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Visual Inspection System Product List and Ranking from 37 Manufacturers, Suppliers and Companies | IPROS GMS

Last Updated: Aggregation Period:Oct 14, 2026~Nov 10, 2026
This ranking is based on the number of page views on our site.

Visual Inspection System Manufacturer, Suppliers and Company Rankings

Last Updated: Aggregation Period:Oct 14, 2026~Nov 10, 2026
This ranking is based on the number of page views on our site.

  1. エーディーディー Kyoto//software
  2. 浅原技研 岐阜本社 Gifu//Testing, Analysis and Measurement
  3. 三共精機 本社 Kyoto//Trading company/Wholesale
  4. 4 テクノス Tokyo//Industrial Machinery
  5. 5 フロンティアシステム Shiga//Testing, Analysis and Measurement

Visual Inspection System Product ranking

Last Updated: Aggregation Period:Oct 14, 2026~Nov 10, 2026
This ranking is based on the number of page views on our site.

  1. A system for inspecting films and paper that are transported at high speed in a roll-to-roll manner. エーディーディー
  2. Appearance inspection using damage detection mode.
  3. Case Study of Automated Visual Inspection: Inspection Case of Cast Metal Parts エーディーディー
  4. 4 Development of an "Appearance Inspection System" to replace visual full inspection. 浅原技研 岐阜本社
  5. 5 Case Study of Automated Visual Inspection: Inspection Example of Small Metal Circular Parts エーディーディー

Visual Inspection System Product List

91~120 item / All 130 items

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Cost Reduction of Inspection Processes through AI Visual Inspection *Includes Example Report

Detecting product scratches, dents, and poor joints! We have developed high-precision AI to contribute to the efficiency of inspection operations.

Based on our extensive experience in designing inspection equipment for the manufacturing industry, we propose AI visual inspection systems tailored to your needs. Instead of visual inspections for scratches, dents, and poor joints on various products, we conduct efficient inspections through automatic judgment using AI. To develop high-precision AI, we analyze object recognition and detection errors using deep learning, and we carry out verification and improvements from various angles, including camera types, shooting environments, and product shapes. We also propose product designs for AI, making every effort to ensure there are no concerns about accuracy. Currently, we are offering a digest version of our AI visual inspection report. For more details, please download the materials or contact us through our company website.

  • Visual Inspection Equipment
  • Visual Inspection System

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[Column] Key Points for Automating Visual Inspections

Prevention of human error! Automated inspection using image sensors and image processing systems.

There are generally two types of visual inspection: "manual inspection" conducted by the human eye and "automated inspection" utilizing image sensors and image processing systems. While manual inspection can be easily performed, it has the disadvantages of human error and variability in judgment criteria. The key to automating inspections is to clearly define where in the process, what needs to be inspected, and at what speed. If you consult with us, we will provide proposals tailored to your inspection targets and the scope and items for automation. **Benefits of Automating Visual Inspections (Excerpt)** - Assurance, maintenance, and improvement of quality - Improvement of production lines - Increased yield - Reduction in labor - Space-saving *For more detailed information, please refer to the related links. Feel free to contact us for more details.*

  • Visual Inspection Equipment
  • Visual Inspection System

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[Free Offer] Comprehensive Coverage of Basic Knowledge with FAQ and Glossary on Appearance Inspection AI

【FAQ/Glossary】You can understand the overview of the FAQ and terminology related to the introduction of AI for difficult-to-understand visual inspections.

We will organize and provide FAQs and a glossary in an easy-to-understand manner for those considering the introduction of an appearance inspection AI system. This content is essential for companies that have already implemented appearance inspection and those that are considering doing so in the future. The appearance inspection AI system is a powerful tool designed to dramatically improve quality control in manufacturing. Our AI technology utilizes advanced image analysis and machine learning algorithms to detect defective products quickly and accurately. It achieves a highly transparent decision-making process through Explainable AI (XAI) and reliable quality assurance through Quality Assurance AI (QAAI). Furthermore, it can build high-precision models from a small amount of data using data augmentation techniques. It has the flexibility to learn from images taken with various cameras and can adapt to different imaging conditions. It maintains consistent detection accuracy even with images captured in different environments, such as those using rule-based image inspection, significantly improving factory production efficiency.

