Virtual Inductive Loop: Real time video analytics for vehicular access control

Abstract

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).