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

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

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Confide for Factory

last updated:Jun 26, 2024

コーピー 本社
コーピー 本社
  • Official site

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.

    Image analysis software
【【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

【【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
【【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
  • Related Link - https://factory.confide.tech/workflow-analysis/

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【Feature Introduction】 1. Work Process Settings: Setting work areas and conditions for each action 2. Automatic Extraction of Improvement Tasks: Videos jump to cycles in the cycle count graph 3. Automatic Grouping of Cycle Counts: Cycle time measurement 4. Continuous Measurement of Cycle Time: Quality improvement through work omission detection alarms 5. Display of Worker Hand Trajectories: Visualization of the worker's hand movements 6. Work Omission Alarm: Real-time detection of work omissions with history display 7. Comparison of Work: Comparing time, accuracy, and efficiency among workers 8. Easy Creation of Work Manuals: Automatic creation of manuals from videos and information 9. Behavioral Trajectory Analysis: Understanding the differences between veterans and newcomers through behavioral data, reviewing 3M (Muri, Muda, Mura) 【Service Provision Format】 Service provided via subscription model (cloud service) *Hardware (edge notebook PC and web camera) is required. This information is a reference structure. Please contact us for details.

Price information

Negotiable *The structure may vary depending on the requirements, so please contact us.

Delivery Time

Please contact us for details

Applications/Examples of results

1. Manufacturing Operations - Production line work management: Compare and analyze tasks with AI to identify bottlenecks and improve efficiency. - Process flow optimization: Reduce task omissions and waste to optimize processes. - Consideration of personnel allocation: Equalize work load and achieve efficient use of personnel. 2. Production Management - Cycle time measurement: Improve the accuracy of production planning with precise measurements. - Elimination of task variability: Standardize work procedures to reduce variability. 3. Quality Management - Detection of task omissions: Quickly detect task omissions using AI. - Estimation of work load: Accurately estimate work load to prevent overloading. 4. Digital Transformation (DX) - Introduction of digital tools: Improve operational efficiency with AI tools. - Data-driven decision making: Support decision making based on data analysis results. 5. Shipping Management - Streamlining shipping processes: Improve the efficiency and accuracy of shipping tasks. - Optimization of inventory management: Optimize inventory management using shipping data. *This can also be utilized in logistics operations. Please let us know about the operations you are considering for use. We also have a "case study collection," so please contact us for more details.

catalog(8)

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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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[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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[Company Introduction] Copy Inc. / Company Information

[Company Introduction] Copy Inc. / Company Information

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[Case Study] Confide for Factory Work Analysis AI | Yokogawa Manufacturing Corporation

[Case Study] Confide for Factory Work Analysis AI | Yokogawa Manufacturing Corporation

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[Flyer] Last chance this fiscal year! Achieve DX promotion and AI implementation in the manufacturing and logistics industries with the IT introduction subsidy 2024!

[Flyer] Last chance this fiscal year! Achieve DX promotion and AI implementation in the manufacturing and logistics industries with the IT introduction subsidy 2024!

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[Other Materials] How to Smoothly Solve Challenges in AI Implementation through AI Training

[Other Materials] How to Smoothly Solve Challenges in AI Implementation through AI Training

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[Flyer] Ai Dojo - AI/DX Training that Produces Real Results

[Flyer] Ai Dojo - AI/DX Training that Produces Real Results

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News about this product(11)

Thank you for attending the 3rd Smart Factory EXPO Autumn.

  • Seminar・Event

Thank you very much for visiting the Kopy booth at the "3rd Smart Factory EXPO Autumn" held at Makuhari Messe from September 4 (Wednesday) to September 6 (Friday). We appreciate you taking the time out of your busy schedule to join us. During the exhibition, we received feedback from many customers regarding the following needs: [Main Needs] - Worker Analysis AI: There was a high interest in improving work efficiency and real-time analysis, with many voices seeking efficiency through the visualization of actions. - Appearance Inspection AI: There was a strong demand for improvements in over-detection and accuracy, and interest in XAI and QAAI technologies is rapidly increasing. - Customization Proposals: There is a growing need for customization tailored to specific industries. Kopy aims to respond to these needs and provide further technological solutions. If you require additional information, please feel free to contact us. We look forward to your continued support.

