A wireless sensor network design and implementation for vehicle detection, classification, and tracking

A. Aljaafreh; A. Al Assaf

doi:10.1117/12.2029835

6 June 2013 A wireless sensor network design and implementation for vehicle detection, classification, and tracking

A. Aljaafreh, A. Al Assaf

Proceedings Volume 8713, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X; 871305 (2013) https://doi.org/10.1117/12.2029835
Event: SPIE Defense, Security, and Sensing, 2013, Baltimore, Maryland, United States

Abstract

Vehicle intrusion is considered a significant threat for critical zones specially the militarized zones and therefore vehicles monitoring has a great importance. In this paper a small wireless sensor network for vehicle intrusion monitoring consists of a five inexpensive sensor nodes distributed over a small area and connected with a gateway using star topology has been designed and implemented. The system is able to detect a passage of an intrusive vehicle, classify it either wheeled or tracked, and track the direction of its movement. The approach is based on Vehicle’s ground vibrations for detection, vehicle’s acoustic signature for classification and the Energy- based target localization for tracking. Detection and classification are implemented by using different algorithms and techniques including Analog to Digital Conversion, Fast Fourier Transformation (FFT) and Neural Network .All of these algorithms and techniques are implemented locally in the sensor node using Microchip dsPIC digital signal controller. Results are sent from the sensor node to the gateway using ZigBee technology and then from the gateway to a web server using GPRS technology.

Citation Download Citation

A. Aljaafreh and A. Al Assaf "A wireless sensor network design and implementation for vehicle detection, classification, and tracking", Proc. SPIE 8713, Airborne Intelligence, Surveillance, Reconnaissance (ISR) Systems and Applications X, 871305 (6 June 2013); https://doi.org/10.1117/12.2029835

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