[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

With the current processing methods and technologies, it is difficult to create complex shapes, integrated structures, lattice/honeycomb structures, porous structures, hollow structures, hybrid structures, and direct manufacturing from 3D data. Furthermore, through topology optimization and collaboration with generative design, we can achieve the creation of innovative aluminum parts that are not available from conventional or other companies, rapid development and prototyping of parts, dramatic reduction in the number of parts, ultra-lightweight and compact designs, cost reduction, and significant decreases in the number of processes and personnel involved. In this seminar, leading users such as J·3D, ODEC, and pioneers in white copper, who have achieved remarkable results in aluminum part manufacturing using metal 3D printers, will discuss key points and precautions for implementation and utilization, various manufacturing methods and technologies, rapid, low-cost, high-quality manufacturing techniques, uniquely developed next-generation AM technologies, groundbreaking case studies that significantly differentiate from other companies' parts, as well as factors for failure and secrets to success. Based on numerous research results and rich manufacturing achievements, we will provide a clear and concrete explanation for those considering implementation, beginners with interest, and those who have just started in the field. [Currently, half-price tuition] When applying, please write "Other [8,500 yen]" in the "Other" section above the application form on our website.

Connectors exist in very large numbers in the world. It is very difficult for customers to find connectors that match their specific applications from among them. The "Product Finder" on the ODU website serves as a tool to help find the right connector products. You can search for the optimal connector from various approaches, such as matching it to your cable, electrical specifications, waterproofing, etc. The connectors you search for will provide information on electrical specifications, durability, and also CAD data. In the online seminar, we will introduce how easy and quick it is to search for connectors using the "Product Finder" in a live format. ------------ Date and Time: November 19, 2026 (Thursday) 14:00 - 14:35 Venue: Online (A URL for the venue will be sent via email after you register) Speakers: Miho Kato, Sales Department, Kamex ONE Co., Ltd. Masaru Kimura, Sales Manager, ODU Japan Co., Ltd. ------------

KAI Group will be exhibiting at the "Advanced Materials Technology Exhibition 2026" held at Tokyo Big Sight. This exhibition widely introduces advanced materials and technologies in the industrial sector, covering everything from materials to their processing. It provides an essential venue for business discussions that are crucial for the development of new technologies and products in advanced fields. We plan to showcase industrial blades, cutters, and scissors with exceptional sharpness, leveraging the technology we have cultivated through our razor products. We sincerely look forward to your visit.

We will be exhibiting products that have undergone surface treatment through thermal spraying. Specifically, we will showcase products that have been ceramic thermally sprayed on metal rolls and aluminum alloy products that have undergone hard surface treatment. We provide a comprehensive service for thermal spraying repairs of parts that have lost thickness due to wear, surface modification of metal components, and other related machining processes. Exhibition Dates: November 11 (Wednesday) to 13 (Friday), 2026 - 3 days Opening Hours: 10:00 AM to 5:00 PM Venue: Tokyo Big Sight, East Hall 2

Kinoshita Corporation will exhibit at "N-Plus 2026," held at Tokyo Big Sight from November 11 (Wednesday) to 13 (Friday), as a member of the Japan Nonwoven Fabric Association's joint pavilion. In this exhibition, we will introduce a wide range of products, including the water-soluble and biodegradable nonwoven fabric "Haibios," themed "Returning to Paper," as well as the pulp nonwoven fabric "Kinari-to," which can be thermoformed. Additionally, we will have a mini sound absorption experience corner where you can actually test the differences in sound using our pulp-based sound-absorbing material "Otocell." We will showcase the various possibilities of our airlaid nonwoven fabrics through actual product displays and demonstrations. Please come and see our products and samples at the venue.