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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

91～105 item / All 179 items

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[AI Image Inspection Case] Judgment of dents, scratches, and chips on painted products.

[AI Image Inspection Case] Judgment of dents, scratches, and chips on painted products.

The AI image inspection software evaluates dents, scratches, and chips on interior painted products!

Automotive parts such as resin-molded components require higher quality interior parts as the luxury of the vehicle increases. This inquiry is about automating the inspection of small "dents, thread scratches, and chips" on interior painted parts. 【Inspection Setup and Results】 Using DeepSky's inspection capabilities, we were able to determine "dents, thread scratches, and chips" on resin-painted products. To achieve high precision in the inspection, we wanted to capture defective areas in larger images, so we evaluated them by magnifying the display. To shorten inspection time, we are proposing an inspection environment where multiple cameras inspect simultaneously on a conveyor. The left image is the "training image" for the defects, and the right image is the "detection frame."

  • Image Processing Software

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[AI Image Inspection Case] Detection of Product Defects

[AI Image Inspection Case] Detection of Product Defects

We will conduct inspections of scratches that occur on the side walls of products using AI image inspection software!

The industrial equipment and machinery manufacturer you inquired about has requested multiple simple verifications in the past. This time, the contact is regarding consultation on inspection methods for scratches that occur on the side walls. However, detecting "scratches" is not a must for the ongoing inspection, and they are looking for technical cooperation on how the inspection can be conducted. 【Inspection Setup and Results】 By using the "Scratch Detection" feature of EasyInspector, we were able to determine a scratch in less than one second at a single location. If the scratch is captured well from the top view, there is a possibility of detection using the scratch detection feature. We receive numerous inquiries from industrial equipment manufacturers, and we offer explanations on usage and demonstrations during web meetings or visits involving end users at no charge. 【Software Used】 Software Used: EasyInspector710 The current 'EasyInspector2' color package can be used for scratch and defect detection.

  • Image Processing Software

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[AI Image Inspection Case] Non-Detection Pixel Function

[AI Image Inspection Case] Non-Detection Pixel Function

We will conduct inspections of parts produced by air conditioning equipment manufacturers using AI image inspection software!

Our company is located in Hamamatsu City, Shizuoka Prefecture, which is known for its thriving automotive parts manufacturing industry. Our main customers are manufacturers of various industrial machinery and control equipment, as well as users. We have a track record of providing support for over 1,000 cases and are developing inspection software that is easy to integrate and sold as a one-time purchase. 【Inspection Settings and Results】 By using the "Specified Color Presence Inspection Function" of EasyInspector, we conducted an inspection at one location. We used a circular frame (optional), but by enclosing the entire workpiece and masking the black background and seam areas, we believe it can also be inspected with a standard frame. In the left image, the masking function allows us to set "non-detection pixels" for areas that should not be inspected, which helps shorten the cycle time and eliminate false detections; it is a highly convenient feature. The right image shows the detection results. 【Software Used】 Software Used: EasyInspector710 The current 'EasyInspector2' color package can perform inspections for "Specified Color Presence."

  • Image Processing Software

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[AI Image Inspection Case] Button Mark Inspection

[AI Image Inspection Case] Button Mark Inspection

We conduct mark inspections using AI image inspection software to prevent the shipment of defective products!

In the automobile manufacturing process, buttons are installed, and when pressed, the operation begins. However, if the installation order is incorrect, the marks and operations may not match, leading to the possibility of shipping defective products. Such defects can result in significant losses for automobile manufacturers, so an image processing system was used to enhance accuracy. 【Inspection Settings and Results】 Using the "Color Comparison Inspection" feature of EasyInspector, specifically the "Comparison with Master Image," inspection frames were designated for the marks of four buttons to check if the mark images matched. The white marks were successfully identified against a black background. 【Software and Equipment Used】 Software Used: EasyInspector310 Field of View: 125mm x 170mm Minimum Size of Inspection Target: Approximately 20mm x 30mm Number of Inspection Points: 4 Camera Resolution: 1.3 Megapixels Lens Focal Length: 6mm Distance Between Lens and Product: Approximately 200mm Lighting: Not used The current 'EasyInspector2' color package allows for inspection using the "Comparison with Master Image" feature.

  • Image Processing Software

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

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

Determine abnormalities in 12 locations of cushioning material corrugated cardboard!