  • Image analysis software
  • Visual Inspection System

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Replace visual inspection with AI! Appearance inspection AI 'TDSE Eye'

The appearance inspection AI system using good product learning achieves efficiency and cost reduction in parts inspection, food inspection, and equipment inspection!

Our company has been solving various challenges through an appearance inspection system utilizing AI. We can automate inspections and checks that relied on human eyes, such as equipment maintenance and product quality verification, leading to increased efficiency and cost reduction. TDSE has a proven track record of supporting data utilization across various industries. For example, in the equipment maintenance of a major power company's transmission and distribution network, AI has significantly shortened the inspection time for transmission lines spanning approximately 14,500 kilometers. We have achieved results such as reducing costs that were previously incurred through visual inspections. In recent years, we released the appearance inspection AI system 'TDSE Eye,' which can be built by training it with just a small number of normal images (images of good products). With the AI model built on the cloud, a high-performance anomaly detection AI is always available, allowing for easy system implementation and operation without specialized knowledge. *Various materials such as "Examples of AI-based appearance inspection," "TDSE Eye product documentation," and "Technical explanation materials" can be viewed immediately via PDF download.*

  • Company:TDSE
  • Price:Other
  • Visual Inspection Equipment
  • Visual Inspection System

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JTG Lab

The first step towards automating visual inspections – Please consult us about imaging and AI verification –

At JTG Lab, we provide "imaging verification," which serves as the basis for decision-making in AI visual inspection automation, and "AI learning verification," which uses images to actually conduct AI training and verify whether the AI can learn the criteria for determining good or bad quality. Depending on your needs, we can also propose a complete set of equipment for fully automated or semi-automated solutions after these verifications. 【What JTG Lab Can Do】 ■ Imaging Verification We prepare various industrial cameras and lighting to verify whether it is possible to capture images of the products to be inspected and the defects to be detected. We check the imaging environment to ensure that the AI can easily learn and judge the products and defects we have discussed in advance. ■ AI Learning Verification By using images obtained from imaging verification or images that you already possess, we train the AI to learn the characteristics of normal and defective items, verifying whether it can make correct judgments. ■ Verification with Existing Equipment Typically, imaging verification is conducted on a desktop, but for some products, imaging can only be done within existing production lines. In such cases, we will install cameras and lighting in locations within the actual production line where imaging is possible to conduct the verification.

  • Company:JTG
  • Price:Other
  • Visual Inspection Equipment
  • Visual Inspection System

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Concept of inspecting defects on film and coating surfaces.

Defect inspection of coating films | Striations, pinholes, foreign objects, unevenness

Defect inspection of film and coating surfaces determines the lighting method based on whether you want to see streaks, pinholes, foreign objects, or unevenness. Holes are viewed with transmitted light, foreign objects with both reflected and transmitted light, and streaks and unevenness with angled or diffused light. If you want to quantify the height of foreign objects or the unevenness of streaks, consider using 3D imaging. The thickness of the coating itself does not appear in images, so it should be combined with dedicated measurement methods. [Key Points] - The lighting method varies for each type of defect. - Holes and foreign objects are easier to see in 2D, and the thickness of the film itself does not appear in images. - The moving sheet is not stopped; it is captured line by line with a line camera. *For detailed explanations, please refer to the technical notes and downloadable materials in the related links.

  • Visual Inspection Equipment
  • Defect Inspection Equipment
  • Contract Inspection
  • Visual Inspection System

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The concept of automating appearance inspection for a variety of small quantities.

Automation of appearance inspection for multiple varieties in small quantities: A concept to reduce the hassle of variety changeover.

In the case of multi-variety, small-quantity appearance inspections, we design by separating the common parts from the parts that change for each variety, rather than creating separate devices for each variety. The method of lighting and capturing images is standardized, and only the criteria and settings for judgment are switched according to the variety. If the differences between varieties are too large, we narrow the scope of automation. 【Key Points】 ■ We design by separating the common parts from the parts that change for each variety. ■ The effort required for switching is determined by how the settings are maintained and the fixtures used. ■ When there are significant differences between varieties, we limit the varieties that are automated. *For detailed explanations, please refer to the technical notes and downloadable materials in the related links.

