We have compiled a list of manufacturers, distributors, product information, reference prices, and rankings for Visual inspection software.
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Visual inspection software Product List and Ranking from 19 Manufacturers, Suppliers and Companies | 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 Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Feb 18, 2026~Mar 17, 2026
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. 株式会社Roxy Aichi//IT/Telecommunications
  4. 4 藤川伝導機 Tokyo//Industrial Machinery
  5. 5 HACARUS Kyoto//others

Visual inspection software Product ranking

Last Updated: Aggregation Period:Feb 18, 2026~Mar 17, 2026
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 Image Inspection Case] Measurement of the Width of the Blade at the Center of the Drill スカイロジック
  3. AI visual inspection software "DeepSky" スカイロジック
  4. [AI Image Inspection Case] 7-Segment Display Reading スカイロジック
  5. 4 We will automate simple visual inspections such as forgetting to attach parts and the presence or absence of processing holes. エーディーディー

Visual inspection software Product List

421~450 item / All 466 items

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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.

  • Image Processing Software
  • Visual inspection software

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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.

  • Image Processing Software
  • Visual inspection software

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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)

  • Image Processing Software
  • Visual inspection software

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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."

  • Image Processing Software
  • Visual inspection software

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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.

  • Image Processing Software
  • Visual inspection software

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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.

  • Image Processing Software
  • Visual inspection software

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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.

  • Image Processing Software
  • Visual inspection software

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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].

  • Image Processing Software
  • Visual inspection software

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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)

  • Image Processing Software
  • Visual inspection software

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[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

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[AI Image Inspection Case] Inspection of Burrs and Chipping

We conducted an inspection of the burrs, chips, and protrusion shapes of the resin products for PC keyboard components. The judgment test was performed on the shapes of the protrusions at three locations and on one location for burrs and chips.

**Inspection Settings and Results** By using EasyInspector's "Comparison with Master Image" feature, inspections for four areas of burrs, chips, and shapes were possible. Backlight illumination was used to enhance the contrast between the product and the background for inspection. **Software and Equipment Used** Software Used: EasyInspector310 Field of View: 200 x 150mm Minimum Size of Inspection Target: 0.5mm Number of Inspection Points: 4 Camera Resolution: 1.3 Megapixels Lens Focal Length: 35mm Distance Between Lens and Product: 130mm Lighting: Backlight Current 'EasyInspector2' color package allows inspection with "Comparison with Master Image."

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Dimension Angle Inspection

We conducted dimensional and angle inspections using the received image as the master image.

This was an inquiry from a trading company interested in our software EasyInspector, asking whether standard features could accommodate their needs, and if not, whether customization would be possible. 【Inspection Settings and Results】 By using the "Dimension Angle Inspection" feature of EasyInspector, we measured two dimensions and made a judgment in less than one second. Inspection frame 001 measured the inner diameter of a circle (251.50 pixels), and inspection frame 002 measured the black width (59.50 pixels). In this verification, measurements were possible with standard features, and while customization can be accommodated according to customer requests, it will incur additional costs. 【Software Used】 Software Used: EasyInspector200 Number of Inspection Points: 2

  • Image Processing Software
  • Visual inspection software

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Knowledge of Visual Inspection: Five Typical Challenges of AI Image Processing and Solutions

We will clearly explain five challenges faced in AI image processing and their solutions.

We will introduce common challenges heard from customers and ways to solve them. Challenge 1) It is difficult to analyze why a judgment was incorrect. Challenge 2) I want to quantitatively determine whether the completed model is good or bad. Challenge 3) When learning, I want to visually know which items are likely to be confused. Challenge 4) I don't know when to stop learning. When does overfitting begin? Challenge 5) Defective products are not being collected for new products. *For more details, please see the related link (blog).

  • Image Processing Software
  • Visual inspection software

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[Technical Support] Application of AI Segmentation Function

We will introduce examples that combine AI segmentation with rule-based methods, as well as the unique advantages of AI segmentation.

It can be combined with rule-based functions. When trying to measure the area or dimensions of a target object within a complex background, the background interfered, making it difficult to detect edges as desired. However, by extracting the target object and binarizing it using AI segmentation, inspections have become much easier. *For more details, please see the related link (blog).

  • Image Processing Software
  • Visual inspection software

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Appearance inspection software for the manufacturing industry 'gLupe'

Detect defective products during the manufacturing process! Appearance inspection software that learns with only a small amount of normal data.

ISP's "gLupe" is software for visual inspection that applies Deep Learning. It builds artificial intelligence (AI) from a few normal data samples to detect product defects and abnormalities. Since it does not require the large-scale data collection typically associated with Deep Learning, the implementation costs can be minimized. 【Features】 ■ Software for visual inspection utilizing Deep Learning ■ Learns from only a small amount of normal data ■ Significantly reduces data collection costs ■ Capable of detecting defects that were previously difficult to identify ■ Employs unique technology that allows learning from a small amount of data *For more details, please refer to the PDF document or feel free to contact us.

