Visual inspection software Product List and Ranking from 21 Manufacturers, Suppliers and Companies

Last Updated：Dec 10, 2025 Aggregation Period:Nov 12, 2025～Dec 09, 2025
This ranking is based on the number of page views on our site.

Visual inspection software Manufacturer, Suppliers and Company Rankings

Last Updated：Dec 10, 2025 Aggregation Period:Nov 12, 2025～Dec 09, 2025
This ranking is based on the number of page views on our site.

スカイロジック Shizuoka//software
エーディーディー Kyoto//software
藤川伝導機 Tokyo//Industrial Machinery
4 三機 Creative Lab Aichi//robot
5 株式会社Roxy Aichi//IT/Telecommunications

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Visual inspection software Product ranking

Last Updated：Dec 10, 2025 Aggregation Period:Nov 12, 2025～Dec 09, 2025
This ranking is based on the number of page views on our site.

AI General Purpose Appearance Inspection Software 'EasyInspector2' スカイロジック
AI visual inspection software "DeepSky" スカイロジック
Appearance inspection software "MELSOFT VIXIO" 藤川伝導機
4 Appearance inspection software "MELSOFT VIXIO" 藤川伝導機
5 [AI Image Inspection Case] Reading Text on Nameplates スカイロジック

Visual inspection software Product List

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[AI Image Inspection Case] Appearance Inspection of Chinese Cabbage

We will conduct an appearance inspection of cabbage using AI image inspection software!

The introduction of appearance inspection systems is rapidly increasing even among food manufacturers. It has been considered difficult to conduct appearance inspections due to unstable shapes, but we expect inquiries to continue to rise due to technological advancements and labor shortages caused by population decline. It is our mission to contribute to the manufacturing industry, which is directly linked to our comfortable lives. 【Inspection Settings and Results】 A total of 31 images were used as training data, consisting of 10 OK and 29 NG samples. As shown in the left image, the areas of interest to be detected were framed and labeled by type. The label names were set as follows. There were no false detections in the judgment based on the training data. Among the 61 non-training images, there were 15 instances where NG was judged as OK. For workpieces with unstable shapes, increasing the number of training images and conducting additional learning can improve detection accuracy. 【Software and Equipment Used】 Software Used: DeepSky Learning Version Number of Inspection Points: 1 point searching for defects across the entire screen Camera Resolution: 1.3 million pixels Lens Focal Length: 12mm

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Detection of Black Parts on a Black Background

It enables the detection of black foreign objects and parts on a black background, which has been considered difficult to detect until now.

This is an inquiry from a manufacturer of resin-molded parts for automotive interior components, with whom we have had transactions in the past. Detecting black foreign objects or parts on a black background has been considered a challenging inspection task until now. The image inspection software DeepSky, which uses AI (deep learning), is capable of recognizing such similarly colored parts and foreign objects. 【Inspection Settings and Results】 Using a 1.3-megapixel camera, we captured approximately 1/4 of the overall field of view and conducted learning and detection. As a result, it was possible to identify the types of clips and the number of tackers under the verification environment. However, for items like fasteners attached to sloped surfaces where tackers are difficult to see, detection is likely to be challenging, so adjustments to the camera angle will be necessary. We categorized the labels into 11 types (naming and registering the items we want to find). We conducted simple tests after training with 13 teacher images for 1600 steps. 【Software Used】 Software used: DeepSky

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Hair Contamination in Food

We will detect and determine hair mixed in frozen food!

In food manufacturing, the presence of hair can lead to significant incidents. For inquiries regarding food or raw items, we may ask you to send images. In such cases, if you could provide photos with good lighting and focus to clearly capture the area of concern (defect), we can conduct an inspection. This time, we received an image with hair placed on frozen food. 【Inspection Settings and Results】 In the pattern of frozen food, the detection results were favorable. When in a frozen state, the overall appearance is whitish, which provides good contrast with black hair. However, I believe that even at room temperature, there is a possibility of detection if we simply increase the number of training images. By increasing the number of training images and learning steps, DeepSky's strength lies in its ability to improve accuracy through continued learning. 【Software Used】 Software Used: DeepSky Learning Version Number of Inspection Points: 1 location to find hair from the entire screen

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Detection of Foreign Objects in Pleated Filters

Detect foreign objects in tubular pleated filters using AI image inspection software!

