Vehicle detection using an infrared light emitter and a photodiode as visualization system

Abstract

Nowadays, different devices are used for traffic control and accidents prevention in urban junctions. The most popular systems for vehicles detection are: inductive loop vehicle detector systems and camera detector systems. However, these systems have some weaknesses. Basically, in installation and maintenance for the first one and complex processing algorithms for the second one. This paper presents an alternative method to vehicles detection and speed estimation using an infrared emitter and a photodiode as visualization system. The main advantage lies in that it is a non-intrusive method and installation does not requires pavement cut. Possible measuring errors can be compensated with different techniques as artificial intelligence - and other mathematic models. In this application we used functions defined by parts.