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We will exhibit at the 3rd "Smart Factory EXPO Autumn": showcasing exterior inspection AI, worker analysis AI, and data generation management solutions.

  • Seminar・Event

We will be exhibiting at the "3rd Smart Factory EXPO Autumn - Manufacturing Innovation Exhibition through IoT/AI/FA," which will be held at Makuhari Messe from September 4 (Wednesday) to September 6 (Friday), 2024. Our exhibited products will include data management tools, appearance inspection AI, and worker analysis AI (certified system for IT subsidies 2024). We hope you will come visit us. Exhibited Products: - Appearance Inspection AI: Detects defects in manufactured products through AI learning. https://factory.confide.tech/visual-inspection/ - Worker Analysis AI: Visualizes and analyzes worker behavior. https://factory.confide.tech/workflow-analysis - Data Management: Generation of defective product data, centralized management of image data, verification and assurance of data quality. https://www.youtube.com/watch?v=Lvz2i7AHoDg About Smart Factory EXPO Autumn: This exhibition showcases the latest technologies and solutions such as IoT solutions, AI, and FA/robots that realize DX and efficiency in production and manufacturing.

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[News] Startup Copy, aiming to realize mission-critical AI, begins business partnership with SIG Group, from the University of Tokyo and French Inria.

  • Company news

Corpy & Co., Inc. (Headquarters: Chiyoda-ku, Tokyo, Representative Director: Kohei Yamamoto, hereinafter referred to as "Corpy") supports the realization of mission-critical AI with XAI & QAAI technology and announces a business partnership with SIG Group, Inc. (Headquarters: Chiyoda-ku, Tokyo, President: Junsei Ishikawa, hereinafter referred to as "SIG Group") to assist customer companies in their business transformation using AI. For more details, please refer to the "Related Links." <About Corpy & Co., Inc.> - Company Name: Corpy & Co., Inc. - Website: https://corpy.co.jp/ - Representative Director: Kohei Yamamoto - Established: March 2017 - Headquarters: 1-44-11 Kanda Jinbocho, Chiyoda-ku, Tokyo <About SIG Group, Inc.> - Company Name: SIG Group, Inc. (TSE Standard [4386]) - Website: https://www.sig-group.co.jp/ - President: Junsei Ishikawa - Established: December 16, 1991 - Headquarters: 8F Ichigaya Square Building, 4-2-1 Kudankita, Chiyoda-ku, Tokyo

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

  • Seminar・Event

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.

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Companynews list (40)

Company information

コーピー

コーピー 本社

IT/Telecommunications

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Our company is an AI startup founded by researchers from the University of Tokyo and the French research institution Inria, with a mission to "improve quality and efficiency through advanced AI technology" specifically for the manufacturing and logistics industries. Our technology meets the needs of quality control, production technology, and DX promotion departments, enabling optimization of production processes and risk management. The founder, Yamamoto, has conducted AI research at Yahoo Japan and Inria, presenting results at top international conferences such as WWW and RecSys. Over 80% of our team consists of researchers who studied AI and computer science at world-class universities like the University of Tokyo, Cambridge, and Imperial College. With their international perspectives and advanced skills, we provide innovative solutions to quality control challenges. In particular, in mission-critical areas that emphasize the interpretability of AI, our XAI (explainable AI) technology brings transparency to the reasoning behind AI decisions for managers in quality control and production technology departments, supporting safer and more reliable system operations. This leads to improvements in production efficiency and quality, promoting sustainable growth in the manufacturing and logistics industries.

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