Thank you for attending the 3rd Smart Factory EXPO Autumn.

A must-see for those considering AI implementation! Streamline NG image generation and data management; preprocessing for machine learning has become surprisingly easy!

This is the ideal data management tool for manufacturers considering AI implementation. Preparing AI training data becomes easier, leading to reduced inspection time and lighter workloads. Challenges include: - Complex data management: Organizing image data is difficult, resulting in longer AI training times. - Insufficient NG data: There is a lack of defective product data, which hinders AI accuracy. - Difficult quality control: Data quality is inconsistent, causing variability in inspection results. Implementation is very simple! - Install the tool: Easy setup with cloud provision. - Upload data: Upload existing image data to the tool. - Generate NG samples: Automatically generate the necessary defective product data. - Train AI: Effectively train AI with high-quality data. Also perfect for those who have already implemented visual inspection! - Streamlined data management: Easily integrate and manage current visual inspection data. - Quality improvement: Support for evaluating and enhancing the quality of existing data. - Flexible response: Smooth integration with existing visual inspection AI. - AI validation support: Verify the performance of the AI model after implementation and assist with optimization. For more details, please refer to the 'Related Catalog' and contact us.

• Image analysis software

Attention: Improve work efficiency with the automation of image inspection! Easily and high-quality implement good product detection and defective product image generation with AI that provides understandable reasoning.

This is an AI solution designed for the manufacturing industry. It dramatically improves the automation of factory inspection tasks, enhances work efficiency, and increases the accuracy of quality control. It centralizes the generation and management of NG (non-good) data, streamlining the creation and management of AI training data. Additionally, it standardizes the skills required for inspection tasks, achieving skill-less operation. Key Features: - Intuitive operation: No need for AI expertise, easily operable by anyone. - Learning with a small amount of data: Efficient learning enables the quick construction of high-precision models. - Visualization of decision-making rationale: XAI technology clarifies the rationale behind AI decisions, enhancing reliability. - Generation and management of defective product data: Reduces the burden of data collection and optimizes quality control. Target Audience: - Production Management Department: Planning and managing production schedules, improving production efficiency, reducing defective products. - Producers: Optimizing production processes, introducing new technologies, maintaining equipment, utilizing automation technologies. - Quality Control Department: Conducting product quality inspections, detecting and addressing defective products, establishing quality assurance processes, confirming compliance with standards. - DX Promotion Department: Promoting digital transformation, implementing AI, improving operations through data analysis. - Companies that have already introduced image inspection machines and are facing issues with over-detection. *Please contact us for more information.

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

Understanding the basis and risks of AI's judgments. Capable of learning from a small amount of data. Intuitive operation without the need for AI knowledge. Achieving continuous quality management that does not end with a PoC.

The practical "visual inspection AI" for manufacturing sites allows for high-precision learning and operation from a small amount of data with intuitive operation. It is a user-friendly and effective AI tool for site managers. Target Industries: Manufacturing (semiconductors, foundry, automotive, processed foods) / Chemicals / Pharmaceuticals Target Audience: - Production Management Department: Planning and managing production, improving production efficiency, reducing defective products - Production Technology Department: Optimizing production processes, introducing new technologies, maintaining equipment, utilizing automation technologies - Quality Control Department: Inspecting product quality, detecting and addressing defects, establishing quality assurance processes, confirming compliance with standards - DX Promotion Department: Promoting digital transformation, implementing AI, improving operations through data analysis - Companies that have already introduced image inspection machines and face challenges with over-detection Main Features: - Intuitive operation: No AI knowledge required. Easy from AI model creation to operation and quality management. - Learning from a small amount of data: Domain-specific data augmentation technology generates training data tailored to the on-site environment. - Quality management through visualization: XAI technology visualizes the reasoning behind AI decisions, making model improvement easier. - Quality verification for AI: QAAI enables quality verification of data and models, visualization, and management of change points.

• Visual Inspection Equipment

Significant efficiency improvements in manual processes with the help of AI! Analyzing work processes from videos of the manufacturing site.

