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  3. コーピー 本社
  4. [Thank You for Attending] Miyazaki DX Technology Experience Exhibition Report: Display of Appearance Inspection AI and Worker Analysis AI
SEMINAR_EVENT
  • Feb 14, 2024
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Feb 14, 2024

[Thank You for Attending] Miyazaki DX Technology Experience Exhibition Report: Display of Appearance Inspection AI and Worker Analysis AI

コーピー コーピー 本社
Thank you very much for visiting the "Miyazaki DX Technology Experience Exhibition 2024" held on January 18 (Thursday) and 19 (Friday). At our booth, we showcased solutions for the manufacturing industry, focusing on appearance inspection AI and worker analysis AI. We were pleased to see a larger number of attendees compared to last year, which strongly indicated the growing interest in DX and AI utilization. Our company will continue to make improvements to contribute to productivity enhancement through the use of AI. We sincerely appreciate the companies and individuals who visited our booth. Details of the exhibited products: - Appearance Inspection AI: Detects defects in manufactured products through AI learning. Please refer to "Related Products" for more details. - Worker Analysis AI: Visualizes and analyzes worker behavior. Please refer to "Related Products" for more details. Thank you once again for your visit. We look forward to your continued support.
Date and time Thursday, Jan 18, 2024 ~ Friday, Jan 19, 2024
09:00 AM ~ 06:00 PM
On the 19th, until 4 PM.
Capital Name: Miyazaki DX Technology Experience Exhibition 2024 Dates: January 18 (Thursday) - January 19 (Friday), 2024 Venue: JA·AZM Hall (1-1 Kirishima, Miyazaki City, Miyazaki Prefecture) Details URL: https://www.miyazaki-en-bridge.jp/miyazaki-dx/
Entry fee Free
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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.

  • Image analysis software

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Related catalog(5)

[Company Introduction] Copy Inc. / Company Information

[Company Introduction] Copy Inc. / Company Information

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

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

PRODUCT
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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'

PRODUCT
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Catalog: Confide for Factory: Visual Inspection AI

Catalog: Confide for Factory: Visual Inspection AI

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

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

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Case studies of aluminum parts manufacturing by pioneers utilizing metal 3D printers <Zoom Online Seminar> - Creating attractive parts with complex shapes that were previously impossible, lattice, honeycomb, and porous structures, achieving short time, low cost, ultra-lightweight manufacturing, significant reduction in the number of parts, and reduction in processes and workforce [Currently, half-price tuition].

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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.

Oct 31, 2026

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6th Nagoya Smart Logistics Expo

Notice of Participation in the "6th Nagoya Smart Logistics EXPO" from November 25 (Wednesday) to November 27 (Friday), 2026.

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Kou Alpha X Co., Ltd. will be exhibiting at the "6th Nagoya Smart Logistics EXPO" held at the Aichi Prefectural International Exhibition Center. At our booth, we will primarily showcase the actual model of the "HAIDI lithium-ion battery," which is gaining attention as a power source for electric drive equipment. Additionally, we will reference exhibit a "Mobility Base Unit," which serves as the base for electric wheelchairs, anticipating its use in AMRs, along with manual chargers, automatic chargers and connectors compatible with both contact and non-contact charging, and peripheral devices for electric vehicles. We look forward to your visit.

Oct 30, 2026

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Free Webinar: A Shortcut to Building UVM Verification Environments

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UVM (Universal Verification Methodology) is one of the verification methods that enables advanced verification flows for ASICs and large-scale FPGAs. However, writing UVM from scratch is a complex and time-consuming task. The UVM generator in Riviera-PRO reduces complexity by automatically generating SystemVerilog templates for UVM test benches and simulation scripts for designs written in VHDL, Verilog/SystemVerilog, rather than starting from scratch. This webinar will focus on how to use the UVM generator and the benefits it brings to users who create UVM code from scratch.

Oct 30, 2026

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Free Webinar: Design and Verification Process of DO-254 Projects Using AC-20-152A Guidance

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  • SEMINAR_EVENT

The RTCA/DO-254, published in 2000, serves as a guideline for the development of airborne electronic equipment equipped with FPGA/ASIC according to standards; however, in recent designs, its content has become outdated. EASA and FAA have aimed to harmonize compliance standards, and at the same time, issued AMC 20-152A/AC 20-152A as new objectives that DO-254 applicants should meet. This webinar will introduce an overview of this new document, as well as discuss its impact on the design and verification processes of airborne electronic equipment and appropriate tools for streamlining these processes.

Oct 30, 2026

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Notice of Participation in FOOD Exhibition 2026 "Food Factory Improvement Exhibition" from November 11 (Wednesday) to November 13 (Friday), 2026.

  • NEW
  • SEMINAR_EVENT

We will be exhibiting at the FOOD Exhibition 2026, specifically at the "Food Factory Improvement Exhibition." Our theme for the exhibition will be "Positive Pressure with Dehumidified Air." In this exhibition, we will introduce our dehumidified air supply unit "Ecosara," which contributes to solving issues such as the inflow of insects and dust, condensation, and mold growth in food manufacturing facilities. We sincerely look forward to your visit. Additionally, during the "Exhibitor Seminar" held at the venue, we will also discuss the background and benefits of implementing "Ecosara."

Oct 30, 2026

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