SmartEvacTrak: A people counting and coarse-level localization solution for efficient evacuation of large buildings

Nasimuddin Ahmed, Avik Ghose, A. Agrawal, C. Bhaumik, Vivek Chandel, Abhinav Kumar
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引用次数: 24

Abstract

Efficient evacuation of large buildings which seat more than twenty thousand people is a major challenge for building management authorities. Although many enterprise buildings have access control to count those entering various areas, such controls need to be switched off at times of emergency to avoid people getting trapped at a particular location. Hence, counting people during evacuation remains largely manual and error prone. Also, last known location based on access control from business management systems can be erroneous due to issues like tail gating. Accurate people counters like Radio Frequency Identification (RFID) often prove costly in large deployments. In this paper we present “SmartEvacTrak”, a low-cost evacuation system which can count people entering and exiting with over 98% accuracy and can also localize people at a coarse level with around 97% accuracy, from results obtained from an evacuation experiment performed on a set of 350+ people randomly exiting a building.
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SmartEvacTrak:用于大型建筑物高效疏散的人员计数和粗略定位解决方案
能容纳2万人以上的大型建筑的高效疏散是建筑管理部门面临的一大挑战。虽然许多企业大楼都有出入控制来统计进入各个区域的人数,但在紧急情况下,需要关闭这种控制,以避免人们被困在特定位置。因此,在疏散期间的人数统计仍然主要是人工的,而且容易出错。此外,基于来自业务管理系统的访问控制的最后已知位置可能由于诸如尾部控制之类的问题而出错。像射频识别(RFID)这样精确的人员计数器在大规模部署中往往成本高昂。在本文中,我们提出了“SmartEvacTrak”,这是一种低成本的疏散系统,可以计算进出人员的准确率超过98%,并且还可以根据对随机离开建筑物的350多人进行的疏散实验获得的结果,以大约97%的准确率粗略地定位人员。
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