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

Our company will be exhibiting at the "JECA FAIR 2026 - 74th Electrical Construction Industry Exhibition" held at Tokyo Big Sight from May 27 (Wednesday) to May 29 (Friday), 2026. At this exhibition, we will introduce products such as the coreless current sensor (for reference), the "PAL-Plus typeE / PAL-Plus typeE2" suitable for simple electric power measurement in factories and facilities, and the management software "CEW-M4" that visualizes and manages power consumption and surplus capacity of equipment. 【Main Exhibited Products】 - Wire-wound coreless current sensor (for reference) - PAL-Plus typeE / PAL-Plus typeE2 - CEW-M4 Please take a look at our solutions that are easy to implement even in confined spaces or where power outage work is to be avoided, and that help solve on-site challenges. We sincerely look forward to your visit.

Dear Sir or Madam, We hope this message finds you well and that your company continues to prosper. FUKUDA will be exhibiting at the 28th INTERPHEX Week Tokyo. At the exhibition, we will be showcasing 100% inspection equipment compliant with Container Closure Integrity Testing (CCIT) standards, as well as sampling inspection machines. We sincerely invite you to visit our booth at this opportunity and would greatly appreciate your attendance despite your busy schedule. Yours sincerely, [Dates] May 20 (Wed) - 22 (Fri), 2026 10:00-17:00 (JST) [Venue] Makuhari Messe, Japan 8 Hall Booth No. 41 - 36

[Speaker] PwC Consulting LLC PwC Intelligence Manager Toshinori Tomizawa [Key Lecture Content] The defense industry is gaining attention as a field for growth strategy consideration, while also facing constraints such as declining birth rates, supply chain vulnerabilities, and uncertainties in business continuity. This lecture will reframe the defense industry not merely as a supplier of equipment but as an industrial structure that includes technology, supply chains, and economic security, based on the published report "Environmental Changes Surrounding the Defense Industry and Corporate Choices." It will then present the potential for Japanese companies to participate and the criteria for decision-making, centered around the "International Supply Model," which consists of three forms: export of completed equipment, international joint development and production, and regional maintenance hubs. [Lecture Items] 1. Environmental changes surrounding the defense industry 2. Structural constraints faced by Japan's defense production and technology base 3. "International Supply Model" based on international cooperation 4. Potential for Japanese companies to participate in the defense sector 5. Criteria for decision-making regarding involvement in the defense sector 6. Future outlook for the defense industry and choices required from companies 7. Q&A / Business card exchange

[Instructor] Kyoko Kawasaki, President and CEO, First Innovatec Co., Ltd. [Key Lecture Content] This seminar will explain the thinking necessary to enhance the quality of decision-making in research and development themes. In recent years, while the importance of research and development investment has increased, challenges have emerged where traditional cost-effectiveness and numerical indicators are insufficient for evaluation, particularly when the applications and markets for technology are uncertain. In such situations, it is crucial to not only gather data but also to reassess the "perspective on decision-making," including what to capture, how to interpret it, and under what conditions to make judgments. In this seminar, we will organize the basic structure of evaluation centered on the relationships between technology, applications, and markets, and discuss the factors that distort decision-making as well as the thought processes for making judgments on themes with high uncertainty. Additionally, we will address how to compare and select multiple research and development themes from various perspectives and how organizations should design their decision-making processes. The aim is not merely to introduce evaluation methods but to clarify what perspectives should be held in actual decision-making, thereby contributing to the improvement of the quality of judgment regarding research and development investments within one's own company.

Henkel Japan Corporation, the Japanese subsidiary of the German chemical and consumer goods manufacturer Henkel (Headquarters: Shinagawa, Tokyo; President: Seiji Asaoka), will exhibit at the "Automotive Engineering Exposition 2026 YOKOHAMA" to be held at Pacifico Yokohama from May 27 to 29, 2026 (the entire event, including the online ONLINE STAGE 1, will run from May 19 to June 9, 2026). At the Henkel Japan booth, we will conduct a peeling demonstration of our developed product "Easily Disassemblable Adhesive (Electric Type)" for EV batteries. For automotive parts, we will display a range of products including new offerings for display, substrate protection, EMI countermeasures, and for vehicle bodies, we will showcase inserts for BEVs, as well as proven products used by OEMs and parts manufacturers, along with many of our latest developments. Under the theme "Driving for a sustainable future," we will introduce the latest material solutions that enhance the safety and reliability of vehicles while considering environmental impacts.