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  4. [Thank You for Attending] Report on the Defense Industry Entry Promotion Exhibition 2023: Jointly exhibited equipment, cameras, and AI technology as a one-stop solution with BRICS Corporation (XAI/QAAI).
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  • Feb 14, 2024
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Feb 14, 2024

[Thank You for Attending] Report on the Defense Industry Entry Promotion Exhibition 2023: Jointly exhibited equipment, cameras, and AI technology as a one-stop solution with BRICS Corporation (XAI/QAAI).

コーピー コーピー 本社
From January 31 (Wednesday) to February 1 (Thursday), 2024, we exhibited jointly with BRICS Co., Ltd. at the Defense Equipment Agency's Defense Industry Entry Promotion Exhibition held in Tokyo. We showcased a solution that provides equipment, cameras, and AI technology in a one-stop manner, with the theme of "AI that protects lives." Main exhibited technologies: - XAI (Explainable AI): A technology that has expanded from research projects by the U.S. DARPA (Defense Advanced Research Projects Agency) and is also important in Japan's defense industry. - QAAI (Quality Assurance AI): AI technology that achieves high-precision quality assurance. Many attendees visited the venue, and we could see a particularly high level of interest in our XAI/QAAI. XAI is expected to play an important role in the defense industry in the future. Initiatives by the Defense Equipment Agency: The Defense Equipment Agency is implementing initiatives to strengthen the defense industrial base by discovering small and medium-sized enterprises, venture companies, and startups with excellent technology, products, and price competitiveness, and promoting new entries into the defense industry. This exhibition is part of that effort, aimed at providing matching opportunities between promising small and medium-sized enterprises and the Ministry of Defense and defense-related companies.
Date and time Wednesday, Jan 31, 2024 ~ Thursday, Feb 01, 2024
10:00 AM ~ 04:00 PM
Capital Name: Reiwa 5th Year Defense Industry Entry Promotion Exhibition Dates: January 31, 2024 (Wednesday) - February 1, 2024 (Thursday) (2 days) 10:00 AM - 4:00 PM Venue: Hotel Grand Hill Ichigaya (4-1 Ichigaya Honmura-cho, Shinjuku-ku, Tokyo) Venue URL: https://www.ghi.gr.jp/ Organizer: Equipment Policy Division, Acquisition, Technology & Logistics Agency
Entry fee Free
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[For Site Managers] Analyze and Visualize Work Processes from Video: Worker Analysis AI

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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.

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For the manufacturing industry: One-stop AI solution (XAI/QAAI)

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.*

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[For Quality Managers] Understanding the Basis for Judgment. Appearance Inspection AI that can learn from small amounts of data.

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.

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【Product Information】Dramatically improve the productivity of AI learning! Data generation/management tool

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.

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AI-Based Visual Inspection and Data Management Solutions for Quality Managers

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.

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Elimination of bottlenecks in the manufacturing line: Improving work efficiency with worker analysis AI.

[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.

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[Other Materials] Free: Methods to Eliminate Tacit Knowledge and Personalization in Manufacturing Engineers

DX transformation with operator analysis AI: Visualizing work processes and converting "tacit knowledge" into "explicit knowledge." We will streamline and optimize the manufacturing process!

We will clarify the tasks in manufacturing and logistics that are prone to errors and time-consuming, and achieve appropriate personnel placement, training, workload verification, and improvement of work mistakes. To this end, we will promote the digital transformation (DX) of operations, which can enhance productivity and quality. To address issues such as labor shortages and the transmission of skills, we will utilize the "Worker Analysis AI" to smoothly implement the SECI model (Socialization, Externalization, Combination, Internalization), promoting personnel training, efficient work, and knowledge sharing. The "Worker Analysis AI" strengthens corporate competitiveness and supports sustainable growth. **The Necessity of Converting Tacit Knowledge into Explicit Knowledge** In various operations, the experience of skilled workers tends to accumulate as tacit knowledge within individuals. Converting tacit knowledge into explicit knowledge offers the following benefits: - Standardization: Ensures consistency in work procedures and quality. - Efficient Training: Enables rapid training of new employees. - Knowledge Sharing: Shares knowledge across the organization, improving performance. - Risk Mitigation: Reduces risks associated with worker transfers and resignations. - Continuous Improvement: Promotes process improvements, optimizing efficiency and costs. *For more details, please refer to the "Related Catalog" and "Other Materials" and contact us.*

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Notice of participation in the Kyushu and East Asia International Logistics Comprehensive Exhibition "INNOVATION EXPO 2026" from June 24 (Wednesday) to June 25 (Thursday), 2026.

