Development of Automatic Work Analysis for Assembly Work using Motion Picture Analysis of Hand Position and Motion
Development of Automatic Work Analysis for Assembly Work using Motion Picture Analysis of Hand Position and Motion
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使用手部位置和运动的动态图像分析开发装配工作的自动工作分析
DOI：
10.11221/jima.71.233
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发表时间：
2021
影响因子：
--
通讯作者：
Keisuke SHIDA
中科院分区：
文献类型：
--
作者：
Takumi NAKANO;Tomoaki YAMAZAKI;Keisuke SHIDA
本研究提出了一种装配工厂的视频分析方法。近年来，制造业对收集制造数据的需求越来越大。虽然实时可视化制造数据以分析实际手工工作尚未实现，但使用多种机器和传感器的数据收集、分析和可视化技术已经取得了进展。各种传感器和机器的引入导致了实时可视化收集和分析制造数据以及收集和分析数据的过程的变化。虽然很难手动完成，但对生产数据的实时监控可以帮助快速响应问题，调查原因并改进操作。因此，作者提出了一种利用视频分析手的运动和位置以及产品位置的工作分析方法。结果表明，在理想捕获环境下对标准化工作进行研究时，分析精度达到99.3%，并明确了精度降低的原因。
This study presents a video analysis method for assembly factories. In recent years, there has been an increasing demand to collect manufacturing data in the manufacturing industry. While visualizing manufacturing data in real time to analyze practical manual work has not yet been realized, technologies for data collection, analysis and visualization have made progress using many kinds of machines and sensors. The introduction of various sensors and machines has resulted in changes in processes for visualizing the collection of manufacturing data in real time and analyzing it, as well as the collection and analysis of data. While difficult to do manually, the real-time monitoring of production data can help to quickly respond to problems, investigate causes, and improve operations. Therefore the authors propose a work analysis method that uses videos to analyze hand movement and position and product position. As a result, an analysis accuracy of 99.3% is obtained when studying standardized work in an ideal capture environment, and the cause of the reduction in accuracy is clarified.