What is Operator Analysis? Operator Analysis AI is an innovative tool that visualizes work on the manufacturing line in real-time and recorded footage, enabling efficient production processes. It can dramatically improve productivity and quality in manufacturing settings through accurate understanding of cycle times, optimization of process flows, improvement of work actions, optimization of personnel allocation, detection of work omissions, and estimation of work loads. Benefits of Work Analysis 1. Remarkable Efficiency - Eliminates waste through detailed analysis of work processes, significantly improving work efficiency. 2. Assurance of Top Quality - Reduces work omissions and errors through consistent procedures, dramatically enhancing product quality. 3. Improved Safety - Monitors work actions in real-time, allowing for early detection and correction of risky behaviors, thereby providing a safe working environment. 4. Cost Reduction - Reduces operational costs by eliminating unnecessary work and duplication, optimizing personnel and resources. Reasons to Choose Our Products We offer AI solutions specialized for the manufacturing industry, with extensive know-how and flexible customization options. We ensure transparency with XAI and QAAI technologies, achieving intuitive operability and rapid implementation. Our pre-validation minimizes risks and guarantees high implementation effectiveness.

• Image analysis software

[For the manufacturing industry] Analyze and compare on-site work using AI video analysis – Identify bottlenecks and dramatically improve work efficiency with IE methods.

The "Operator Analysis AI" visualizes routine work on the manufacturing line using AI, enabling the understanding of cycle times, optimization of process flows, improvement of work actions, optimization of personnel allocation, detection of work omissions, and estimation of work loads. 【Optimal Operations】 - Comparison among operators: Improve consistency and efficiency of work using the ECRS (Eliminate, Combine, Rearrange, Simplify) method. - Creation of manuals: Promote the 3S (Sort, Set in order, Shine) principles. - Continuous operation: Review and optimize the 3M (Muri, Muda, Mura). 【Target Audience】 - Production Technology Department: For those aiming for process improvement and efficiency, promoting TQC (Total Quality Control) methods. - Production Management: For those wanting to accurately grasp cycle times and optimize production flows, supporting KY (Kiken Yochi) activities. - Quality Control: For those aiming to improve quality through the detection of work omissions and estimation of work loads. - DX Promotion Department: For those promoting digital transformation and aiming for work efficiency through IE (Industrial Engineering) methods. - Shipping Management: For those looking to enhance the efficiency and accuracy of the shipping process. You can view actual implementation examples and demos. *For details, please refer to the "Separate Catalog" and contact us.

• Image analysis software

Easy operation even for AI beginners! A next-generation AI platform that realizes factory automation and quality control.

This is an AI platform designed for the manufacturing industry. By using this tool, you can achieve factory automation and labor reduction, while also easily managing quality control. It supports tasks such as visual inspections and analysis of worker behavior with AI, assisting operations on the shop floor. Why it’s good: It offers intuitive operation that can be used without specialized AI knowledge. It can learn from a small amount of data, making implementation easy. Additionally, it incorporates the following advanced technologies: - XAI (Explainable AI): Clarifies the reasoning behind AI decisions, allowing users to understand AI behavior. - QAAI (Quality Assurance AI): Generates data and verifies quality while considering environmental changes and disturbances, providing a stable AI model. Why explainability and robust AI are necessary: In manufacturing environments, it is crucial to understand how AI makes decisions. XAI enhances reliability by making the reasoning behind AI decisions explicit, allowing for safe operation. Furthermore, QAAI provides a robust model capable of responding to disturbances and environmental changes, ensuring stable performance on the shop floor. *For more details, please refer to the "Related Catalog" and contact us.*

• Image analysis software

Advantech Toyo will be exhibiting at the trade show "JASIS 2026," which will be held at Makuhari Messe International Exhibition Hall. At this exhibition, manufacturers of analytical and scientific instruments will gather to showcase cutting-edge scientific and analytical systems and solutions. At our booth, we will display filter products for microbiological testing and environmental analysis, water quality testing products, pure and ultra-pure water production equipment, and culture-related equipment. Additionally, we will also showcase analytical balances from Mettler Toledo, along with equipment from other well-regarded manufacturers in the industry. Our sales and technical staff will be available to assist with product selection, so please feel free to stop by!