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

  • Visual Inspection Equipment

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

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

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

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

  • Visual Inspection Equipment

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

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

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

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

  • Visual Inspection Equipment

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[AI Image Inspection Case] Liquid State Inspection

[AI Image Inspection Case] Liquid State Inspection

We will detect the state of the liquid (whether the wastewater treatment is sufficient) using AI image inspection!

We received an inquiry from an industrial machinery manufacturer regarding wastewater treatment. We will inspect whether the treatment has been sufficiently completed. At SkyLogic, we research the latest technologies such as AI and IoT, transforming them into user-friendly products for our customers. For example, in the AI field, we offer DeepSky, which enables flexible recognition through deep learning, and in the IoT field, we have EasyMonitoring, which processes images from dozens of network cameras. By using the "Defect Inspection" feature of EasyInspector, we detect the processing status of the entire image at one location. When inspecting with EasyInspector, it is necessary to stabilize the imaging environment. Although we were able to detect it this time, we recommend using inspection software that employs AI (deep learning) for operational purposes. [Software Used] Software: EasyInspector310 (formerly EasyInspector) Current 'EasyInspector2' color package [Defect Detection] Inspections can be conducted with 'EasyMonitoring2'.

  • Visual Inspection Equipment

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[AI Image Inspection Case] Missed Inspection of Label Instructions

[AI Image Inspection Case] Missed Inspection of Label Instructions

Inspection of 32 label inspection items covered by AI image inspection software!

A customer, a high-performance plastic resin manufacturer, contacted us through our website regarding their concerns about the user manual inspection. They mentioned that due to the large amount of text and small font size, they are experiencing missed inspections and longer inspection times. 【Inspection Settings and Results】 By using the "Comparison with Master Image" feature of EasyInspector, we were able to cover 32 inspection items for the labels and make determinations. The inspection time during verification was approximately 15 seconds, but when we set up an overall inspection frame and performed more detailed "shift correction," it took about 2 minutes. 【Software and Equipment Used】 Software Used: EasyInspector (formerly EasyInspector) Field of View: Approximately 622 x 455mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 8 Camera Resolution: 14 million pixels Lens Focal Length: 12mm Distance from Lens to Product: Approximately 540mm Lighting: Two bar lights Distance from Lighting to Inspection Item: Illuminated from about 100mm above the left and right sides The current 'EasyInspector2' color package can perform inspections using the "Comparison with Master Image" feature.

  • Visual Inspection Equipment

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[AI Image Inspection Case] LED Lighting Inspection

[AI Image Inspection Case] LED Lighting Inspection

We will inspect whether the LED chips are good products using AI image inspection software!

This is an inquiry from a company that sells lighting fixtures. It is a simple verification to determine whether the LED chips, which are the source of the lighting, are of good quality (i.e., whether there are any defects). There is growing expectation for tools that promote automation and labor-saving in manufacturing lines by combining various inspection systems. We hope to be of assistance to our customers by applying our inspection software. 【Inspection Settings and Results】 The inspection item was positioned within the screen, and settings were made using the EasyInspector "Presence of Specified Color" inspection function. Additionally, the number of lit locations was set in "Counting Mode." The left image is an enlargement of the inspection results, where the green areas indicate the detected parts of the specified color, and the numbers represent the detected pixel count. The right image shows the imaging environment for this inspection.

  • Circuit Board Inspection Equipment

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[AI Image Inspection Case] Tape Defect and Foreign Object in Tape Section

[AI Image Inspection Case] Tape Defect and Foreign Object in Tape Section

We conducted inspections for two areas of tape defects and foreign objects in the tape using AI image inspection software!

The manufacturer of FA machine automatic systems was considering inspection software for film defects. Our company has over 2,000 implementations in inspection lines and is utilized in various fields such as electrical, electronic, mechanical, and assembly. By replacing visual inspections with image processing, automatic appearance inspection that prevents the outflow of defects can be realized. 【Inspection Settings and Results】 Using the "Comparison with Master Image" function of EasyInspector, we conducted inspections for tape defects in two locations and foreign substances on the tape. While detection was possible, the inspection cycle took more than "1 sec per piece." - There is a shift for each image, which takes time for shift correction. - The images you provided this time have a high resolution of 40 million pixels. → It may be necessary to reduce it to around 300,000 pixels. Due to the time required for shift correction as mentioned above, we recommend using image inspection software with AI (deep learning) for verification in cases where shifts occur in operation, as shown in the sample images.