This is a communication from a trading company we have been dealing with for some time. "Foreign substances" will be detected. We have received inquiries from various customers, including industrial equipment manufacturers, trading companies, and end users. 【Inspection Settings and Results】 When we actually applied image processing, there was some variation in detection depending on the angle, but foreign substances of about 2mm could be detected within a field of view of approximately 250mm. Very small foreign substances, such as tiny black dots or hairs, could be detected within a field of view of about 50mm. 【Software and Equipment Used】 Software Used: DeepSky Learning Field of View: 50mm Minimum Size of Inspection Target: 2mm Number of Inspection Points: 1 location to find foreign substances across the entire screen Camera Resolution: 1.3 million pixels Lens Focal Length: 8mm Lighting: Indoor fluorescent lights

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Inspecting Paint Defects on Metal

We will inspect the painted metal work for "paint splatter," "oil-like residues," "scratches," "dents," and "liquid drips."

This is an inquiry from a manufacturer of industrial machinery asking if inspections can be conducted on a conveyor. 【Inspection Settings and Results】 Using DeepSky's inspection capabilities, it was possible to perform evaluations on the conveyor. The left image shows the process of enclosing the area of interest, referred to as "annotation." The right image displays the "detection frame." By separating the settings for overall defects, such as oil adhesion and roughness, from partial defects like scratches, drips, and bumps, we achieved good evaluation results.

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Judgment of Sewing Product Implementation

We will automate the inspection process carried out by operators using jigs in multiple stages!

The curtains installed inside vehicles such as cars, buses, and trucks are folded in an accordion style. If the various components, such as the belts called "hooks" and "tassels," as well as "Velcro," are not attached in the specified positions, the product will not pass inspection. There is a request to automate the current process where workers use jigs to inspect multiple times. 【Inspection Settings and Results】 The inspection was conducted using the inspection software "DeepSky." First, the components to be identified were annotated (left image). To help the software recognize the inspection areas, we annotated 10 good sample images divided into five categories: belts, part A, part B, Velcro, and product tags. Next, the areas where these components should be installed were specified (right image). Since the curtains are accordion-style, a proposal was made to use jigs for fixing in order to capture the workpiece in the correct specified position. It was possible to accurately determine whether the specified components were in the designated locations, marking it as OK if present and NG if not.

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Inspection of the installation of black components on a black curtain

We will conduct an inspection of the black components on the black accordion-style curtain!

It has been said that determining the presence or absence of black components in black workpieces through image inspection is difficult. This time, we conducted an implementation inspection of black accordion-style curtains installed on windows of cars, trucks, and buses. In Hamamatsu City, Shizuoka Prefecture, where our company is located, there are many factories producing automotive parts, and our inspection software is utilized by various automotive parts manufacturers. [Inspection Settings and Results] We conducted the inspection using software that employs AI (Deep Learning). By training the software on the areas we want to detect, it adjusts its own setting parameters and becomes capable of recognition. This inspection software can easily inspect "black defects on black workpieces" and "metal (silver gloss) with metal components or defects (silver gloss)" with simple settings. We encourage you to try it out on our website's "DeepSky Learning Service." We verified it using the black curtains for automobiles that you brought. It was possible to detect the number of installation parts and determine the installation positions of the components. The blue detection frame outside the image indicates a pass for the specified area, while the light green and light blue detection frames inside indicate a pass for the types of components.

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Inspection of Presence or Absence of Seal

The AI image inspection software detects the presence or absence of a seal in one location and makes a judgment!

In the pharmaceutical industry, similar to other sectors, products were packed in paper boxes with a specified number and sealed with stickers for shipment. However, incidents of forgetting to apply the seals occurred. We verified this using DeepSky, which can detect the absence of seals regardless of various orientations and angles during the operation. DeepSky is a software that excels in such inspections and is utilized across various industries. 【Inspection Settings and Results】 By using DeepSky's inspection function, we were able to detect the presence or absence of a seal in one location, achieving a judgment time of 0.23 seconds. The inspection time may vary depending on the specifications of the computer. The images were extracted from the report. In the left image, we set it to detect one seal with one type of label as OK, while in the right image, the inspection judgments of "OK" and "NG" were made without false detections. The inspection was conducted with the images provided, but this time we are also considering the environment, such as cameras. The camera and lens will vary depending on the acceptable working distance and field of view.

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Inspection of Fraying in Fabric Products

We will inspect the fraying edges of fabric products that resemble ribbons!