  • Embedded system design service
  • Software (middle, driver, security, etc.)
  • Visual inspection software

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Development of AI for Visual Inspection

Appearance inspection by AI! Our technology simplifies the final inspection process that traditionally relies on manpower.

At Chino Technology Co., Ltd., we offer "AI Development for Visual Inspection." We are actively engaged in development that combines AI and robotics, during which we have accumulated knowledge in AI development focused on "detecting anomalies." Additionally, by combining this with "where and what is present," it is also possible to classify abnormalities. Furthermore, we also sell and accept contracts for AI preprocessing filter development software that can be used in conjunction. Please feel free to contact us. 【Features】 ■ Provides uniform judgment criteria through learning ■ Classification of NG types is possible through consultation ■ Traditional manpower tactics are streamlined by AI *For more details, please refer to the PDF materials or feel free to contact us.

  • Other inspection equipment and devices
  • Visual inspection software

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High-precision AI appearance inspection software 'Gemini eye SV'

Reduce the effort required for inspections! Simple setup and ready for immediate implementation! Compatible with various products. *Case studies available, and trial versions can also be provided.

The introduction of the appearance inspection system enables the identification of defects, but we have received many comments such as, "It's cumbersome to set up," "I'm tired of fine-tuning due to over-detection," and "I can't detect all types of defects at once." In response to such feedback, a new appearance inspection AI software called "Gemini eye SV," based on supervised learning, has been developed. You can set it according to inspection criteria such as, "If the judgment of this defect is ambiguous, it's okay to overlook it," or "I want to detect this defect more strictly," allowing for more efficient and powerful appearance inspections. It is widely available for those who want to easily try image inspection, as well as for those seriously considering deployment on actual production lines. *You can view case studies in the catalog. We also offer trial versions upon request. Please feel free to contact us.

  • Image Processing Software
  • Visual Inspection Equipment
  • Other inspection equipment and devices
  • Visual inspection software

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Automated Visual Inspection Software 'FlexInspector'

5th Video Information AWARD Gold Prize Winner! Image processing for manufacturing sites.

"FlexInspector" is application software that realizes an appearance inspection device by being installed on a computer equipped with an image input board and a digital input/output board. Programs for inspection and external control are implemented, allowing it to be used like an image sensor. 【Features】 ■ Detects "non-conforming products" ■ Simple concept that anyone can master ■ Applicable to various items ■ No need for subtle parameter adjustments ■ Complete inspection *For more details, please download the PDF or contact us.

  • Company:MJP
  • Price:Other
  • Image Processing Software
  • Visual inspection software

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Recommended model of the appearance inspection software "Roxy AI" for manufacturing sites.

You can confidently develop AI! It can quickly adapt to changes in inspection standards and manufacturing processes.

"Roxy AI" is an appearance inspection software for manufacturing sites that allows anyone to create highly accurate AI by following a unique AI creation process. With features designed for ease of use, such as one-click annotation, perception, tactile feedback, and one-click boost, it supports the AI creation process. It enables the creation of high-quality AI in a short time, making it suitable for inspection of a wide variety of small lots. 【Features】 ■ A clear process that reliably improves accuracy ■ Capable of accommodating individual requirements for integration with various manufacturing systems ■ Defect detection and product appearance inspection ■ Foreign matter contamination inspection (food products, agricultural products, clothing) ■ Residue detection for confirming the normality and presence of production equipment *For more details, please refer to the related links or feel free to contact us.

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  • Other inspection equipment and devices
  • Visual inspection software

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Recommended model for appearance inspection AI "Gemini eye"

Create AI models from several quality product learnings! Introducing an appearance inspection AI that tells you "something is different."

"Gemini Eye" is an appearance inspection software equipped with our proprietary unsupervised machine learning algorithm, allowing easy access to new AI technology. It enables a seamless process from material creation to verification and analysis within the software, and can be directly utilized in actual operations using a camera connected to a PC. The software includes sufficient support features for improving AI models, such as visualizing judgment criteria through heatmaps, graphing results, and generating detailed reports. [Features] ■ Developed leveraging our track record of providing AI appearance inspection to multiple major manufacturing companies ■ No need to collect defective products; AI models can be created from learning just a few good products ■ Seamless process from material creation to verification and analysis within the software ■ Can be directly utilized in actual operations using a camera connected to a PC ■ Equipped with sufficient support features for improving AI models, such as generating detailed reports *For more details, please refer to the related links or feel free to contact us.

