AI startup company Copy will exhibit at the 36th Monozukuri World Tokyo.

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

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

[Free Download] Includes Checklist: Guide to Utilizing IT Introduction Subsidies for AI Utilization

Utilize the free checklist to streamline the application process! This guide is an ideal resource for department heads and business owners who want to implement AI technology using IT introduction subsidies to reform their operations. By using detailed procedures, key points, and checklists, you can smoothly progress through the entire process from application to implementation and operation. Download this free guide now and take the first step towards business transformation with AI. 【Main Content and Features】 - Overview of subsidy utilization: The IT introduction subsidy supports a portion of the costs necessary for implementation, such as software purchases and cloud service usage fees. - Step-by-step application guide: Clearly explains the process from subsidy application to approval. A downloadable checklist helps prevent application mistakes. - Advantages and disadvantages of implementation: Discusses specific benefits of AI technology implementation and points to consider. - Specific information for target audiences: Content tailored for small and medium-sized enterprises in specific industries such as manufacturing, presenting the maximum subsidy rate and upper limit. - Target audience: Those involved in production management, quality control, and DX promotion in the manufacturing and logistics industries.

• Other inspection equipment and devices

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

Creating 3D Plots Using Igor Pro ~3D Scatter Plots and Surface Plots~ This document introduces how to create a 3D scatter plot from a point cloud data given in XYZ coordinates using Igor Pro, as well as how to create a surface plot using the same data. 1. Overview of 3D Plots 2. Operation Demo: Creating a Scatter Plot 3. Operation Demo: Creating a Surface Plot

Sekisui Filler Co., Ltd. will exhibit at the "Automotive Technology Exhibition 2026 YOKOHAMA" held at PACIFICO YOKOHAMA from May 27. (Booth number 285, within the Sekisui Chemical booth) 【Exhibited Products】 Mobility G - Re-sealable gasket HM (EV Seal 500) - Interior materials (Thermonex/Swiftlock) - Battery protection materials (EV Protect 4006SFR, etc.) Electronics / Automotive Electronics - Adhesives for camera modules - Adhesives for displays - Conformal coatings - Optical adhesives We sincerely look forward to your visit.

[Instructor] Hiroto Hayashi, Attorney at Law, New York State, Mori Hamada & Matsumoto Law Firm, Foreign Law Joint Enterprise [Key Lecture Content] Recently, batteries are expected to serve as a balancing power source for the realization of renewable energy as a primary power source. Due to changes in the business environment brought about by market development and government support measures, opportunities in the battery business are expanding. For grid-connected batteries, there are multiple options for long-term decarbonization power source auctions, tolling models, and merchant models, and the points of project development vary depending on the offtake method. Additionally, with the spread of the FIP system, the installation of batteries alongside renewable energy generation facilities is also progressing. In this lecture, we will explain the systems related to batteries, as well as key points for contract creation and negotiation, and financing necessary to steadily advance projects. We will also outline the challenges and prospects for project development and project finance formation according to each offtake scheme.

[Lecturer] Hideo Yamada, Ph.D. Honorary Professor, Waseda University Visiting Professor, Business Breakthrough University Graduate School [Key Lecture Content] Companies face various trade-offs (dilemmas) such as quality vs. cost, inventory levels vs. service levels, and standardization vs. differentiation. Traditionally, companies have responded to trade-offs by (1) finding a balance or (2) prioritizing one over the other. However, this does not lead to fundamental solutions. In this lecture, I will propose a third method that is neither balancing nor prioritizing. Using case studies from over 50 Japanese companies, I will explain it in an easy-to-understand manner. If we can turn long-standing trade-offs into trade-ons (coexistence), business opportunities will arise. [Lecture Topics] 1. What is a trade-off? 2. Trade-offs between customers and companies 3. Trade-offs within companies 4. Trade-offs within customers 5. How to turn trade-offs into trade-ons 6. Steps for exploration 7. Q&A / Business card exchange