[Speakers] Nomura Research Institute, Ltd. Global Manufacturing Consulting Department Group Manager Hirokazu Shimo Senior Consultant Shoki Tokugawa Senior Consultant Wataru Hashimoto Consultant Masaaki Amano Consultant Tomoya Nakamura [Presentation Items] 1. Key Development Themes of Major OEMs 2. Development Approaches of Each OEM 2-1. Toyota 2-2. Tesla 2-3. Suzuki 2-4. Nissan 2-5. Honda 3. Development Approaches of Suppliers 4. Key Points for Strengthening Development Capabilities 5. Q&A / Business Card Exchange

[Speaker] Ayaka Motomura, Consultant, Business Transformation Unit, NTT Data Management Research Institute [Key Lecture Content] With the advancement of Physical AI, telecommunications carriers have the opportunity to evolve from being "companies that provide lines" to companies that connect and control AI and the physical world in real-time. This seminar will organize the changes in communication demand brought about by Physical AI and the business opportunities for telecommunications carriers, while explaining the role of AIOps as the first step towards entry. Furthermore, it will discuss strategies for monetizing in the Physical AI market by deploying the operational intelligence accumulated through AIOps to network APIs and industry-specific services, as well as the layers that telecommunications carriers should hold. [Lecture Topics] Chapter 1: The Competitive Structure of the "Real World" Rewritten by Physical AI Chapter 2: Reasons Why Opportunities for "Reversal" Arise for Telecommunications Carriers in the Era of Physical AI Chapter 3: The First Step Towards Physical AI Chapter 4: Shifting AIOps from "Defense" to "Offense" Chapter 5: The Layers to Hold in the Era of Physical AI [Q&A / Business Card Exchange]

[Instructor] Partner Ryoji Mori, Eichi Law Office [Key Lecture Content] This lecture will explain the revised Personal Information Protection Act of 2028. The three-year review this time is a major revision, and it is essential to first understand where and how the revisions have been made, as well as the overall picture of the amendments. Next, we will explain the individual amendments that are practically important. The key points are as follows, but it is important to note that both the strengthening and relaxation of obligations are occurring simultaneously, increasing overall complexity. At the time of the lecture, it is expected that subordinate laws and guidelines will not yet be published, but we will discuss points that require attention upon publication. We will distinguish between what is necessary across businesses and what varies by industry. [Lecture Items] 1. Expansion of consent exceptions: Relaxation of the difficulty of obtaining consent and expansion of academic research institutions 2. Statistical exceptions: System content and how to read complex provisions (plus learning about acceptability from controversies) 3. Strengthening regulations on biometric information and children's information: Caution required for age verification 4. Contactable personal-related information: Changes in external transmission responses 5. Review of outsourcing regulations: Addition and removal of obligations for contractors 6. Administrative fines: Narrow target range and low amounts (not worth fearing) 7. Q&A / Business card exchange

[Instructor] Innovation Analyst Andy Kondo [Key Lecture Content] *The latest content will be added (changed) as appropriate based on the on-site survey of IAA Transportation 2026.* From September 15 to 20, 2026, the largest commercial vehicle exhibition in Europe, IAA Transportation, will be held in Hanover, Germany. It is a gathering place for manufacturers of commercial vehicles such as trucks and buses, as well as the parts, energy, and software that support them, occurring every two years. The cost structure of logistics, urban transportation and the environment, energy transition, decarbonization efforts, and a microcosm of the industry will reveal the future business environment just a step ahead. In this seminar, an innovation analyst who has been observing major global exhibitions such as CES and Hannover Messe for many years will report shortly after the event based on on-site coverage. Has autonomous driving become the main focus in commercial vehicles? Where is the energy transition for large vehicles settling in terms of batteries, hydrogen, and alternative fuels? How far have Chinese companies come? Based on photos taken at the venue and observations of actual products, the seminar will delve into the implications for Japanese companies.