基于OpenCV手部追踪的印尼交互式虚拟博物馆的设计与实现

W. A. A. Praditasari, Ria Aprilliyani, I. Kholis
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引用次数: 3

摘要

Covid-19大流行迫使人们保持身体距离。它影响着博物馆,特别是国防博物馆的业务。本研究基于OpenCV mediapipehand和PyautoGUI设计了印度尼西亚雅加达的国防交互式虚拟博物馆。该系统采用MDLC方法。使用OpenCV mediapipehand生成面向用户的交互式程序的方法。本研究使用虚拟博物馆https://museumnasional.iheritage.id/。结果表明,国防交互式虚拟博物馆应用程序可以识别用户的手的运动,使用mediapipe手来控制鼠标。此外,程序使用的资源是81%的CPU, 44%的RAM 8GB和90%的磁盘资源。结果表明,该程序需要高性能PC才能顺利运行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design and Implementation of Interactive Virtual Museum based on Hand Tracking OpenCV in Indonesia
Covid-19 Pandemic forces people to physical distancing. It affects the business of Museum, especially National Defense Museum. This research designs the National Defense Interactive Virtual Museum in Jakarta, Indonesia, based on OpenCV mediapipe hand and PyautoGUI. The system used MDLC method. OpenCV mediapipe hand is used to generate the method of Interactive program for Users. The virtual museum https://museumnasional.iheritage.id/ is used in this research. The result is that National Defense Interactive Virtual Museum Application can recognize the movement of users' hands using mediapipe hand to control mouse. Moreover, the resources which are used by program are 81 % CPU, 44% of RAM 8GB, and 90% Disk resources. Based on the results, the program requires high performances PC to run smoothly.
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