Inspection Equipment
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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.

  • Image Processing Software
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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.

  • Image Processing Software
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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.

  • Image Processing Software
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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.

  • Image Processing Software
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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.

  • Image Processing Software
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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.

  • Image Processing Software
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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.

  • Image Processing Software
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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.

  • Image Processing Software
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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.

  • Image Processing Software
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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.

  • Image Processing Software
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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."

  • Image Processing Software
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration
[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.

  • Image Processing Software
  • Visual inspection software

Added to bookmarks

Bookmarks list

Bookmark has been removed

Bookmarks list

You can't add any more bookmarks

By registering as a member, you can increase the number of bookmarks you can save and organize them with labels.

Free membership registration

Related Categories of Visual inspection software

COPYRIGHT © 2001-2026 IPROS CORPORATION ALL RIGHTS RESERVED.