  • Visual Inspection Equipment
  • Contract Inspection
  • Image Processing Equipment
  • Visual Inspection System

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AI visual inspection is determined by how it is captured before AI.

The reason why AI appearance inspection is determined by the way it is captured before AI.

The results of AI visual inspection are often determined more by how defects are represented in the images than by the type of AI used. AI is a tool for finding differences that are present in the images; it cannot detect differences that are not visible. First, determine the direction of light, the position of the camera, and the arrangement of the workpiece, and then create images where defects stand out from the background before using AI. 【Key Points】 ■ AI can only detect differences that are present in the images. ■ First, look for lighting and camera positions that make defects stand out. ■ Once the shooting method is decided, the part that can be left to AI becomes smaller. *For detailed explanations, please refer to the technical notes and downloadable materials in the related links.

  • Visual Inspection Equipment
  • Defect Inspection Equipment
  • Image Processing Software
  • Visual Inspection System

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Automation of quality inspection! AI appearance inspection system 'Night Checker'

【Labor Shortage / Automation Support】Easily streamline the quality inspection of parts with fewer personnel! It is now possible to implement with reduced initial and running costs!

In recent years, the use of AI in appearance inspection systems has advanced, enabling the automation of complex discrimination and recognition compared to traditional methods. However, challenges such as "high costs," "long delivery times," and "difficulty in obtaining training data for AI models" exist when implementing these systems. The "Night Checker" may be able to solve such concerns. Developed by Tinet Japan, the "Night Checker" is an AI appearance inspection system that keeps implementation and running costs low. 【Features】 - Achieves low-cost and short delivery time implementation through a packaged configuration that includes basic functions in advance. - Utilizes 3DCG technology to create digital twin data that closely resembles the actual product. By using this for AI model training, it significantly reduces the training period. - Equipped with a foundation for integration with cameras, rejection devices, MES/ERP systems, etc., allowing for flexible system integration. *For more details, please refer to the materials. Feel free to contact us with any inquiries.

  • Visual Inspection Equipment
  • Visual Inspection System

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[Event Closed] AI Visual Inspection is Not Just "Detect and Done"

- A method to identify defect factors from inspection data and link them to process improvements -

[Free Participation for Manufacturing Industry] AI Visual Inspection is Not Just "Detect and Done" A Method to Identify Defective Factors from Inspection Data and Improve Processes In manufacturing sites, there are various challenges in the inspection process, such as labor shortages, skill transfer, and variability in visual inspections. While the use of AI visual inspection is advancing to address these challenges, simply determining good and defective products with AI does not lead to process improvement. What is important is to accumulate and analyze inspection data to clarify "when, where, and why defects are occurring." In this seminar, we will introduce the basics of AI visual inspection, analyze the causes of defects using inspection data, and provide methods for improving upstream processes and preventing recurrence, along with specific examples. *For more details, please feel free to contact us.

  • Company:Trust
  • Price:Other
  • Other appearance and image inspection equipment
  • Seminar
  • Visual Inspection System

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AI Visual Inspection System KE-VJM-AI Series

It is an AI visual inspection system equipped with AI software that is expected to achieve learning effects through deep learning.

This is an advanced appearance inspection system equipped with the optimal AI software from deep learning-based image analysis software designed for machine vision. Traditionally, inspections that were too complex or labor-intensive and conducted through human visual inspection can now be performed using this system, which offers an unprecedentedly effective inspection by merging machine vision and human vision. 【Equipped with Comprehensive Features】 This is a model of the defect inspection system 'KE-VJM Series' that incorporates deep learning capabilities. ● Fusion of PC-based machine vision and image processing unit ● Advanced imaging and filtering technology of the image processing unit ● Equipped with a large 22-inch display ● Inspection screens can be displayed in both vertical and horizontal orientations ● Defect detection images are displayed in real-time ● Location information of defects is displayed on a map ● Inspection data can be printed in three different patterns

  • Defect Inspection Equipment
  • Visual Inspection Equipment
  • Image Processing Equipment
  • Visual Inspection System

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Explained with examples! Challenges and limitations of visual inspection systems.