  • Visual Inspection Equipment

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[AI Image Inspection Case] Judgment of Electronic Circuit Boards ②

[AI Image Inspection Case] Judgment of Electronic Circuit Boards ②

The AI image inspection software detects incorrect component placements on electronic circuit boards!

I believe that substrates are the most common cases we receive inquiries about. This time, we have a request for a simple verification of a substrate. Our company offers a "Simple Evaluation Service" provided by technical staff free of charge. If detection and judgment can be made during the simple evaluation, it is recommended to conduct a "Feasibility Verification" test, which simulates actual operation, to evaluate processing time and judgment accuracy. Additionally, we offer free rental of demo machines, allowing users to experience the inspection software firsthand. 【Inspection Settings and Results】 Inspection was possible using the "Comparison with Master Image" feature of EasyInspector. The areas shaded in red are all recognized as differences. There are parts that accurately capture the differences in components and their presence or absence, as well as parts that misdetect due to light reflection or angle differences. Even if some differences were too small to capture in a single image, I believe that by enlarging and imaging those areas, detection of abnormalities can still be achieved, although the range that can be inspected in one go will be limited. 【Software Used】 Software Used: EasyInspector Current 'EasyInspector2' color package can be used for inspection with the "Comparison with Master Image" feature.

  • Image Processing Software

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[AI Image Inspection Case] Inspection of Wiring Position

[AI Image Inspection Case] Inspection of Wiring Position

We will inspect the position of the wiring of the harness attached to the connector using AI image inspection software!

This is an inquiry from an electronic component manufacturer. We will inspect the harness attached to the connector. Our company offers a "simple evaluation service" provided by technical staff free of charge. If detection or judgment can be made during the simple evaluation, we will conduct a "feasibility verification" test, which simulates actual operation, to evaluate processing time and judgment accuracy. Additionally, we offer free rental of demo units, allowing users to experience the inspection software firsthand, and we recommend implementation only after they are satisfied. 【Inspection Settings and Results】 By using the "Presence of Specified Color Inspection" function of EasyInspector, we were able to inspect two locations. To conduct a simple verification, we edited the images of the samples we received and created images of defective products with color swaps. The blue display indicates a pass in the inspection results, while the red display indicates a fail.

  • Image Processing Software

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[AI Image Inspection Case] Inspection of Lead Wire Color and Insufficient Terminal Insertion

[AI Image Inspection Case] Inspection of Lead Wire Color and Insufficient Terminal Insertion

The AI image inspection software detects lead wire color and terminal insertion deficiencies!

One of the common inquiries we receive from customers is regarding the inspection of cable lengths and colors. As a basic procedure, we first request customers to send sample products for a preliminary verification. The inspection framework has been established for each wiring (8 colors) and each terminal (7 locations). Both the lead wires and terminals utilized EasyInspector's "presence or absence of specified color" inspection. For lead wires, the specified colors (8 colors) are designated from the screen, and for terminals, the yellow part of the terminal is specified from the screen. If the specified color is present in a quantity greater than the lower limit, it is considered a pass (OK). If the lead wire does not have the specified color in a quantity above the lower limit, it is judged as a different position (NG). If the quantity of the specified color for the terminal is insufficient, it is deemed as insufficient insertion (NG).

  • Image Processing Software

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[AI Image Inspection Case] Inspection of Scratches on Metal Parts

[AI Image Inspection Case] Inspection of Scratches on Metal Parts

We will propose inspection software tailored to the inspection target, operational conditions, and your preferences!

We conducted a simple verification of the detection of scratches on metal parts. In our communication with the customer, we sometimes report both the traditional rule-based inspection software and the AI (deep learning)-based inspection software for their consideration of which is better. 【Inspection Settings and Results】 As a result of the verification using the samples provided, scratches on metal parts were detectable by using ring lighting. By utilizing the "Scratch Inspection" feature of EasyInspector, we were able to detect scratches in 0.34 seconds from one location (the entire screen). Adjustments to the settings are necessary for different diameters and lengths. DeepSky also achieved static detection in 0.3 seconds. The left image is an enlarged view of the detection area from EasyInspector. The right image is an enlarged view of the detection frame from DeepSky.

  • Image Processing Software

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