采用自主移动救援机器人的活体检测系统

Sandeep Bhatia, Hardeep Singh Dhillon, Nitin Kumar
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引用次数: 31

摘要

本文提出了一种利用自主机器人在破坏环境中探测活人的新方法。在无人区域,只有自动化系统才能进行人工检测。活体人体检测系统提出了一种利用超声波传感器和摄像机对人体状况进行记录、传输和分析的监测系统。在救援行动中,识别人的任务对机器人代理来说是困难的,而对人类代理来说是简单的。为了检测人体,自主机器人必须配备一套特定的传感器,以提供有关周围环境中有人存在的信息。这项工作描述了一种用于救援行动的自主机器人。提出的系统使用超声波传感器来检测活人的存在,并使用低成本摄像机来获取所需的场景视频。此外,其他传感器包括温度,火灾和金属探测器作为炸弹传感器,在沃菲尔德和救援行动中探测炸弹的存在。检测到活人的迹象后,超声波传感器触发摄像头显示现场。然后视频显示在屏幕上。这种方法在救援过程中需要获取和处理的数据数量相对较少。这样,处理和数据传输的实时成本大大降低。该系统有潜力实现在破坏环境中相对快速和经济有效地检测活人的高性能。检测取决于许多因素,如身体位置和场景的光强度。结果表明,该系统为跟踪人体运动提供了一种有效的方法。本文的目的是介绍我们设计和开发各种传感器的经验。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Alive human body detection system using an autonomous mobile rescue robot
In this paper, a new approach for detecting alive humans in destructed environments using an autonomous robot is proposed. Human detection in an unmanned area can be done only by an automated system. Alive human body detection system proposed a monitoring system using ultrasonic sensors and camera to record, transmit and analyze conditions of human body. The task of identify human being in rescue operations is difficult for the robotic agent but it is simple for the human agent. In order to detect a human body, an autonomous robot must be equipped with a specific set of sensors that provide information about the presence of a person in the environment around. This work describes an autonomous robot for rescue operations. The proposed system uses an ultrasonic sensor in order to detect the existence of living humans and a low-cost camera in order to acquire a video of the scene as needed. Additional, other sensors include temperature, fire and metal detector works as bomb sensor to detect the presence of bomb in Warfield and in rescue operations. Having detected a sign of a living human, the ultrasonic sensor Triggers the camera to show live scene. The video is then displayed on the screen. This approach requires a relatively small number of data to be acquired and processed during the rescue operation. This way, the real-time cost of processing and data transmission is considerably reduced. This system has the potential to achieve high performance in detecting alive humans in devastated environments relatively quickly and cost-effectively. The detection depending on a number of factors such as the body position and the light intensity of the scene. Results show that the system provides an efficient way to track human motion. The aim of this article is to present our experience with various sensors designed and developed.
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