If you are struggling to meet the demands for advanced inspections, please take a look!

- Background and Challenges of Visual Inspection We summarize the current state of the image processing system market, which is expected to grow, as well as the benefits of automating visual inspections and the challenges faced during and after the introduction of inspection equipment. - Challenges in Pattern Inspection of Miniaturized Electronic Circuit Boards We will introduce our uniquely developed inspection method for pattern defects in electronic circuit boards that are becoming increasingly complex and miniaturized, making detection difficult. - Challenges in Automating Visual Inspections Requiring Multiple Optical Conditions In inspections where various defect detections are necessary for the target object, there are cases that utilize multiple lighting conditions. We will introduce inspection techniques using the latest lighting equipment. - Introduction to Image Processing Inspection URCP Image Processing Inspection URCP supports the optimization of image processing inspections from both hardware and software perspectives. We provide an all-in-one image processing inspection system tailored to our customers' needs. 1. In-house developed software (customization is also possible) 2. Selection of optical conditions and equipment tailored to various defects 3. Design, assembly, and delivery of inspection equipment according to specifications

  • others
  • Visual Inspection System

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AI Visual Inspection Solution for the Chemical Industry

AI detects foreign objects whose shape and position are not fixed, achieving short-term and high-precision appearance inspection.

In the field of the chemical industry, preventing foreign matter contamination is extremely important for maintaining product quality and ensuring safety. In particular, detecting fine foreign substances or those with inconsistent shapes and positions has limitations with traditional visual inspections, which carry the risk of oversight. This can lead to a decline in product quality and, in some cases, serious accidents. AI appearance inspection solutions utilize deep learning to generate pseudo-defective images, allowing for the rapid construction of high-precision appearance inspection AI models from a small amount of defective product data. This supports the early detection and prevention of foreign matter contamination and contributes to the stable operation of production lines. [Usage Scenarios] - Detection of foreign matter contamination on manufacturing lines - Identification of abnormal areas in product quality management - Incoming inspection of raw materials [Benefits of Implementation] - Reduction of product defects due to foreign matter contamination - Improvement in inspection accuracy and reduction in inspection labor - Strengthening of quality management systems

  • Visual Inspection Equipment
  • Inspection robot
  • Visual Inspection System

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Inspection of the surface coating condition of metal parts such as bolts using image processing.

An appearance inspection system that uses a camera to assess the coating condition for rust prevention and other purposes on the surface of metal parts.

Introduction of an image processing appearance system that inspects the implementation status of coating treatments such as rust prevention using a camera. Coating treatments are often performed in large quantities, and when inspections are conducted visually, there is a high likelihood of missing inspections. Therefore, by using automatic inspection, it becomes possible to inspect a large number of components in a short period of time.

  • Image Processing Software
  • Visual Inspection System

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A system that installs a camera on the processing line of resin molded products to conduct inspections during processing.

A fully automated inspection system that enables processing while simultaneously performing automatic inspection during the processing of resin molded products.

Generally, when conducting inspections, it is necessary to re-inspect the processed components in the inspection process. However, this system allows for inspections to be conducted while processing by installing cameras in the processing line, modifying part of the line, and adding a discharge mechanism. Since inspections are performed during the processing stage, there is no need to establish a separate inspection process, which is expected to reduce workload. Additionally, compared to creating separate inspection equipment, it can be implemented at a relatively low cost.

  • Image Processing Software
  • Visual Inspection System

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A system that partially improves the transport line for resin molded products and conducts inspections during transportation.

A testing system that installs a rotating device in the transport process of resin molded products to conduct appearance inspection of the outer peripheral area during transport.

In the side inspection of cylindrical products, it is difficult to inspect the entire side while they are flowing on the conveyor line. However, by installing a rotating device in the middle of the line and conducting the inspection there, it becomes possible to inspect the outer circumference. In this case, it allows for inspection during transport without the need to set up a separate line for the inspection device.

