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

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

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

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

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

Visual inspection software Product List

391～405 item / All 470 items

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[AI Image Inspection Case] Implementation Inspection of Resin Molded Products

[AI Image Inspection Case] Implementation Inspection of Resin Molded Products

We will inspect the presence of clips and rivets in resin-molded parts using AI image inspection software.

Automotive parts and other resin-molded components can vary in availability and position due to differences in specifications. However, in the case of similar products, accidents have occurred where similar but incorrect items were shipped because they looked almost identical. We will inspect the presence of clips and rivets. 【Inspection Setup and Results】 By using DeepSky, it was possible to determine the presence of clips and rivets. While it is challenging to make judgments when the items are rotated 90 or 180 degrees, detection was possible by slightly shaking the items in the rotation direction within the visible range and training the system with the shaken images as examples. 【Software and Equipment Used】 Software Used: DeepSky Learning Version Field of View: Approximately 685 x 549 mm Minimum Size of Inspection Target: 2 mm Number of Inspection Points: 6 Camera Resolution: 1.3 Megapixels Lens Focal Length: 8 mm Distance from Lens to Product: Approximately 900 mm Lighting: Indoor Lighting

  • Image Processing Software

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[AI Image Inspection Case] Container Dirt Inspection

[AI Image Inspection Case] Container Dirt Inspection

Detects and determines foreign objects such as bird droppings and paper in the crate, as well as deformities!

In food manufacturing, crates may be used during delivery. When collecting crates, they may be left in open warehouses or outdoors, which can lead to contamination from bird droppings, paper, and other foreign materials, as well as deformation. This time, we received a request from a customer to ensure that products are received in clean crates, so we examined the dirt and foreign materials attached to the containers. 【Inspection Settings and Results】 For bird droppings, we conducted tests using white, black, and brown paint as shown in the image on the right. After annotating the detection area (the process of enclosing the detection area in a frame) as shown in the left image, we proceeded with "training." We annotated 10 images for each NG variety. The "number of recognition points (standard value)" was set to "10" (the default is "60"), and detection was successful. 【Software and Equipment Used】 Software Used: DeepSky Learning Version Field of View: 400 x 300mm Minimum Size of Inspection Target: 10mm Number of Inspection Points: 1 location to find NG from the entire screen Camera Resolution: 1.3 million pixels Lens Focal Length: 6mm Distance Between Lens and Product: 580mm Lighting: If the brightness varies in the morning and evening near windows, it is recommended to install lighting.

  • Image Processing Software

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[AI Image Inspection Case] Detection of Burrs in Resin Molded Products

[AI Image Inspection Case] Detection of Burrs in Resin Molded Products

The AI image inspection software detects burrs in resin molded products!

We received an inquiry from a sensing equipment manufacturer regarding burr detection. It seems that as long as we can capture images where the contours of the workpiece are clearly visible, detection itself should be possible, and the key point will be how to create that environment. We have received various consultations regarding burrs from different industries, and many customers have found our inspection software helpful for achieving more stable product shipments. [Inspection Settings and Results] As shown in the image, we are detecting burrs with high accuracy. The teacher images used for this verification consisted of 120 images. This was created by capturing 10 images of good and defective products and rotating each image by 30° for a total of 12 times. As a simple operational method, we reported that the parts are guided from the parts feeder to the backlight conveyor, where they are inspected one by one using a sensor.

  • Image Processing Software

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[AI Image Inspection Case] Defect Detection of Glossy Resin Coated Products

[AI Image Inspection Case] Defect Detection of Glossy Resin Coated Products

Detecting glossy resin-coated items with AI image inspection software!

Automotive parts and other resin-molded interior painted products often have a glossy and elegant finish. We are considering our inspection software to stably produce higher quality products. 【Inspection Settings and Results】 We were able to detect black specks of about 0.2 mm within the black glossy paint. To capture fine defects, we proposed using multiple cameras with a method that slowly conveys the items for magnified imaging. In this evaluation, lighting was a significant factor. We conducted the inspection using software that employs AI (Deep Learning). Traditionally, image inspection has been difficult for glossy or mirror-finished products with conventional inspection software, but with innovative lighting and DeepSky, easy setup for inspection has become possible.

  • Image Processing Software

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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] Inspecting the Shape of the Cover Panel

[AI Image Inspection Case] Inspecting the Shape of the Cover Panel

Detect the dimensional differences at two locations of the cover panel and determine similar-looking imitations (different items).

