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

[Speaker] Daisuke Imaizumi, President and CEO, Infra Commons Inc. [Key Lecture Content] The "Software-Defined Warfare" led by the U.S. Department of Defense is establishing a new model of warfare centered on AI, autonomous drones, and real-time command and control. This seminar will explain the U.S. strategic shifts, including the Replicator concept, JADC2, and the rise of Palantir and Anduril, while delving into the essence of the structural transformation facing Japan's defense industry. Through the establishment of Anduril's Japanese subsidiary, the "purely domestic drone" concept, and Palantir's data infrastructure and generative AI deployment, we will present how companies like Mitsubishi Heavy Industries, Kawasaki Heavy Industries, Fujitsu, and NEC can play a central role in Japan-U.S. collaboration. We will provide practical insights for existing industries to carve out paths as "co-creation partners" rather than "enemies" in the AI and software-driven era. This is a must-see lecture for rethinking the future of the defense industry.

[Key Lecture Content] 1. Quantum Technology Opening the Future: The Cutting Edge of Quantum Communication Promoted by the Ministry of Internal Affairs and Communications Yuichiro Yano, Deputy Director, Research Promotion Office, Technology Policy Division, International Strategy Bureau, Ministry of Internal Affairs and Communications 1. Basics of Quantum Technology and the Role of the Ministry of Internal Affairs and Communications 2. The Future Brought by Quantum Technology and Government Strategy 3. Research and Development and Quantum Security Bases 4. Social Implementation of Quantum Technology and Use Cases 5. International Initiatives and Future Prospects 6. Q&A / Business Card Exchange 2. The Value and Potential of Quantum Cryptography in the Post-Quantum Era Go Kato, Director, Quantum ICT Research Laboratory, Future ICT Research Institute, National Institute of Information and Communications Technology 1. The Origin of the Security of Quantum Cryptography 2. Current Status of Quantum Cryptography Devices 3. Current Issues and Potential of Quantum Cryptography Technology 4. Long-term Prospects for Future Technological Development of Quantum Cryptography 5. Q&A / Business Card Exchange

[Key Lecture Content] 1. Trends and Future Prospects of Physical AI Hiroshi Kondo, Deputy Director and Expert, Advanced Technology Lab, Japan Research Institute, Ltd. 1. What is Physical AI? 2. Technological trends of generative AI behind Physical AI 3. Examples and research trends of Physical AI 4. Future prospects 5. Q&A / Business card exchange 2. The Future Opened by Physical AI: NVIDIA's Initiatives and Prospects Ken Arai, Senior Manager, Robotics Developer Relations, Enterprise Business Division, NVIDIA Corporation 1. What does NVIDIA perceive as "Physical AI"? 2. Accelerated computing supporting technological evolution 3. The role of digital twins and the importance of synthetic data generation 4. Learning and inference of Physical AI models 5. Implementation examples of Physical AI 6. Q&A / Business card exchange

We are pleased to announce the archive distribution of our seminar titled "New Plan 'Mojitori Plus' Debuts! From Paper to Data! The First Step in Internal DX with Mojitori." 'Mojitori' allows you to convert text from photos, images, PDF files, and more into data, automatically inputting it into various fields in kintone. In this seminar, we will clearly explain the basic functions and usage of Mojitori. Additionally, we will provide detailed explanations about the Plus plan and the document-focused Mojitori, which were added in the major update in November. 【Recommended for】 - Those who are struggling with frequent transcription errors due to manual data entry. - Those who wish to digitize documents currently stored on paper. 【Timetable】 - Overview of Mojitori's functions - Overview of Mojitori Plus's functions - Details and pricing of each plan - Q&A session We look forward to your registration.

Innovating material development at the nano level through high-speed molecular simulation and machine learning With the advancement of molecular simulation technology, it has become possible to handle nano-level phenomena through computer simulations. Additionally, the combination of simulation and machine learning is expanding the range of possibilities. Schrödinger supports the enhancement of analytical power, efficiency, and reduction of development time in your material development using the latest molecular simulation and machine learning technologies, as well as techniques that integrate both. At our exhibition booth, specialized technicians will explain the latest technologies and answer questions from attendees. *During the event, we will hold a seminar at our booth. Theme: "Seeing Inside Materials at the Nano Level" - New Material Development through Simulation and Machine Learning We will introduce examples of predicting physical property values of various materials on a computer. You can experience each software firsthand. 【Exhibition Information】 Exhibition Name: nano tech Dates: January 28-30, 2026 Venue: Tokyo Big Sight, West Hall 3 Booth Number: 3W-H07 Exhibition Zone: [Materials] Material Zone