  • Image Processing Software
  • Visual Inspection System

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A system for automatic inspection of the appearance of tablet and similar pill products.

A system that installs cameras and lighting on the tablet transport line to inspect for defects such as scratches, cracks, and black spots.

Since tablet products are produced in large quantities, it becomes very difficult to conduct visual inspections. Additionally, while dedicated inspection equipment is high-performance, it is also quite expensive. Therefore, by installing cameras and lighting on the conveyor line and conducting inspections during transport, it becomes possible to implement automatic inspections relatively inexpensively.

  • Image Processing Software
  • Visual Inspection System

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A system that improves the transport line for roll products and conducts inspection of the end faces during transport.

A inspection system that has a mechanism for rotating the workpiece on the conveying device to perform appearance inspection of the cut surface of rolled products.

A system that performs inspections during transportation to detect defects (such as dirt or double cuts) on the cut surfaces that occur when slitting films and tapes. By conducting inspections during transportation, it becomes possible to carry out inspection tasks without the need for additional work processes.

  • Image Processing Software
  • Visual Inspection System

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"N-Vision System" that does not miss scratches in visual inspection.

Automating scratch detection in visual inspections! Reducing misjudgments and achieving high-precision inspections. A collection of case studies is currently available!

"Many scratches are missed during visual inspections..." "Judgment varies, leading to decreased production efficiency..." The image processing system 'N-VisionSystem' solves these visual inspection issues. This system selects the optimal equipment tailored to the inspection targets and work shapes, building a custom appearance inspection and scratch detection system for each customer. Before implementation, we conduct image sample evaluations and submit the results as a report, allowing you to consider the implementation with confidence. [Features] ■ Proposes scratch detection algorithms specialized for appearance inspection ■ Easy operation with a built-in app for operation guidance ■ Flexible custom solutions according to inspection content and environment ■ One-stop support from design, manufacturing, to installation We contribute to improving quality, enhancing scratch detection, and achieving efficiency and cost reduction while balancing the accuracy of appearance inspections. *For more details, please download the catalog.

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  • Other image-related equipment
  • Visual Inspection System

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[Pharmaceutical Industry] AI Implementation in Inspections 'TOKUDEN Eye System'

Easy without the need for knowledge. Newly developed AI inspection system 'TOKUDEN Eye System'.

In the pharmaceutical industry, precise inspections during the manufacturing process are required to ensure the quality and safety of pharmaceuticals. Particularly in the inspection of tablets, it is important to accurately and efficiently identify foreign matter contamination, variations in shape, and inconsistencies in coating. These defects can affect the product's efficacy and pose health risks to patients. Our "TOKUDEN Eye System" is an inspection system that utilizes AI and is easy for anyone to operate, thereby reducing the burden on the field and contributing to improved inspection accuracy. 【Usage Scenarios】 - Appearance inspection of tablets - Detection of foreign matter contamination - Assessment of coating defects - Verification of shape and size variations 【Benefits of Implementation】 - Improved inspection accuracy - Reduced inspection time - Decreased human error - Strengthened quality control system

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  • Pharmaceutical Packaging Machine
  • Visual Inspection System

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AI Visual Inspection System for Metal Processing RoxyAI

Automating surface scratch detection in metal processing with easy operation and short learning time.

In the metal processing industry, accurate detection of surface scratches and foreign object adhesion is required to maintain product quality. Particularly for products with fine scratches or complex shapes, visual inspections may overlook issues or increase the burden on inspectors. These challenges could lead to an increase in product defect rates and a decrease in customer satisfaction. RoxyAI enables the automation of surface scratch detection in metal processing by building a high-precision appearance inspection AI with simple operations. 【Use Cases】 - Surface scratch detection of metal parts - Confirmation of foreign object adhesion - Detection of paint unevenness and plating defects - Burr detection after pressing 【Benefits of Implementation】 - Improved inspection accuracy and reduced variability - Reduced inspection labor and increased productivity - Prevention of defective products from being released - Reduced burden on inspectors

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  • Image Processing Software
  • Visual Inspection System

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AI Visual Inspection System for Food Processing RoxyAI

High-precision AI inspection for detecting foreign substances in food processing with easy operation!

