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

We would like to extend our heartfelt congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will showcase a variety of products, including new ones. We sincerely apologize for the inconvenience during your busy schedule, but we would like to invite you to attend this event. 【 Exhibition Name 】 27th INTERPHEX Week Tokyo https://www.interphex.jp/tokyo/ja-jp.html 【 Dates 】 July 9 (Wednesday) - 11 (Friday), 2025 10:00 AM - 5:00 PM 【 Venue 】 Tokyo Big Sight (3-11-1 Ariake, Koto-ku, Tokyo 135-0063)

We would like to extend our heartfelt congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will showcase a variety of products, including new ones. We sincerely invite you to visit us during this busy time. 【 Exhibition Name 】 Automotive Technology Exhibition 2025 YOKOHAMA https://aee.expo-info.jsae.or.jp/ja/yokohama/ (An "online exhibition" will also be held during and around the event period) 【 Dates 】 May 21 (Wednesday) - 23 (Friday), 2024 10:00 AM - 6:00 PM *On the final day, 9:00 AM - 4:00 PM (Online exhibition: May 14 (Wednesday) - June 4 (Wednesday)) 【 Venue 】 Pacifico Yokohama (1-1-1 Minatomirai, Nishi-ku, Yokohama, Kanagawa Prefecture) Our booth number: "Concourse 505"

Nakakin will be exhibiting at 'FOOMA JAPAN 2026 (International Food Industry Exhibition)' held at Tokyo Big Sight. This exhibition proposes "A rich future opened by food technology" through cutting-edge technology, products, and services in food machinery, amidst growing interest in "food safety and security." We aim to facilitate the exchange and dissemination of technology and information related to food machinery, equipment, and associated devices, contributing to the further development of the food industry. We sincerely look forward to your visit.

[Speaker] Academic Visitor, University of Strathclyde, UK Visiting Professor, Offshore Wind Research and Education Center, Kyushu University Senior Researcher, Institute for Sustainable Energy Policies (ISEP) Mr. Yo Yasuda [Lecture Topics] 1. International Trends in Decarbonization and Japan's Position (1) Risks of Fossil Fuel Dependence and Decarbonization as Risk Management (2) Discussions on Decarbonization and Renewable Energy in International Organizations (3) Discussions on Decarbonization and Renewable Energy in Japan (4) Discrepancies Between International and Domestic Discussions (The U.S. is not the world) 2. International Discussions on Large-Scale Introduction of Renewable Energy (1) Electrification and Sector Coupling (Why are EVs and Heat Pumps Advancing?) (2) Externalities and Benefits (Long-Term Perspective and Risk Management) (3) Flexibility (The notion that "renewable energy is unstable" is outdated) 3. Challenges and Solutions for Japan, Methodology for Information Gathering (1) Fake News and Scientific Methodology (2) Non-Scientific Narratives and Evidence-Based Policy Making (EBMP) (3) AI and Specialized Information Retrieval 4. Q&A / Business Card Exchange *Reference: "The Future of 90% Renewable Energy by 2050 - Scenarios and Scientific Basis for Achieving Decarbonization" by Yo Yasuda, Yamato Keikokusha (December 2024)

[Speaker] Akira Yamauchi, President and CEO of Intellectual Property Landscape Co., Ltd. Patent Attorney, AIPE Certified Senior Intellectual Property Analyst [Lecture Topics] 1. What is Physical AI? [1] Industrial Robots [2] Humanoids [3] Autonomous Vehicles as the main fields Overview of the population setting for the three fields and the key players in each field 2. [1] Industrial Robot Analysis 3. [2] Humanoid Analysis 4. [3] Autonomous Vehicle Analysis 5. Summary and Discussion of the Analysis Results for the Three Fields 6. Q&A Session