RFID Based Tire Classification Algorithm Using Support Vector Machines

Abstract

Radio frequency identification (RFID) readers record enormous amounts of data from passive tags located throughout the environment. Due to the large data sets RFID readers collect, machine learning approaches can be used to train robust models. This paper develops an RFID based tire classifier using support vector machines (SVMs). The algorithm correctly identifies all tires in a lab environment and simulations show how the algorithm performs with increased path attenuation.