In the food processing industry, it is essential to reliably detect foreign substances to ensure product safety. In particular, visual inspections pose risks of oversight and increase the burden on inspectors. Foreign substance contamination can lead not only to a decline in product quality but also to potential health hazards for consumers, making countermeasures extremely important. RoxyAI enables high-precision AI inspections with simple operations, supporting the automation of foreign substance detection in food processing. 【Usage Scenarios】 - Detection of foreign substances on the production line - Quality checks of products - Automation of inspection processes 【Benefits of Implementation】 - Improved inspection accuracy - Reduction in inspection labor - Decreased human errors - Enhanced product safety

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  • Image Processing Software
  • Visual Inspection System

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AI Visual Inspection System for Semiconductor Manufacturing RoxyAI

Achieving automation of wafer inspection with easy operation and short learning time.

In the semiconductor manufacturing industry, particularly in wafer inspection, the ability to detect minute defects with high precision and speed is directly linked to product quality and yield. Overlooking even slight foreign substances or pattern defects can lead to significant issues in later processes. Therefore, there is a demand for reducing the burden on skilled operators performing visual inspections and stabilizing inspection accuracy. RoxyAI contributes to the automation and efficiency of wafer inspection by enabling the easy creation of AI models without specialized knowledge, achieving high-precision inspections in a short time with minimal data. 【Use Cases】 - Detection of foreign substances on wafer surfaces - Detection of pattern defects - Counting the number of wafers - Checking wafer sizes 【Benefits of Implementation】 - Improvement and stabilization of inspection accuracy - Increased productivity through reduced inspection time - Reduced burden on visual inspection personnel - Decrease in human errors

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  • Image Processing Software
  • Visual Inspection System

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AI Visual Inspection System for Pharmaceutical Manufacturing RoxyAI

Automating tablet quality control to achieve high-precision inspection.

In the pharmaceutical manufacturing industry, particularly in the quality control of tablets, consistency in appearance, such as uniform shape, color, and surface condition, is required to ensure the safety and efficacy of products. Minor defects, foreign matter contamination, and discoloration can lead to a decline in product quality and potential health hazards, making strict inspections essential. Manual visual inspections carry the risk of oversight due to inspector fatigue and variability. The AI appearance inspection system RoxyAI provides a highly accurate and efficient automated inspection solution to address these challenges. 【Use Cases】 - Detection of chipping, cracking, and foreign matter contamination in tablets - Inspection of color unevenness and discoloration in tablets - Consistency checks for tablet shape and size 【Benefits of Implementation】 - Improved inspection accuracy and reduction of human errors - Shortened inspection times and increased productivity - Enhanced reliability through the maintenance of consistent quality standards

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  • Image Processing Software
  • Visual Inspection System

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AI Visual Inspection System Starter Set for Electronic Components

Introducing an AI visual inspection system at a low cost! Early detection of foreign matter contamination.

In the electronic components industry, thorough elimination of foreign matter is required to ensure product quality. Contamination during the manufacturing process can lead to product defects and performance degradation, potentially undermining customer trust. AI visual inspection systems enhance quality control by accurately detecting fine foreign objects that may be overlooked during manual inspections. 【Usage Scenarios】 - Foreign matter inspection on electronic component manufacturing lines - Detection of scratches, chips, and dirt on product surfaces - Streamlining quality control in the manufacturing process 【Benefits of Implementation】 - Reduction in the occurrence of defective products due to foreign matter contamination - Strengthening of quality control through improved inspection accuracy - Reduction in time and costs associated with manual inspections

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  • Visual Inspection Equipment
  • Semiconductor inspection/test equipment
  • Inspection fixture
  • Visual Inspection System

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AI Visual Inspection System Starter Set for the Printing Industry

Introducing an AI visual inspection system at a low cost! Automatically detects misalignment in printed materials.

