[Exhibition] Announcement of Participation in SSMART MANUFACTURING SUMMIT BY GLOBAL INDUSTRIE: Displaying 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

[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

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

We will be exhibiting jointly with the JGC Group at "SEMICON JAPAN 2025" held at Tokyo Big Sight. <JGC Group Exhibition Overview> Since its founding, the JGC Group has been involved in various fields, including EPC (Engineering, Procurement, and Construction) for plants and factories representing oil refining and natural gas, as well as diverse businesses such as the manufacturing of catalysts, inorganic materials, and fine ceramics components. In the semiconductor field, we contribute to the semiconductor industry in multiple ways, focusing on "design and construction of semiconductor-related factories," "components for semiconductor manufacturing equipment," and "materials for semiconductor materials." <JFC Exhibition Overview> In the Japan Fine Ceramics corner, we will introduce products and application examples related to semiconductors. ● Application examples of "metal-ceramic composite materials" for temperature-controlled wafer chucks and cooling jackets ● Thin-walled rib structures "SiC ceramics" for lightweight, high-rigidity stages ● Ceramic substrates and thin-film metallized substrates ● High-performance "silicon nitride substrates" for power semiconductors ● Transparent alumina, low dielectric loss alumina, Li-ion conductors, cells for SOFC/SOEC, pressure sensors for hydrogen environments We look forward to welcoming you at our booth.

Nitto Kohki will exhibit at the "30th Mechanical Components Technology Exhibition [Tokyo]" held at Makuhari Messe Hall 5 from July 9 (Wednesday) to July 11 (Friday). [Booth Number: Hall 5 31-32] At this exhibition, we will showcase a variety of products, including the electric suction hand "e-VEE" with a built-in pump that does not require compressed air, a cordless belt sander, the electric driver "Delvo" that can be mounted on robots, and the "Flow Monitor" that allows for easy visualization of the flow of cooling water in molds and other applications.

Nitto Kohki will hold the "2025 Attack Fair in Meiko" for two days from July 23 (Wednesday) to July 24 (Thursday), 2025, at the "Kowa Seminar Plaza 2F Training Room NO.12 (inside Kowa Sports Land)." The Attack Fair is an exhibition where you can actually "see, touch, and operate" Nitto Kohki's products. Additionally, there will be wonderful souvenirs for attendees and many fun activities planned. We look forward to welcoming everyone!

Nitto Kohki will hold the "2025 Attack Fair in Kurume" at the "Local Production Kurume General Exhibition Hall" for two days from February 13 (Thursday) to February 14 (Friday), 2025. The Attack Fair is an exhibition where you can actually "see, touch, and operate" Nitto Kohki's products. Additionally, there will be wonderful commemorative gifts for visitors and many fun activities prepared. We look forward to welcoming everyone!

[Speaker] EY Strategy and Consulting Co., Ltd. Transaction and Corporate Finance M&A Advisory Director Naoki Saito [Key Lecture Content] In recent years, the grid-scale battery business has garnered significant attention from practitioners, particularly in the renewable energy sector. However, it is also true that there are several challenges that remain to be addressed for further investment expansion. In this lecture, we will explain the finance environment, various markets utilized for revenue generation, and the diversifying business schemes that could influence the success or failure of investment expansion. We will also introduce the current challenges related to each theme, the efforts of market participants towards their resolution or improvement, and future outlooks. [Lecture Items] 1. Overview of the business surrounding grid-scale batteries (historical trends, etc.) 2. Diversifying business schemes 3. Current challenges hindering further investment expansion (finance methods, etc.) 4. Various initiatives towards problem-solving 5. Q&A / Business card exchange