The engines for motorcycles and automobiles produced by the machinery manufacturer, along with the parts implemented in them (this time it was the cover panel), require advanced technology. To emphasize the development of human resources and the improvement of technology, we recommend automating the simplified visual inspection. 【Inspection Settings and Results】 By using the "Dimension Angle Inspection" feature of EasyInspector, we were able to detect dimensional differences in two locations and determine visually similar items (different products) in 0.75 seconds. A free trial version of EasyInspector is available on our company's download page. You can also use images taken with your smartphone. Please give it a try. 【Software Used】 Software Used: EasyInspector710 Number of Inspection Points: 2 The current 'EasyInspector2' MS (MeaSure) package can inspect using [Position and Width Measurement] and [Angle Measurement].

  • Image Processing Software

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

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

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

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

  • Image Processing Software

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[AI Image Inspection Case] Contamination Dirt Inspection

[AI Image Inspection Case] Contamination Dirt Inspection

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

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

  • Image Processing Software

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[AI Image Inspection Case] Rubber Parts Assembly Inspection

[AI Image Inspection Case] Rubber Parts Assembly Inspection

We conduct visual inspections of resin-molded parts related to automobiles and determine the presence or absence of rubber part installation and detect any double installations.

There was a request to photograph products arranged on a pallet. You were looking for inspection software that could be generalized to other parts by exchanging the arranged pallets. 【Inspection Settings and Results】 By using EasyInspector's "Color Comparison Inspection and Presence of Specified Color Inspection" function, it was possible to determine in less than 0.57 seconds whether the rubber parts of 25 products arranged in the pallet during shipping packaging were correctly implemented.

  • Image Processing Software

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[AI Image Inspection Case] Presence or Absence of Culture Chip

[AI Image Inspection Case] Presence or Absence of Culture Chip

We will use AI image inspection software to count culture chips and determine the presence or absence of parts!

At the equipment cleaning company, counting the culture chips and confirming their presence or absence had become a hassle. You were considering image inspection to solve this issue and contacted our company. 【Inspection Setup and Results】 We conducted verification of pass/fail judgment based on the presence or absence of parts and counting using the samples you provided. By installing backlighting on the rear side, we were able to emphasize the target parts for imaging and detection. Since parts near the outer edge can appear differently at an angle, we used a 25mm lens to capture images from as high a position as possible (ensuring the entire tray is visible in the field of view). Using EasyInspector's "presence or absence of specified color" and "detection size judgment function," we counted the parts (rings) of the target size to determine pass/fail based on quantity.

  • 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.

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[AI Image Inspection Case] Remote Meter Reading

[AI Image Inspection Case] Remote Meter Reading

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

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

  • 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."

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[AI Image Inspection Case] LED Lighting Inspection on Circuit Board

[AI Image Inspection Case] LED Lighting Inspection on Circuit Board

We will conduct inspections of LED lighting on the circuit board using AI image inspection software.

Samples were sent from the comprehensive processing manufacturer. A simple verification was requested to determine whether the brightness at "DC14.4V is OK" and "DC9.0V is NG" can be distinguished. It was requested that if even one LED is dim during the inspection of multiple units at once, it should be judged as NG. 【Inspection Settings and Results】 We conducted an inspection to verify the brightness difference by powering at DC14.4V and DC9.0V, and we are reporting the results. The inspection was possible using the "Presence/Absence Inspection of Specified Color" feature of EasyInspector. We adjusted the lens aperture and exposure time for imaging and conducted the inspection in an environment where differences were easy to discern. By making the entire circuit board the field of view and setting inspection frames for each LED (30 units), simultaneous inspection was possible, allowing us to output which LED was NG. This time, we set the entire circuit board as the field of view and verified by applying power to one LED. The left image shows the pink inspection frame. The right image displays the green pixels detecting the specified color, while the blue color indicates the inspection frame that passed.

  • Image Processing Software

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[AI Image Inspection Case] Matching of Printed Label Numbers

[AI Image Inspection Case] Matching of Printed Label Numbers

Our inspection software includes the basic functionality of saving inspection results in CSV and image formats.

The sports equipment manufacturer has been using our inspection software overseas for some time. This time, we have questions regarding the settings for "matching numbers on label printing," "smudge detection," and "checking for the presence of instruction manuals." We have agents in Malaysia and China, and we also sell inspection software for use in overseas offices. Our inspection software includes basic functions for saving inspection results in CSV and image formats, which are useful for product management across various industries. [Inspection Settings and Results] By using the "comparison with master image" function of EasyInspector, it was possible to inspect the codes and prints on 16 labels in 0.28 seconds. In image inspection, the imaging environment is the most important factor. Regarding the reasons for a dark screen during inspection, please check the following: whether there are fluorescent lights near the inspection target (this is the most common external influence); whether there are moving machines (if there are motors using electromagnetic forces, such as AC servo motors, noise may occur); and whether there is a 100V switch (which can generate electromagnetic noise).

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