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Our company will be exhibiting at the Kyushu and East Asia International Logistics Comprehensive Exhibition "INNOVATION EXPO 2026" held at Marine Messe Fukuoka. The present and future of logistics will converge in Fukuoka. A diverse range of products and services will be showcased, including transportation, sorting, picking, industrial vehicles, transport vehicles, trucks, pallets, containers, storage equipment, 3PL, consulting, carriers, packaging, logistics business support, and logistics base and facility development. We will provide valuable consultation and business negotiation opportunities for purchasing and procurement departments of logistics centers and companies in the Chubu region and surrounding areas, as well as for all those involved in logistics and supply chain across various industries. Visitors will have the opportunity to directly experience advanced logistics equipment, technologies, and systems, contributing to solving regional challenges. We sincerely look forward to your visit.

Jun 10, 2026

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【Seminar】Steering Towards a Circular Economy: Global and Japanese Trends and Corporate Responses

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[Speaker] Mitsuru Hiranuma, Chief Researcher, Tokyo Foundation for Policy Research [Key Lecture Content] The rise of resource nationalism, symbolized by China's export restrictions on rare earths, the acceleration of mandatory use of recycled materials in response to climate change in various countries, and the intensifying international competition for the circular economy market—these three trends are converging, prompting the Japanese government to steer more decisively towards building a circular economy. These movements in the world and Japan are increasingly impacting a wide range of corporate activities, from resource procurement and product design to supply chains. So, what exactly is changing, and how should companies prepare? In this seminar, based on the "Domestic Resource Strategy" that the speaker directly proposed to Minister of Economy, Trade and Industry Akazawa on March 31, we will systematically analyze the current situation and future trends, from the trends in circular economy construction in various countries to the current state in Japan and the potential impacts on businesses. Furthermore, we will elaborate on the proposals aimed at proactive utilization titled "38 Trillion Yen Treasure Mountain."

Jun 09, 2026

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This time, we are re-releasing all four at once! Beginner seminar held! For those who want to learn the basics of embellishment from Navitas! Announcement of the WEB basic seminar.

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You can watch it all at once! Or, if you have some time, you can watch it little by little, or just the parts you want to see... all options are fine. Notice of Navitas Machinery Web Seminar (Free participation!) *This is a re-broadcast of past videos. Understand the printing process and technology easily, even if it's your first time! - Introduction to PAD Printing Part 1 - Introduction to PAD Printing Part 2 - Introduction to Hot Stamp Printing - Basic Knowledge of Surface Treatment *You can watch at your preferred time during the period (6/8 to 6/30). ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ■ Please check the attached PDF and the application page on our website for seminar details. ■ Application If you wish to participate, please apply using the URL below. We will send you the URL and password for the viewing site.

Jun 09, 2026

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Kyushu・East Asia International Logistics Comprehensive Exhibition INNOVATION EXPO 2026

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We are pleased to announce that we will be exhibiting at the Kyushu and East Asia International Logistics Comprehensive Exhibition INNOVATION EXPO 2026, which will be held on June 24 and 25, 2026, at Marine Messe Fukuoka in Fukuoka Prefecture. Our booth number will be AA-10. We will conduct a simple demonstration of our electric assist unit E-Drive series, which can be attached to carts for electrification. Additionally, we will showcase high-performance casters, including the DELTA series that enables smooth turning even for heavy-duty transport carts, as well as dual-wheel casters. We look forward to your visit.

Jun 09, 2026

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"Monozukuri World Tokyo" will be held from July 1 (Wednesday) to July 3 (Friday), 2026! We will showcase a "spot cooler with integrated air distribution duct" that can cool 10 people simultaneously with one unit.

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Our company will showcase the "integrated spot cooler with air distribution duct," which has a proven track record in heatstroke prevention at manufacturing and logistics sites. You can experience the coolness firsthand, and our staff will provide detailed guidance, so please visit our booth "S10-15." ▼ Exhibition Information Date: July 1 (Wednesday) - 3 (Friday), 2026, 10:00 AM - 5:00 PM Venue: Tokyo Big Sight Booth Location: S10-15 Official Website: https://www.manufacturing-world.jp/tokyo/ja-jp.html Pre-registration is required for attendance. You can register from the link below. https://www.manufacturing-world.jp/tokyo/ja-jp/register.html?code=1697040714429923-AHS ▼ Exhibited Product Integrated spot cooler with air distribution duct https://www.sat.co.jp/heat-prevention/

Jun 09, 2026

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