A field experience for a vehicle recognition system using magnetic sensors

This paper describes the development and testing of a vehicle recognition prototype based on magnetic sensors. The aim of this research is to design a low cost, low power consumption and simple hardware platform for vehicle recognition. The goal is to recognize four types of vehicles (car, bus, mini-bus or camper) as they run over a set of magnetic sensors. We describe all steps for correct vehicle presence detection, pattern preprocessing, speed and length detection using a combination of an empirical and an analytical method for signal alignment. We collected a set of data regarding this types of vehicles and explain how to differentiate them. Our classification tests reach a confidence factor greater than 91%.