We will exhibit at the 3rd "Smart Factory EXPO Autumn": showcasing exterior inspection AI, worker analysis AI, and data generation 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

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

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

【FAQ/Glossary】You can understand the overview of the FAQ and terminology related to the introduction of AI for difficult-to-understand visual inspections.

We will organize and provide FAQs and a glossary in an easy-to-understand manner for those considering the introduction of an appearance inspection AI system. This content is essential for companies that have already implemented appearance inspection and those that are considering doing so in the future. The appearance inspection AI system is a powerful tool designed to dramatically improve quality control in manufacturing. Our AI technology utilizes advanced image analysis and machine learning algorithms to detect defective products quickly and accurately. It achieves a highly transparent decision-making process through Explainable AI (XAI) and reliable quality assurance through Quality Assurance AI (QAAI). Furthermore, it can build high-precision models from a small amount of data using data augmentation techniques. It has the flexibility to learn from images taken with various cameras and can adapt to different imaging conditions. It maintains consistent detection accuracy even with images captured in different environments, such as those using rule-based image inspection, significantly improving factory production efficiency.

• 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

DX transformation with operator analysis AI: Visualizing work processes and converting "tacit knowledge" into "explicit knowledge." We will streamline and optimize the manufacturing process!

We will clarify the tasks in manufacturing and logistics that are prone to errors and time-consuming, and achieve appropriate personnel placement, training, workload verification, and improvement of work mistakes. To this end, we will promote the digital transformation (DX) of operations, which can enhance productivity and quality. To address issues such as labor shortages and the transmission of skills, we will utilize the "Worker Analysis AI" to smoothly implement the SECI model (Socialization, Externalization, Combination, Internalization), promoting personnel training, efficient work, and knowledge sharing. The "Worker Analysis AI" strengthens corporate competitiveness and supports sustainable growth. **The Necessity of Converting Tacit Knowledge into Explicit Knowledge** In various operations, the experience of skilled workers tends to accumulate as tacit knowledge within individuals. Converting tacit knowledge into explicit knowledge offers the following benefits: - Standardization: Ensures consistency in work procedures and quality. - Efficient Training: Enables rapid training of new employees. - Knowledge Sharing: Shares knowledge across the organization, improving performance. - Risk Mitigation: Reduces risks associated with worker transfers and resignations. - Continuous Improvement: Promotes process improvements, optimizing efficiency and costs. *For more details, please refer to the "Related Catalog" and "Other Materials" and contact us.*

• Image analysis software

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

[Free Case Study Available] Discover efficiency improvement points in the assembly processes of the world's six major manufacturers using AI! Results of the comparison between veterans and newcomers included!

Facing significant challenges in the manufacturing industry, Yokogawa Manufacturing Corporation has implemented Copy's work analysis AI, achieving remarkable results. This case study introduces the detailed processes and specific outcomes. 【Challenges Addressed】 1. Personalization of tasks 2. Issues in human resource development and technology transfer 3. Workload of operators 4. Variability in quality 【Some of the Effects of Implementation】 1. Early detection of process anomalies: Using Copy's AI technology, outliers in process cycle times were identified, uncovering process anomalies such as missed preparations for necessary parts. 2. Realization of efficiency: Waiting times for assembly equipment were identified, and efficient cart operations by veteran workers were discovered. The work efficiency of veterans and newcomers was compared, clarifying each group's strengths and areas for improvement. 3. Comparative analysis of workers: The movements of newcomers and veterans were analyzed over approximately 200 cycles, clarifying differences in work efficiency and areas for improvement. Through these initiatives, reductions in work time, improvements in quality consistency, and contributions to human resource development have been achieved, establishing new standards for productivity improvement and quality management across the manufacturing industry. For detailed case studies, specific data, and analysis results, please download and view the "Related Catalog."

• Image analysis software

[Free Case Study Available] Achieving Efficiency and Quality Improvement in Production Sites with AI! Publicizing Asahi Densou's Success Case.

