[Thank You for Attending] Report on the 9th Monozukuri World [Nagoya]: Exhibited Appearance Inspection AI, Worker Analysis AI, and Production Management Solutions.

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

This webinar will focus on Restek's newly announced GC column "RMX Series," explaining the analytical performance achieved through the latest passivation treatment technology and approaches to solving challenges in sample analysis that includes complex matrices. We will introduce the unique features of the new column format specific to the RMX Series and practical points for trace analysis, along with analysis examples using actual samples. We will also concretely present the applicability to routine analysis through actual case studies using the RMX Series. (External speaker: Mr. Eduardo from Weck Laboratories / Japanese dubbing) What you will learn in this webinar: - The features of the advanced passivation treatment technology adopted in the RMX Series GC columns and its analytical advantages. - The concepts for achieving high-sensitivity analysis at trace levels for a wide range of components, including acidic, basic, and neutral compounds. - Common challenges faced in complex sample analysis and solution approaches utilizing the RMX Series. - How selecting the optimal GC column format, including the RMX Series, can lead to improvements in analytical efficiency and lab operations.

We would like to extend our heartfelt congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will showcase a variety of products, including new ones. We sincerely apologize for the inconvenience during your busy schedule, but we would like to invite you to attend this event. 【 Exhibition Name 】 27th INTERPHEX Week Tokyo https://www.interphex.jp/tokyo/ja-jp.html 【 Dates 】 July 9 (Wednesday) - 11 (Friday), 2025 10:00 AM - 5:00 PM 【 Venue 】 Tokyo Big Sight (3-11-1 Ariake, Koto-ku, Tokyo 135-0063)

[Speaker] Shogo Yakame, Expert Consultant, Urban Innovation Consulting Department, Nomura Research Institute, Ltd. [Key Lecture Content] In recent years, the space business has garnered significant attention both domestically and internationally. In particular, a new large fund, the "Space Strategy Fund," has been launched in Japan, and the space industry has been selected as one of the 17 key investment areas highlighted by the new administration under Prime Minister Takaichi. In light of these developments, the movement for new entrants into the space business is accelerating; however, voices expressing difficulties in launching and promoting new businesses due to the complexity of the industry structure, high entry barriers, and the current immaturity of the market are not uncommon. This lecture will specifically address the mindset when entering the space business from other industries, as well as the challenges that are likely to be encountered, explaining how to perceive and engage with the space business. [Lecture Items] 1. Overview of recent space business 2. Case studies of new entrants from other industries 3. Understanding the space business as a new venture 4. Challenges and points to consider in business planning and promotion 5. Summary 6. Q&A and exchange of opinions with participants / Business card exchange

[Speaker] Director Yuya Sato, Innovation Management Co., Ltd. [Purpose] Even in today's highly uncertain environment, the fact remains that research and development investments aimed at the future continue to be a source of competitive advantage for companies. By envisioning a desired future based on future hypotheses, we can translate that vision into actionable plans and adapt them flexibly to changes in the environment. To make effective research and development investments, it is necessary to execute this entire series of processes at a high level, and the roadmap is positioned as a management tool that supports this. In this seminar, based on approximately 15 years of consulting experience in formulating and executing technology strategies in the manufacturing industry, including the automotive sector, we will introduce specific methods and case studies on the development and effective use of technology roadmaps. The case studies will also explain the examination processes using generative AI, which has been increasingly utilized in recent years. Additionally, we will discuss the challenges many companies face in implementing and operating roadmaps, as well as solutions to those challenges.

Henkel Japan Co., Ltd.'s General Manufacturing & Maintenance Division will exhibit at the 25th SMART ENERGY WEEK [Spring] held at Tokyo Big Sight from March 17 (Tuesday) to March 19 (Thursday), 2026, within the "H2 & FC EXPO [Spring] - 25th [International] Hydrogen and Fuel Cell Exhibition." We will introduce innovative adhesive and sealant solutions compatible with hydrogen from Loctite and conduct application demonstrations. <Exhibited Products and Technologies> ■ [Hydrogen Compatible] Sealants for Hydrogen-Compatible Metal Piping: LOCTITE 567, LOCTITE 577, LOCTITE 638 ■ [Hydrogen Compatible] Flange Sealants: LOCTITE 510, LOCTITE 518, LOCTITE 574 ■ Adhesives for Preventing Screw Loosening: LOCTITE 243, etc. <Exhibitor Presentation> March 17, 2026 (Tuesday) 14:30 - 15:00 "Supporting a Hydrogen Society with 'Invisible Technology' - The Future of Hydrogen-Compatible Sealants and Adhesives" @ West 2-B (Hydrogen Energy Utilization Seminar Venue) <Henkel Japan Booth Number> W16-20 (West Hall 2) *There will be presentations within the booth and visitor benefits.