In the printing industry, detecting misalignment in printed materials is crucial for consistently supplying high-quality prints. Particularly in high-volume printing or high-speed printing, even slight misalignments can lead to a decline in quality or customer complaints. The AI appearance inspection system starter set contributes to the efficiency of quality management by quickly and accurately detecting misalignment in printed materials. 【Usage Scenarios】 - Inspection of misalignment in printed materials - Inspection for ink bleeding and fading - Inspection for foreign object contamination 【Benefits of Implementation】 - Reduction of defective products - Improvement in quality - Cost reduction

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  • Visual Inspection Equipment
  • Semiconductor inspection/test equipment
  • Inspection fixture
  • Visual Inspection System

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[Must-see for Appearance Inspection Personnel] Free distribution of a collection of frequently asked questions during appearance inspections!

We will provide a free document that collects frequently asked questions such as 'Is it possible to conduct inspections with a sense close to human vision?' and 'Is testing possible when introducing it?'

Are you facing any of the following issues in your visual inspection process? ■ Relying on skilled inspectors... ■ Struggling with the training and hiring of inspectors... ■ Inconsistent inspection quality... These concerns may be resolved by automating the visual inspection process. For those responsible who may have uncertainties such as "I'm worried about implementing it suddenly" or "What should I prepare?", we have created a document summarizing frequently asked questions and their answers that we often receive. To alleviate your concerns about automating visual inspections, we are offering a document that compiles many of the questions and answers we receive, free of charge. Please download it from the link below! By automating the visual inspection process, you can achieve: - Reduction in manpower and improvement of the workplace environment - Cost savings - Prevention of human errors - High precision in inspections and many other benefits. For more details, please check the PDF download or feel free to contact us.

  • Other industrial robots
  • Visual Inspection System

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A system for inspecting films and paper that are transported at high speed in a roll-to-roll manner.

A inspection system that installs a camera on a roll-to-roll transport device to conduct visual inspections during the winding process.

In the paper manufacturing, sewing, and resin film processing industries, roll-to-roll winding devices are used. A camera is installed on these devices to create a system that conducts defect inspections, such as surface dirt, during the winding process. When a defect is detected, measures are taken, such as stopping the winding device or displaying the distance from the starting position to the location of the detected defect.

  • Image Processing Software
  • Visual Inspection System

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Artificial Intelligence Inspection System for Seafood Processing "AI Hayabusa"

Never miss a flaw with AI! Supporting quality improvement in seafood processing.

The visual inspection of seafood processing products often relies heavily on human labor, which not only incurs time and costs but also presents challenges such as variations in quality due to inspector fatigue and inconsistencies in judgment criteria. Mirac Optical's "AI Hayabusa" is a system that automates visual inspection using AI (automatic learning capabilities) and image processing. It accurately detects minute defects such as scratches, achieving efficiency and stability in quality control. 【Application Scenarios】 - Visual inspection of seafood processing products (scratches, discoloration, foreign matter contamination, etc.) - Reducing the burden on inspectors and shortening inspection time - Improving inspection accuracy and stabilizing quality - Enhancing customer satisfaction 【Benefits of Implementation】 - Reduction in labor costs due to automation of inspection tasks - Decrease in the rate of defective products due to improved inspection accuracy - Increased productivity due to shortened inspection time - Enhanced efficiency in quality control through data digitization of inspection results

  • Image analysis software
  • Visual Inspection System

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[Food Industry] AI Implementation in Inspections 'TOKUDEN Eye System'

Easy without the need for knowledge. Newly developed AI inspection system 'TOKUDEN Eye System'.

In the food industry, it is extremely important to ensure product quality through the acceptance of raw materials, visual inspections on the production line, and defect detection. Therefore, it is essential to avoid overlooking product defects and maintain stable quality. However, traditional visual inspections have been susceptible to individual skills and fatigue, leading to potential variations in inspection accuracy. Our "TOKUDEN Eye System" is an AI-powered inspection system that is easy for anyone to operate, thereby reducing the burden on the field and contributing to improved inspection accuracy. 【Usage Scenarios】 - Visual inspections on the production line - Detection of product defects - Inspections during raw material acceptance - Final inspections before product shipment 【Benefits of Implementation】 - Increased efficiency in inspection operations - Strengthened quality control system

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  • Food Factory Equipment
  • Visual Inspection System

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