[Thank You for Attending] Yamanashi Techno ICT Messe 2023 Exhibition Report: Displayed Appearance Inspection AI and Worker Analysis AI

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

[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] Yuichi Murakami Director, Automotive Sector, Deloitte Tohmatsu Consulting LLC [Key Lecture Content] In the automotive industry, which is undergoing a once-in-a-century transformation, "SDV: Software Defined Vehicle" will play a central role in this change. However, the term "SDV" encompasses diverse meanings, leading to varying interpretations and resembling a buzzword. In this lecture, we will explore the true digital transformation (DX) in the automotive industry encapsulated by the term "SDV," starting from the changes in the value provided by automobile manufacturers, namely "the car (what is produced)," and including both "changes in how it is made" and "changes in how it is used." We will provide a comprehensive examination of the impact of digital technology on the automotive industry and the points of transformation. [Lecture Topics] 1. Changes in usage - Shifts in user values 2. Changes in what is produced (the car) - Software and digitalization of vehicles 3. Changes in how it is made - Software-based vehicle development 4. Changes in the supply chain 5. Changes in business viability 6. Q&A / Business card exchange

[Lecturers] Masaki Mochimaru, Fellow, National Institute of Advanced Industrial Science and Technology Masato Komiya, CEO, d-strategy, inc. / CEO, Third Ecosystem, inc. Masato Komiya, Specially Appointed Associate Professor, Data Science Research Institute, Tokyo International University [Key Lecture Content] The decrease in the labor population due to declining birth rates and aging society, along with the increasing burden of nursing care and rehabilitation, presents business opportunities. There is growing attention on the approach of "human augmentation," which not only involves complete automation through AI and robots but also enhances human capabilities. In particular, the "interverse" business, where people connect with virtual spaces to transcend time and space constraints and extend value into the real world, is expected to thrive. The lecture will introduce the latest trends through examples of collaboration with companies and national projects. [Lecture Items] 1. Human Augmentation 2. XR 3. Service Transformation in Manufacturing 4. Metaverse 5. Virtual Economy 6. Q&A / Business Card Exchange

[Speaker] Abeam Consulting Co., Ltd. Supply Chain Sustainability Unit Principal Shiro Komatsu Digital Technology Business Unit Artificial Intelligence Leap Sector Senior Expert Miho Yoshida [Key Lecture Content] In response to the rapid changes and complexities in the current business environment, procurement organizations need to break away from their downstream positioning and become a strategic function that leads company-wide reform and corporate value. This seminar will redefine the ideal state that procurement should aim for and the challenges that need to be overcome, introducing the possibilities of business reform utilizing AI agents/solutions along with specific case studies. We will explain the latest AI capabilities such as automated quotation assessment and automated delivery date adjustments, clarifying what your company should do now to strengthen procurement in light of your current situation. [Lecture Items] 1. The ideal state that procurement should aim for and the current situation - Case studies of procurement reform 2. What AI agents/solutions can achieve - Including case study presentations 3. Towards realizing the strategic function of the procurement department 4. Q&A / Business card exchange

[Speaker] Tadakazu Arakawa, Professor Emeritus, The University of Tokyo / Vice President, World Wind Energy Association [Key Lecture Content] After an overview of wind power generation, the latest information on the business trends and technological developments of offshore wind power generation, which has become one of the main power sources, will be explained. Based on the Renewable Energy Sea Area Utilization Act, operators have been determined for offshore wind power projects up to Round 3, and there has been significant progress in expanding into vast Exclusive Economic Zones (EEZ). On the other hand, due to international material shortages and rising prices stemming from issues like the Ukraine crisis, some operators have expressed the possibility of withdrawing from projects. In Japan, where there are no wind turbine manufacturers, discussions will be held on the healthy development and dissemination of offshore wind power towards the carbon neutrality policy by 2050. [Lecture Items] 1. Introduction to Wind Power Generation 2. Current Status of Offshore Wind Power Generation 3. Offshore Wind Power Projects Based on the Renewable Energy Sea Area Utilization Act 4. Technology and Wind Turbines in Offshore Wind Power Generation 5. Project Formation and Regional Promotion of Offshore Wind Power Generation 6. Progress of Japan's Offshore Wind Power Generation Aiming for Carbon Neutrality 7. Q&A / Business Card Exchange

The Management Game (MG) is a practical educational training program developed by Sony in 1976. It has a track record of approximately 5,000 companies and 1 million participants, primarily among large corporations. Through corporate management simulation (experiential learning), it enhances numerical ability and strategic thinking. Each participant takes on the role of a business owner, managing the company from its founding to its operation. They practice a series of management cycles, including decision-making, result analysis (financial statements), and planning. Participants not only create P/L and B/S but also learn strategic accounting (criteria for profit generation), conduct management analysis, and draft the next management plan (strategic plan). The program combines "practical exercises" and "lectures" to achieve high learning effectiveness.