N. Ramanathan, Allison Beach, R. Hastings, Weihong Yin, Sima Taheri, P. Brewer, Dana Eubanks, Kyoung-Jin Park, Hongli Deng, Zhong Zhang, Donald Madden, Gang Qian, Amit Mistry, Huiping Li
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引用次数: 0
摘要
自动访问控制需要实时自动检测进入的车辆,并只允许授权的车辆进入。访问控制系统通常采用一个或多个传感器,如感应回路、光阵列传感器、无线磁力计等,在接入点检测车辆。本文1详细介绍了一种名为“虚拟电感回路”(VIL)的实时视频分析系统,我们开发了它作为访问控制的另一种经济高效的解决方案。VIL系统的准确率和召回率超过98%,在检测事件发生的延迟方面与当前系统相当,并进一步为访问控制系统增加了一套额外的功能,如车辆分类、尾门检测和异常事件检测。该系统在美国海军设施的不同地点进行了为期两年的现场测试。该项目由海军研究办公室资助(# n00014 - 17 - c -7030)。
Virtual Inductive Loop: Real time video analytics for vehicular access control
Automated access control entails automatically detecting incoming vehicles in real-time and allowing access only to authorized vehicles. Access control systems typically adopt one or more sensors such as inductive loops, light array sensors, wireless magnetometers in detecting vehicles at access points. This paper 1 provides a detailed account on a real-time video analytics system named the “ Virtual Inductive Loop ” (VIL), that we developed as an alternative cost-efficient solution for access control. The VIL system poses precision and recall rates over 98%, performs on par with current systems in latency towards detecting event onset and further adds a suite of additional capabilities to access control systems such as vehicle classification, tailgate detection and unusual event detection. The system was tested in live conditions in different site at a Naval Facility in the United States over a two year period. The project was funded by the Office of Naval Research (#N000l4-l7-C-7030).