基于超声的运动状态识别系统在自动门管理中的应用

Chenglin Liu, Liya Kong, Yan Cao, Qinghua Huang
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引用次数: 2

摘要

为了弥补现有运动状态识别系统的不足,提出了一种基于超声的运动状态识别系统。该系统的特点是:基于多普勒效应的运动状态识别算法可以快速准确地识别出门旁人员的运动状态,提出了一种创新的除法检测算法来估计想要通过自动门的人数,超声波传感器具有抗干扰性能好、能耗低、价格低等优点。因此,使用超声波探头可以在降低成本的同时提高系统的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Motion States Recognition System Based on Ultrasound for Automatic Door Management
The paper describes a novel motion states recognition system based on ultrasound to make up for the shortcomings of existing motion states recognition systems. Characteristics of this system are shown as follows: The motion states of people beside the door can be identified quickly and exactly by motion states recognition algorithm based on Doppler effect, an innovative divisional detection algorithm has been brought forward to estimate the number of people who want to go across the automatic door, the ultrasonic sensor gives a good performance on anti-interference in addition to its low energy consumption and price. Therefore, using ultrasonic probes can improve the performance of the system while reducing the cost.
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