Asahi Denso Co., Ltd. has introduced Confide for Factory to address important challenges faced by the manufacturing industry, achieving remarkable results. This case study presents the detailed process and specific outcomes. 【Challenges Addressed】 - Complexity of paper-based document management - Decrease in data accuracy - Difficulty in grasping real-time progress and quality data - Improvement of operational efficiency 【Some Effects of the Implementation】 - Improved operational efficiency: Reduced data entry effort, resulting in smoother and more accurate work. - Visualization and sharing of information: Real-time information sharing enables effective progress management. - Reduction in working hours: A reduction of work hours equivalent to six people per day. By moving away from paper-based document management and embracing digitalization, transparency in business processes has improved. Employee productivity has significantly increased, and errors and mistakes have decreased. Additionally, communication between departments has become smoother, strengthening the overall cooperation of the team. Confide for Factory is evaluated as an essential tool that supports digital transformation in the manufacturing industry and enhances the overall competitiveness of companies.

• Electronic documents

We would like to express our congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will be showcasing a number of products, including our new product, the Packaging Container Air Leak Test (Pin Hole Inspection) Device | MSQ-2003 series. We sincerely apologize for the inconvenience during your busy schedule, but we would like to cordially invite you to attend this event. 【 Trade Show Name 】 【 Dates 】 【 Venue/Booth Number 】

Yazaki Energy System will be exhibiting at the "14th Agricultural WEEK (commonly known as J-AGRI)" held at Makuhari Messe. In response to challenges surrounding agriculture, such as record heat and soaring energy prices, our company proposes an agricultural system that utilizes surplus solar heat and waste heat from factories during the summer to support stable cultivation throughout the year, from winter heating to summer cooling. ■ Exhibition Details (Booth Number: 25-47) <Closed-type Agricultural House> Results from the second season and initiatives for the third season <Localized Cooling in Solar-Powered Agricultural Houses> Mechanism of substrate cooling, comparison of energy consumption with spatial cooling, growth conditions this summer <Cooling and Heating with Solar Heat> Examples of crown heating and house cooling, utilization of surplus heat in summer <Cooling of Crops and Workers with Well Water> Exhibition of a prototype well water cooler and proposals for the use of cooling jackets When you visit, please be sure to stop by our booth.

We would like to inform you about the autumn and winter internship opportunities for the 2028 graduates. 1. Open Company Dates: October 23, 2026 (Friday), November 11, 2026 (Wednesday), December 10, 2026 (Thursday), January 21, 2027 (Thursday) Time: 13:30 - 15:30 Location: Online (Microsoft Teams) 2. 1-Day Job Experience Dates: November 17, 2026 (Tuesday), December 16, 2026 (Wednesday) January 15, 2027 (Friday), January 27, 2027 (Wednesday), February 4, 2027 (Thursday), February 10, 2027 (Wednesday), February 18, 2027 (Thursday) Time: 10:00 - 17:30 (tentative) Location: Takaya Corporation Headquarters (661-1 Ibara-cho, Ibara City, Okayama Prefecture)

Notice of participation in the "FOOD Expo 2026." 【Date and Time】 　November 11 (Wednesday) - 13 (Friday), 2026 　Opening hours: 10:00 AM - 5:00 PM 【Venue】 　Tokyo Big Sight 　East Hall 2, Booth Number B-36 【Exhibits】 　Cardboard insulated boxes 　Craft cooler cubes 　Vacuum insulated panel 　Pallet cubes

[Lecture Topics] 1. Co-creation Strategy to Deliver AI to the Field - Business Development and Joint Ventures in the Era of Generative AI and Physical AI Mr. Haruto Suzuki, Industrial and Regional Research Department, Development Bank of Japan 1. The Mechanism of Generative AI and Its Current Utilization by Companies 2. Expansion of the Generative AI Market and AI Infrastructure 3. Transition from Generative AI to Physical AI 4. Bottlenecks in Social Implementation and Solutions through Joint Ventures 5. Formation of an Implementation Ecosystem through Policy and Finance 6. Q&A / Business Card Exchange 2. Needs, Development Trends, Future Possibilities, and Challenges of Physical AI Mr. Kazushi Asama, Senior Researcher, Next-Generation Robot Research Organization, Waseda University / Emeritus Professor, University of Tokyo 1. What Physical AI Means 2. Needs for Physical AI and the Technological Trends of Generative AI Behind It 3. Development Trends of Physical AI 4. Future Possibilities and Challenges of Physical AI 5. Q&A / Business Card Exchange