[Thank You for Attending] Report on the 8th Smart Factory EXPO: Exhibition of Appearance Inspection AI and Worker Analysis AI

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

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

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

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

Yamawa Manufacturing Co., Ltd. will exhibit at "JIMTOF 2026, the 33rd Japan International Machine Tool Fair," which will be held at Tokyo Big Sight from October 26 (Monday) to October 31 (Saturday), 2026. We will be showcasing two new products from our highly acclaimed ultimate professional tool "Z-PRO," optimized for machining! Don’t miss this opportunity to visit our booth. 【Highlights】 We will display two new products from the "Z-PRO" brand. We have prepared many short videos to solve tapping troubles! We will thoroughly explain examples of failures and successes in tapping. Live demonstrations using the precision tapping machine 'TTTsystem' will be available.

[Speaker] Masanori Hayashi Evangelist, NTT Docomo Business, Inc. Visiting Researcher, GLOCOM, International University [Key Lecture Content] The application areas of AI are expanding from generative AI to AI agents and physical AI, while the main battlefield of AI infrastructure is shifting from learning-centric to inference-centric. Against the backdrop of rapidly growing AI demand, investments and entries into AI data centers by various businesses are accelerating. However, new challenges are emerging, such as increasing power and cooling demands, responses to data sovereignty, and the utilization of GX strategy regional systems for data center aggregation. This lecture will overview the latest trends in the AI data center market and investment trends, as well as organize technological innovations such as GPUs, liquid cooling, and all-optical networks, along with policy and institutional trends and industrial challenges. Furthermore, it will envision the future of a decentralized AI infrastructure that connects AI factories, data centers, and the edge, and discuss new industrial foundations and future competitive axes through watt-bit collaboration.

[Speaker] Ren Taro Hayashi, Senior Manager, Environmental, Energy, and Resource Strategy Group, Research and Consulting Division, Japan Research Institute, Ltd. [Lecture Items] 1. Overview of Data Centers 2. Impact of Data Centers on the Power Industry 3. Policy Trends in Data Centers and Power (1) GX2040 Vision (2) Watt-Bit Collaborative Public-Private Discussion (3) GX Industry Location Working Group (4) Japan Growth Strategy 4. Future Approaches to Power Procurement for Data Center Development 5. Q&A / Business Card Exchange

This year, we will be holding the large exhibition "Wood and Living Expo" organized by Nice! Approximately 150 domestic housing and building material manufacturers will gather to showcase the latest equipment and noteworthy new products. Additionally, many specialized seminars will be held to learn about the latest industry trends and future outlooks! It will be a two-day event filled with business tips and seeds for new proposals. We sincerely look forward to your visit. ■ Dates: October 15, 2026 (Thursday) 10:00-17:00 October 16, 2026 (Friday) 10:00-16:00 ■ Venue: Pacifico Yokohama, Hall C&D ■ Organized by: Nice Co., Ltd., Wood and Housing Research Association, and the Trustworthy Renovation Promotion Association ■ Official website: https://woodlivingfair.jp/ ■ Pre-registration: https://www.tenjikai-uketsuke.com/form/wood-living-expo-2026/ *Pre-registration is required for attendance. When registering, please select "R&D Center" as the Nice department.

In November 2025, the revised "Good Manufacturing Practice (GMP) for Medical Devices" in China will be announced, with implementation scheduled for November 2026. Local experts will provide a clear explanation of the key points for compliance. < Seminar Topics > - Overview of China's new GMP - Differences from ISO 13485:2016 - New requirements that require particularly careful measures - Anticipated inspection styles