使用深度学习的测量设备可视化数据采集

Youssef Abdelrahman, M. El-Salamony, Mohamed Khalifa
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引用次数: 0

摘要

大学实验室里的大多数测量设备都不是电脑化的。因此,非定常测量是难以捕捉的。为了将测量数据检索到计算机,需要昂贵的数据采集系统将这些设备与计算机连接起来。为了克服这一问题,提出了一种经济有效的解决方案。本文提出了一种利用计算机视觉将各种测量设备的lcd读数转换为数字形式的方法。该程序已成功实现,并给出了结果。
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Visual Data Acquisition for Measuring Devices using Deep Learning
Most of the measurement devices in the university labs are not computerized. Hence, unsteady measurements are difficult to capture. In order to retrieve the measured data to computers, expensive data acquisition systems are needed to link these devices to computers. To overcome this issue a cost-efficient solution is proposed. This article proposes a methodology to convert the readings of LCDs of the various measuring devices into a digital form using computer vision. The procedure is successfully implemented and the results are presented.
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