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  3. コーピー 本社
  4. [Thank You] The 36th Monozukuri World Tokyo has concluded successfully! We appreciate the warm feedback from everyone across the country.
SEMINAR_EVENT
  • Jun 24, 2024
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Jun 24, 2024

[Thank You] The 36th Monozukuri World Tokyo has concluded successfully! We appreciate the warm feedback from everyone across the country.

コーピー コーピー 本社
From June 19 (Wednesday) to June 21 (Friday), 2024, at the [36th Monozukuri World Tokyo], we sincerely thank you for visiting our booth from various regions across the country and providing us with valuable feedback. If you have any questions or uncertainties regarding the discussions we had during the exhibition, please feel free to contact us. Feedback from customers: - We received high praise for our assistance in identifying challenges in response to a customer's comment, "I want to implement AI, but there are many options, and I don't know what is optimal." - There was a deepened understanding of explainable AI (XAI) as we emphasized not treating the output process as a black box and being able to operate the PDCA cycle with solid reasoning. Many expressed that the ability to provide explanations based on data would also be beneficial for internal deployment. - We received feedback that our solution could be utilized not only for monitoring workers but also for measurements in improvement activities, and it has a high potential to be used as an educational tool, contributing to the reduction of training costs. - There was significant interest from precision manufacturers and those in the medical and aerospace fields, and our achievements in joint research with automotive companies were highly regarded.
Date and time Wednesday, Jun 19, 2024 ~ Friday, Jun 21, 2024
10:00 AM ~ 06:00 PM
Only on the final day until 17:00.
Capital Tokyo Big Sight, East Hall 4, E31-48 〒135-0063 3-11-1 Ariake, Koto City, Tokyo ■ Get off at "Kokusai Tenjijo" Station on the Rinkai Line, about a 7-minute walk ■ Get off at "Tokyo Big Sight" Station on the Yurikamome Line, about a 3-minute walk
Entry fee Free [Organizer] RX Japan Co., Ltd.
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【製造業向け】ワンストップソリューション(XAIQAAI).jpg

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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【【現場管理者向け】映像から作業工程を分析・可視化:作業者解析AI.jpg

[For Site Managers] Analyze and Visualize Work Processes from Video: Worker Analysis AI

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.

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【品質管理者向け】判断根拠を理解。少量から学習可能な外観検査AI.jpg

[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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IT導入補助金.jpg

Guide to Utilizing IT Introduction Subsidies for AI Implementation (with Checklist)

[Free Download] Includes Checklist: Guide to Utilizing IT Introduction Subsidies for AI Utilization

Utilize the free checklist to streamline the application process! This guide is an ideal resource for department heads and business owners who want to implement AI technology using IT introduction subsidies to reform their operations. By using detailed procedures, key points, and checklists, you can smoothly progress through the entire process from application to implementation and operation. Download this free guide now and take the first step towards business transformation with AI. 【Main Content and Features】 - Overview of subsidy utilization: The IT introduction subsidy supports a portion of the costs necessary for implementation, such as software purchases and cloud service usage fees. - Step-by-step application guide: Clearly explains the process from subsidy application to approval. A downloadable checklist helps prevent application mistakes. - Advantages and disadvantages of implementation: Discusses specific benefits of AI technology implementation and points to consider. - Specific information for target audiences: Content tailored for small and medium-sized enterprises in specific industries such as manufacturing, presenting the maximum subsidy rate and upper limit. - Target audience: Those involved in production management, quality control, and DX promotion in the manufacturing and logistics industries.

  • Other inspection equipment and devices

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【【品質管理者向け】AIによる外観検査とデータ管理ソリューション.jpg

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.

  • Visual Inspection Equipment
  • Image Processing Software
  • Image analysis software

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【製造業向け】動画をAI解析で現場作業を比較・分析 – ボトルネックを特定し、IE手法で作業効率を劇的に改善.jpg

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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【その他資料】無料:製造業技術者の暗黙知・属人化を解消する方法 (2).jpg

[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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Related catalog(7)

[Company Introduction] Copy Inc. / Company Information

[Company Introduction] Copy Inc. / Company Information

COMPANY
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[Other Materials] Guide to Utilizing IT Introduction Subsidies for AI Utilization – Includes Free Checklist

[Other Materials] Guide to Utilizing IT Introduction Subsidies for AI Utilization – Includes Free Checklist

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[Other Materials] Utilization of the SECI Model Using Worker Analysis AI

[Other Materials] Utilization of the SECI Model Using Worker Analysis AI

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[Catalog] AI for Manufacturing: XAI/QAAI-Based Platform 'CONFIDE for Factory'

[Catalog] AI for Manufacturing: XAI/QAAI-Based Platform 'CONFIDE for Factory'

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Catalog: Confide for Factory: Visual Inspection AI

Catalog: Confide for Factory: Visual Inspection AI

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[Catalog] Confide for Factory: Data Generation/Management Solution

[Catalog] Confide for Factory: Data Generation/Management Solution

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Catalog: Confide for Factory: Worker Analysis AI (Workflow Analysis)

