A crowd-based explosive detection system with two-level feedback sensor calibration
A crowd-based explosive detection system with two-level feedback sensor calibration
复制标题
具有两级反馈传感器校准的基于人群的爆炸物检测系统
DOI：
10.1145/3400302.3415670
复制
发表时间：
2020
期刊：
影响因子：
--
通讯作者：
Orailoglu, Alex
中科院分区：
文献类型：
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作者：
Yang, Chengmo;Cronin, Patrick;Agambayev, Agamyrat;Ozev, Sule;Cetin, A. Enis;Orailoglu, Alex
大型、开放的公共活动，如马拉松和节日，总是提出了独特的安全挑战。这些庞大的活动，可以占据整个城市街区或绵延数英里，可以吸引数万至数十万观众，在某些情况下可以开放入场。由于这是不切实际的，以保证每一个事件的观众进行安全检查，我们提出了一个基于人群的爆炸物检测系统，使用大量的低成本ChemFET传感器，这些传感器被分发给与会者。由于传感器提供有限的准确性，我们进一步提出了一个基于服务器的决策框架，利用传感器和服务器之间的两级反馈回路，并探讨收集的数据的空间和时间的局部性，以克服固有的低准确性的个别传感器。我们彻底探索了两种不同的检测方案，强调它们在无数条件下的性能，从而表明这种基于人群的检测系统由低成本和低精度的传感器组成，可以提供高检测精度，误报率最低。
Large, open, public events, such as marathons and festivals, have always presented a unique safety challenge. These sprawling events, which can take up entire city blocks or stretch for many miles, can draw tens to hundreds of thousands of spectators and in some cases have open admission. As it is impracticable to guarantee the subjection of every event-goer to a security screening, we propose a crowd-based explosive detection system that uses a multitude of low-cost ChemFET sensors which are distributed to attendees. As the sensors offer limited accuracy, we further propose a server-based decision-making framework that utilizes a two-level feedback loop between the sensors and the server and explores spatial and temporal locality of the collected data to overcome the inherent low-accuracy of individual sensors. We thoroughly explore two distinct detection schemes, stressing their performance under a myriad of conditions, thus showing that such a crowd-based detection system comprised of low-cost and low-accuracy sensors can deliver high detection accuracy with minimal false positives.