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  • Other PCs and OA equipment
  • Visual Inspection Equipment
  • Visual inspection software

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Recommended Operating Models for the Manufacturing Industry Visual Inspection Software "gLupe"

Recommended model for software capable of defect detection with a small amount of data, such as a few or several dozen images.

"gLupe" is software specialized in the visual inspection of products in the manufacturing industry. Thanks to its unique high-performance engine that applies Deep Learning, it can detect defects with a small amount of training data, such as a few or several dozen images. At Applied, we handle the recommended operating models for "gLupe," which are 'CERVO-Grasta Type-IS2WIS109/Type-IS2WIS111/-Type-IS2WIS110,' so please make use of it. 【Features】 ■ Collaborative model with System Planning Institute, Inc. <gLupe> ■ Specializes in visual inspection of products in the manufacturing industry ■ Capable of defect detection with a small amount of training data, such as a few or several dozen images ■ Achieves easy operation that can be used even by those with little knowledge *For more details, please refer to the related links or feel free to contact us.

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  • Industrial PCs
  • Other PCs and OA equipment
  • Visual inspection software

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AI Appearance Inspection [RoxyAI] Function Upgrade

From human to robot for visual inspection! Introduction of features added with the version upgrade.

Would you like to start automating visual inspections, which are currently judged by human hands, eyes, and experience? Eliminate the black box! Understand by seeing and touching! Usable on-site! Introducing the AI visual inspection product 【RoxyAI】, which pursues simplicity for "on-site usability": - Determines whether defects are included in the inspection area / identifies defect types / detects unknown defects - Learns features from a small amount of training data / utilizes a unique high-speed, high-precision AI algorithm (patent pending) - Features a unique visualization technology that is easy to understand even for those unfamiliar with AI (patent pending) - Allows users to grasp weaknesses by touching and confirming AI sensitivity, making it easy for anyone without AI knowledge Our company leverages its experience in designing and manufacturing dedicated machines, inspection machines, in-factory logistics, and automation systems in the FA field to provide proposals and support for AI verification, actual machine evaluation, and automation of visual inspection processes. We also support the automation of production processes, including pre- and post-inspection processes, so please feel free to contact us first. Sanki Co., Ltd. (Atsuta-ku, Nagoya) is the official distributor of RoxyAI.

  • Visual Inspection Equipment
  • Visual inspection software

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Understanding through Comics! AI Appearance Inspection Software 'Roxy AI'

Introducing the benefits of implementing "Roxy AI" through a comic based on customer case studies!

We will introduce a case study of a customer who implemented the AI visual inspection software 'Roxy AI' in an easy-to-understand comic format. 【Case Overview】 ■Challenges: - The company's factory experienced issues with defective products being mixed in with delivered goods, leading to a full lot recall and complete visual inspection. - Similar problems had occurred multiple times in the past, making a fundamental solution urgent. ■Effects of Implementing Roxy AI: - Zero outflow of defective products. - Cost reduction through automation. *For more details, please refer to the PDF document or feel free to contact us.

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[Video Available] Appearance Inspection AI 'Roxy AI' Major Version Up!

Added features like "Attention Map" that achieve semseg with very simple annotations! Accuracy and speed have further improved!

High-precision and high-speed appearance inspection AI 'Roxy AI' has undergone its first major version upgrade! With this addition of features, we are lowering the barriers to implementing AI inspections more than ever before, achieving stabilization of inspection process quality and cost reduction. ■ Attention Map A representative method for detecting defects is semantic segmentation (hereafter referred to as "semseg"). High-performance models like Yolo have been released and are adopted by many appearance inspection AI products, but the annotation process for semseg is very cumbersome, making it a bottleneck for implementation. When the boundary between normal and defective is ambiguous, it can be difficult to annotate correctly. With the newly added proprietary 'Attention Map' in Roxy AI V2, this issue is dramatically improved. There is no need to be aware of the boundaries between normal and defective; simply clicking on the defective area is sufficient. This achieves semseg in an overwhelmingly efficient manner. ■ Learning Environment - Significantly improved detection capability for small objects in measurement AI - Official support for RTX 50 series - Support for learning on CPU - Various other improvements ■ Runtime Environment - Compatible with Keyence's LJ-S8000 - Added a group of workers to flexibly control inspection results

  • Visual Inspection Equipment
  • Other inspection equipment and devices
  • Other analytical and testing equipment
  • Visual inspection software

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HACARUS Inc.

AI Visual Inspection Solution "HACARUS Check"

"HACARUS Check" is an automation solution for visual inspection of automotive parts, combining AI software that enables easy learning with only a small number of good samples and inspection equipment that integrates various mechanisms, including robots.

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AI Visual Inspection Software

AI appearance inspection software that achieves high-precision automation of inspections. Automating appearance inspections with proprietary deep learning technology!

