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Advanced task analysis with AI: "VP-Motion"

Just by having it read a few videos, it can learn! It can perform video analysis using existing IP cameras and the like.

VP-Motion is an AI behavior analysis system with learning capabilities that can identify behavior patterns in real-time from skeletal and image information by labeling the actions or movements to be detected for AI training. Since you can freely set the actions you want to detect, it is possible to build and implement a system tailored to various work environments and needs at a low cost. 【Product Features】 - By utilizing image-based learning/analysis, it can distinguish objects such as tools and parts, not just the human body. - Fast learning is possible with just a few videos. - The analysis speed is fast, allowing for real-time analysis. - Detection is possible even from camera angles different from the angle used during training. - A video-based training data creation tool and learning system are included as standard, allowing customers to freely train using their own videos. - Capable of analyzing footage from existing IP cameras and network cameras. - Can monitor up to 8 cameras simultaneously. - Operable on a palm-sized edge computer, Jetson AGX Orin. - Multiple users can create training data together. *For more details, please refer to the materials available for PDF download. Feel free to contact us with any inquiries.

  • Image analysis software

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[Case Study] Work Analysis of Yokogawa Manufacturing's Production Site Using AI

[Free Case Study Available] Discover efficiency improvement points in the assembly processes of the world's six major manufacturers using AI! Results of the comparison between veterans and newcomers included!

Facing significant challenges in the manufacturing industry, Yokogawa Manufacturing Corporation has implemented Copy's work analysis AI, achieving remarkable results. This case study introduces the detailed processes and specific outcomes. 【Challenges Addressed】 1. Personalization of tasks 2. Issues in human resource development and technology transfer 3. Workload of operators 4. Variability in quality 【Some of the Effects of Implementation】 1. Early detection of process anomalies: Using Copy's AI technology, outliers in process cycle times were identified, uncovering process anomalies such as missed preparations for necessary parts. 2. Realization of efficiency: Waiting times for assembly equipment were identified, and efficient cart operations by veteran workers were discovered. The work efficiency of veterans and newcomers was compared, clarifying each group's strengths and areas for improvement. 3. Comparative analysis of workers: The movements of newcomers and veterans were analyzed over approximately 200 cycles, clarifying differences in work efficiency and areas for improvement. Through these initiatives, reductions in work time, improvements in quality consistency, and contributions to human resource development have been achieved, establishing new standards for productivity improvement and quality management across the manufacturing industry. For detailed case studies, specific data, and analysis results, please download and view the "Related Catalog."

  • Image analysis software

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