[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 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 introduce a number of products, including our new product, the Pillow Packaging Full Air Tightness Inspection Machine MSQ-2003. We sincerely apologize for the inconvenience during your busy schedule, but we would like to invite you to visit us at this opportunity. 【 Exhibition Name 】 JAPAN PACK 2025 Japan Packaging Industry Exhibition https://www.japanpack.jp/ 【 Dates 】 October 7 (Tuesday) to October 10 (Friday), 2025 *4 days 10:00 AM to 5:00 PM 【 Venue / Booth Number 】 Tokyo Big Sight / East Hall 8, Booth 8-505

On this occasion, we have opened a showroom for Tajima embroidery machines in conjunction with the renovation of the Chūnichi Jūki headquarters building. To commemorate the opening of the showroom, we will hold an exhibition of Tajima embroidery machines.

Next-generation large resin and metal 3D printers that achieve astonishing high-speed molding, low-cost, and high-precision molding are being rapidly introduced to the market. These printers are being utilized in the manufacturing of large parts and products in the aerospace, automotive, industrial machinery, plant, defense, and social infrastructure sectors, as well as in parts and mold repairs and reverse engineering. In this seminar, we will discuss the latest developments and features of cutting-edge machines from Stratasys, the largest manufacturer of large resin 3D printers, and Lobotics, along with domestic and international case studies. We will also explore innovative molding technologies from leading users such as Fujikohsai Industries and Sanko Gosei, who utilize large metal 3D printers from Meltio and Matsuura Machinery to create large metal parts, large metal products, and large mold components. The seminar will provide concrete and easy-to-understand explanations of key points and considerations for implementation and utilization, various manufacturing examples, and discussions on molding size, quality, cost, lead time, and success and failure stories. 3D printers enable the complex integrated molding of multiple parts into a single large shape, which was impossible with previous processing methods and technologies. This capability allows for a significant reduction in the number of parts, achieving short lead times, low costs, high-quality manufacturing, and a reduction in the number of processes and personnel involved.

Copper, which has a high laser reflectivity and quickly dissipates the thermal energy from laser irradiation, was difficult to shape using metal 3D printers. However, recently developed high-performance and high-functionality metal 3D printers, along with pure copper and copper alloy powders that have a high laser absorption rate and excellent 3D moldability, have been introduced to the market, and practical applications are rapidly advancing in leading companies. Metal 3D printers enable the creation of complex shapes and integrated structures, lattice/porous structures, and hybrid structures that were previously impossible, allowing for the innovation of parts, rapid development and prototyping of components, significant reduction in the number of parts, improved quality, lightweight and compact designs, and cost reduction. This has led to increased adoption and utilization in applications such as heating coils, heat sinks, heat exchangers, motor coils, and electronic and electrical devices. In this seminar, we will provide a clear and detailed explanation of the latest trends in pure copper and copper alloy powders suitable for 3D additive manufacturing, developed by Fukuda Metal Foil Powder Industry, as well as case studies of layered molding with pure copper and copper alloys. We will also discuss innovative molding technologies and examples that are unique to our company, as demonstrated by leading users such as TK Engineering, ODEC, and Fasotec, who are utilizing metal 3D printers to manufacture low-cost, high-quality copper components in a short time, sharing both success and failure stories.

We will hold an in-person event to introduce the latest technologies in molecular design. In addition to updates on the molecular design platform "Orion," we are scheduled to have cutting-edge research presentations by OpenEye and external speakers, including "the discovery of new leads by adding three-dimensionality to trillion-scale virtual screening" and "the identification of cryptic pockets that expand druggable areas." Furthermore, we will be introducing the next-generation shape similarity search tool "ROCS X," which was first unveiled at miniCUP Boston, for the first time in Japan at this event. ROCS X evolves the traditional ROCS, enabling faster and more accurate three-dimensional screening, contributing to the efficiency of lead discovery in drug research. Don't miss the latest technologies that accelerate the drug discovery process, including molecular modeling, structure-based drug design, and AI-driven screening! We look forward to your participation.