Catalog: Confide for Factory: Worker Analysis AI (Workflow Analysis)

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[Notice of Exhibition Participation by Fukuda Co., Ltd.] TOKYO PACK 2026 Tokyo International Packaging Exhibition

  • NEW
  • SEMINAR_EVENT

We would like to express our congratulations on the continued prosperity of your esteemed company. Our company will be exhibiting at the following trade show, where we will be showcasing a number of products, including our new product, the Packaging Container Air Leak Test (Pin Hole Inspection) Device | MSQ-2003 series. We sincerely apologize for the inconvenience during your busy schedule, but we would like to cordially invite you to attend this event. 【 Trade Show Name 】 【 Dates 】 【 Venue/Booth Number 】

Oct 09, 2026

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We will be exhibiting at the PIAB Manufacturing Fair 2026 [Booth Number: AS-43].

  • NEW
  • SEMINAR_EVENT

We will showcase our new product "BLFF," a palletizing foam gripper that weighs only 1.9 kg and measures 350mm×250mm, ideal for bulk picking. We will also introduce various products that cater to different work applications, including durable suction cups and solutions for bag handling. Additionally, we are implementing energy-saving proposals by replacing ejectors to reduce compressed air consumption, which has become a challenge in many industries. If you have any issues with adhesion or transport, please feel free to consult with us at the venue. ■ Lightweight Foam Gripper for Collaborative Robots "CVGC Series" Despite weighing only 1.9 kg, this gripper has a theoretical lifting force of 100 kg, maximizing the payload capacity of collaborative robots. ■ Gripper for Films This gripper is designed to transport thin films gently, minimizing marks left on the surface. By utilizing 3D printing, we can accommodate highly flexible shape designs tailored to specific workpieces and applications. ■ Energy Saving Comparison Panel "Why does a single ejector consume less compressed air compared to a multi-stage ejector?" You can actually verify the differences in compressed air consumption through a comparative display using a flow meter and actual equipment.

Oct 09, 2026

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Starting from November 18 (Wednesday): Announcement of participation in Smart Factory JAPAN! Booth number "F-20"

  • NEW
  • SEMINAR_EVENT

We will be exhibiting at Smart Factory JAPAN, held at Tokyo Big Sight from November 18 (Wednesday) to November 20 (Friday), 2026. We will introduce the 'Dr. Process Navi Series', 'Dr. Mold Cloud', and AI solutions that integrate with both products! <Introducing the latest solutions that innovate productivity in manufacturing sites!> ● 'Dr. Process Navi' Series ● 'Dr. Mold Cloud' ● 'AI Solutions' For more details, please check the related products. ■■ Smart Factory JAPAN 2026 Overview ■■ Dates: November 18 (Wednesday), 19 (Thursday), 20 (Friday), 2026 Opening Hours: 10:00 AM - 5:00 PM Venue: Tokyo Big Sight, East Hall 1-3 Our Booth Number: F-20 Registration: Nikkan Kogyo Shimbun 6 Exhibition Joint Site When visiting, please register in advance from your My Page and bring a printed admission ticket. Business meeting requests are also possible, so please make use of this opportunity.

Oct 09, 2026

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Announcement of participation in the "Monozukuri World Fukuoka Design and Manufacturing Solutions Exhibition": December 2nd - @ Marine Messe Fukuoka

  • NEW
  • SEMINAR_EVENT

We will be exhibiting at the Monozukuri World Fukuoka Design and Manufacturing Solutions Exhibition, held at Marine Messe Fukuoka from December 2 (Wednesday) to December 4 (Friday), 2026. We will introduce the 'Dr. Process Navi Series', 'Dr. Mold Cloud', and AI solutions that help improve efficiency and reform in manufacturing sites! <Introducing the latest solutions that innovate productivity in manufacturing sites!> ● 'Dr. Process Navi' Series ● 'Dr. Mold Cloud' ● 'AI Solutions' For more details, please check the related products. ■■ Overview of the 4th Monozukuri World Fukuoka Design and Manufacturing Solutions Exhibition ■■ Dates: December 4 (Wednesday), 5 (Thursday), 6 (Friday), 2026 Opening hours: 10:00 AM to 5:00 PM Venue: Marine Messe Fukuoka Our booth number: 14-18 When visiting, please register in advance through the dedicated page and bring your printed visitor badge.

Oct 09, 2026

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We will be exhibiting at "CEATEC 2026" from October 13 to 16 | Awarded the "Innovation Award" at CEATEC AWARD 2026 (iCrystal)

  • NEW
  • SEMINAR_EVENT

We will be exhibiting at "CEATEC 2026," which will be held at Makuhari Messe from October 13 to 16. We provide information technology and process informatics (PI) that optimize "how to create" by utilizing physical simulations, AI, and machine learning in process development. We look forward to your visit to our booth. 【Seminar Information】 "Process Informatics for Exploring Optimal Manufacturing Conditions" Date and Time: October 16, 2026 (Friday) 12:45 - 13:00 Venue: Makuhari Messe Exhibition Hall 4 P Stage Speaker: CEO Takaishi Please check the link below for details on our exhibition.

Oct 08, 2026

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