Elimination of bottlenecks in the manufacturing line: Improving work efficiency with worker analysis AI.
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[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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basic information
【Feature Introduction】 1. Workflow 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 manual creation 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. Please contact us for more details.
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Applications/Examples of results
1. Manufacturing Operations - Production line work management: Compare and analyze tasks with AI to identify bottlenecks and improve efficiency. - Optimization of process flow: Reduce work omissions and waste to optimize processes. - Consideration of personnel allocation: Equalize work load and achieve efficient use of personnel. 2. Production Management - Measurement of cycle time: Improve the accuracy of production planning through precise measurement. - Elimination of work variation: Standardize work procedures to reduce variation. 3. Quality Management - Detection of work omissions: Quickly detect work 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 of 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. For more details, please contact us.
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Company information
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.