[Thank You for Attending] Hokuriku Technology Exchange Techno Fair 2023 Exhibition Information: Displaying Appearance Inspection AI and Worker Analysis AI

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

[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

[Speaker] SOMPO Institute Plus Co., Ltd. Research Department Senior Researcher Kan Hanano, Future Vision Area [Key Lecture Content] Humanoid robots are acquiring flexible and autonomous movements through the integration with AI, and movements towards industrialization are gaining momentum in the United States and China. In this lecture, starting from a report on a visit to Shenzhen, China, which is at the forefront of humanoid development, we will confirm the emergence of the humanoid market in various countries and regions, including the United States, Europe, and Japan. Furthermore, we will examine the outlook for future industrial structures and the key issues that will influence the path of industrialization, providing perspectives to decipher the roadmap for the industrialization of humanoid robots. [Lecture Items] 1. The current state of humanoid robots 2. The current status of China's ecosystem as seen in Shenzhen 3. The situation in the United States, Europe, and Japan 4. The structure of the humanoid industry 5. Key issues influencing the industrialization of humanoids 6. Insights for Japanese companies 7. Q&A / Business card exchange

[Speaker] Hiroki Aoki, Director of the Battery Industry Division, Commerce and Information Policy Bureau, Ministry of Economy, Trade and Industry [Key Lecture Content] Since the formulation of the "Battery Industry Strategy" in August 2022, issues such as excess supply structures in the global market and supply chain risks have become apparent. There is an increasing need to provide comprehensive energy storage solutions in response to the advanced electrical control needs required in AI data centers and medical and disaster prevention sectors, which are expected to grow in the future. The Japanese battery industry must establish a manufacturing base centered around batteries, keeping in mind various competitive axes, including energy density and power density. This lecture will explain the revised "Battery and Power Industry Strategy," which aims to enhance the competitiveness of the entire power system and establish a manufacturing base to capture high value-added markets globally. [Lecture Items] 1. Goals of the Battery and Power Industry Strategy 2. Package for Expanding Domestic Base 3. Strategic Formation of Global Alliances and Global Standards 4. Securing Upstream Resources and Strengthening Supply Chain Resilience 5. Development of Next-Generation Technologies 6. Creation of Domestic Markets 7. Strengthening Human Resource Development and Retention 8. Enhancement of Domestic Environmental Infrastructure 9. Q&A / Business Card Exchange

[Speaker] Noricazu Seko, President and CEO of Servant Coach Co., Ltd. Representative Director of the 1-on-1 Communication Association [Key Lecture Content] Recently, due to changes in social conditions such as work style reforms and remote work, communication between supervisors and subordinates within organizations has decreased. In such an environment, companies face challenges such as improving employee engagement and developing autonomous talent. One area that has garnered attention is the dialogue between supervisors and subordinates, specifically 1-on-1 meetings. Currently, many companies and organizations are beginning to implement 1-on-1 meetings, but there are numerous challenges regarding sustainability and quality improvement. The key to addressing these challenges lies in the role of the subordinate. In this seminar, we will explain the points for introducing, sustaining, and improving the quality of 1-on-1 meetings, focusing on the often-overlooked role of the subordinate. [Lecture Items] 1. [Why] Why is 1-on-1 necessary now? 2. [What] What should we discuss? "Alignment 9 Box (R)" 3. [How] How should we engage in dialogue? 4. Q&A

We will be exhibiting at "Western Japan Manufacturing Technology Innovation 2026" from July 8 to July 10, 2026. We look forward to your visit.

KEL Corporation (Headquarters: Tama City, Tokyo, President: Akira Kasuga) will be exhibiting at the "Automotive Technology Exhibition 2026 NAGOYA" (June 17-19, 2026, Aichi Sky Expo). At this exhibition, we will showcase our latest technologies and products related to the mobility sector. We sincerely look forward to your visit. 1. Exhibition Overview Automotive Technology Exhibition 2026 NAGOYA Dates: June 17 (Wednesday) to June 19 (Friday), 2026, for 3 days, from 10:00 to 18:00 Venue: Aichi Sky Expo Booth Number: 262