Preferred Networks Visual Inspection is software that achieves high-precision automation of visual inspection, which has traditionally been difficult, through its unique deep learning technology (deep learning, AI). It enables high-precision inspection with minimal training data and simple annotations, allowing for the construction of inspection systems in a short period and at low cost. Features of this product: ◾️ High precision with little data, no detailed annotations required ◾️ Intuitive learning management via GUI ◾️ Visualization of defects ◾️ Flexible and rapid system setup For inquiries, please feel free to visit the official website below!

  • Visual Inspection Equipment
  • Image analysis software
  • Image Processing Software
  • Visual inspection software

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[Customization Example] Image Inspection Using AI

To enable AI to assess features from images, we support inspections of various products! We provide photography know-how.

We would like to introduce a case study of customization conducted at KB Device Co., Ltd. By learning images of good products, we can detect "non-good products." The final judgment on "non-good products" will be made by humans, but we expect that AI assistance will lead to labor reduction and improved inspection speed. Our company, as a professional in video production, provides know-how for capturing images with cameras, which can be challenging for AI software vendors alone. Additionally, by integrating with the recording function of the recorder, traceability during events such as LOT defects becomes smoother. [Case Overview] - Detecting "non-good products" by learning images of good products. - The final judgment on "non-good products" will be made by humans, but AI assistance is expected to lead to labor reduction and improved inspection speed. - AI can solve challenges that require a high level of skill, such as the appearance inspection of complex products. - Client: A certain manufacturing company. *For more details, please refer to the related links or feel free to contact us.

  • Surveillance Cameras
  • Surveillance Camera System
  • Other security and surveillance systems
  • Visual inspection software

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"AI Visual Inspection in Agriculture" enables automation with image inspection software.

Free from manual work! Detecting defects such as scratches and automating difficult grade sorting with AI image inspection!

Do you have any of these concerns? ■ It takes a lot of time for manual work ■ Grade classification is difficult, leading to oversights in visual inspections ■ Relying on hired labor increases labor costs ■ While skilled workers are aging, there are no successors Automate with image inspection software! 1) The defect detection tasks that were done manually can be automated ⇒ Detect scratches, discoloration, dirt, etc., and reduce work time! 2) Difficult grade classification can be easily done by anyone ⇒ Various rules can be used for differentiation! Free yourself from manual work! 3) Operate from a single computer! Start at a low cost ⇒ Significantly reduce implementation costs! Keep the number of workers to a minimum and reduce labor costs! Prevent oversights in visual inspections and enhance quality value! You can start small without the need for large machinery! 【Inspection Examples】 ■ Classification of tomatoes by size ■ Classification of flower types ■ Identification of corn seeds ■ Differentiation of tea leaf types ■ Inspection of orange blemishes ■ Detection of defects in coffee beans *For more details, please see the related links.

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  • Visual Inspection Equipment
  • Visual inspection software

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[AI Image Inspection Case] Inspection of black spots, scratches, and shorts on connectors.

We will conduct inspections for black spots, scratches, and shorts on connectors using AI image inspection software!

A manufacturer of high-performance precision plastic molds and press molds has contacted us through our website to automate visual inspection. On our website, you can download the 60-day free trial software of EasyInspector and try out DeepSky's web version. Please check it out. 【Inspection Settings and Results】 We submitted the results for both EasyInspector and DeepSky. Considering the variability in the pad suction process and the uncertainty of where defects may appear on the parts, it is likely that DeepSky is more suitable for this situation. The web trial version of DeepSky only allows you to find what you have taught it. If you would like to verify the OK/NG judgment, we can lend you the full version for free. 【Software Used】 Software used: EasyInspector, DeepSky Learning Edition Number of inspection points: 1 location, finding defects from the entire screen.

  • Image Processing Software
  • Visual inspection software

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[AI Image Inspection Case] Inspection of Silver Wire Glass

It determines the detection of defects and smudges in silver paste conductive bonding!

Sintering with silver paste causes less damage to the materials compared to soldering, and it can be said that this material will be used more widely in the future as a substitute for solder. 【Inspection Settings and Results】 By using the "Scratch and Defect Inspection" feature of EasyInspector, we were able to detect both chipping and smudging in 0.40 seconds by applying one inspection frame to the entire area. The size (resolution) per pixel is approximately 7μm (0.007mm). In actual operation, our "sm@rtROBO" is used to move the inspection area while being inspected by a single camera. 【Software and Equipment Used】 Software Used: EasyInspector Field of View: 14 mm Minimum Size of Inspection Target: Approximately 7μm (0.007mm) Number of Inspection Points: 1 Camera Resolution: 5 million pixels Lens Focal Length: Not recorded Distance Between Lens and Product: 95mm Lighting: Backlight illumination The current 'EasyInspector2' color package can be used for [Scratch and Defect Detection].

  • Image Processing Software
  • Visual inspection software

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