This is an inquiry from overseas. We have partnered retailers in China and Malaysia. 【Inspection Settings and Results】 By using the "Scratch Inspection" feature of EasyInspector, we were able to determine one location (with a total of two inspection frames) in 0.07 seconds. We applied two types of inspection frames for black and white spots. For detecting even finer fraying, it may be possible to improve detection by increasing the camera resolution or adjusting the lighting. 【Software Used】 Software used: EasyInspector710 Number of inspection locations: 1 (overall)

Company：スカイロジック
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[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."

Company：スカイロジック
Price：Other

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[AI Image Inspection Case] Judgment of Knob Insertion Differences

The AI image inspection software detects misplacement of knobs and dials in audio products!

The instrument manufacturer was experiencing issues with incorrect placement of knobs and dials in their audio products. It is conceivable that human error could occur during visual inspections. They were considering software that could simultaneously inspect multiple factors, such as color differences and incorrect orientations of the knobs. 【Inspection Settings and Results】 Using seven types of image data provided, we were able to detect insertion errors, etc., within our company using the "Master Image Comparison" and "Presence of Specified Color Inspection" functions of "EasyInspector." The inspection time for each part ranged from 0.90 seconds to 0.58 seconds. 【Software Used】 Software Used: EasyInspector310 Number of Inspection Points: 2 to 10 points for each of the 7 images The current 'EasyInspector2' color package can perform inspections using the [Presence of Specified Color] and [Master Image Comparison] features.

Company：スカイロジック
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[AI Image Inspection Case] Detection of Black Spot Foreign Objects

It is an inspection to find black spots on the product surface.

This is an inspection to find black spots on the surface of the customer's product, requested by the trading company. They wanted to detect black spots across the entire screen, so we received images and conducted a judgment test. They requested information (coordinates) indicating where the foreign substances are located. 【Inspection Settings and Results】 Detection was achieved using the "Scratch and Defect Inspection" feature of EasyInspector. The screen was divided into 30 sections, creating 30 inspection frames. It is possible to keep records of which inspection frame detected defects, along with images and CSV files. The test was conducted with strict detection settings, so the customer will need to set their own criteria for what constitutes a defect. Our company offers affordable sales by having customers set the parameters themselves. 【Software Used】 Software used: EasyInspector710 The current 'EasyInspector2' color package can be used for inspection with the [Scratch and Defect Detection] feature.

Company：スカイロジック
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[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.

Company：スカイロジック
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[AI Image Inspection Case] Reading Inspection of Lot Number Printed on Labels

We have introduced a feature to recognize numbers, enabling the detection of "character discrepancies" and "printing errors."

In the label manufacturing industry for product descriptions, there are many cases where numbers need to be printed. Even if we can detect smudges or black spots, it is meaningless if the printed numbers themselves are incorrect. Therefore, we considered introducing a function to recognize numbers to detect "character discrepancies" and "printing errors." 【Inspection Settings and Results】 By using the "OCR Pro" feature of EasyInspector, we can read multiple lot numbers (corresponding to the number of characters) from a single inspection frame. For characters that are difficult to read, it is also possible to train the system to inspect them one by one. The image on the right above shows that the number "8306" has been successfully read. 【Software and Equipment Used】 Software Used: EasyInspector710 Field of View: 60 x 70 mm Minimum Size of Inspection Target: Approximately 5 mm Number of Inspection Points: 1 Camera Resolution: 1.3 Megapixels Lens Focal Length: 35 mm Distance Between Lens and Product: Approximately 360 mm Lighting: Indoor Lighting The current 'EasyInspector2' RD (ReaDing) package can perform inspections with [OCR (Character Recognition)] and [Machine Learning OCR].

Company：スカイロジック
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[AI Image Inspection Case] Determination of Dirt on Lighting Equipment Parts

The AI image inspection software detects three types of dirt on lighting equipment parts!

At the request of an LED lighting manufacturer, we conducted a verification test for dirt detection. This test aims to detect dirt such as film-like dust that is difficult to see with the naked eye. 【Inspection Settings and Results】 We received four types of samples and were able to detect three types of dirt. However, for the sample with a bumpy surface finish, we were unable to detect dirt under the same imaging conditions. How to capture the defective areas becomes a crucial point in the inspection. The inspection frame was set as a single frame for the entire area, with an inspection cycle of 2.03 seconds. 【Software and Equipment Used】 Software used: EasyInspector710 Field of view: 64 x 51 mm Minimum size of inspection target: 0.2 mm Number of inspection points: 1 Camera resolution: 10 million pixels Lens focal length: 25 mm for high pixels Distance between lens and product: 260 mm Lighting: LED lighting (illuminated from both sides)

Company：スカイロジック
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