Xenon: um sistema para gerenciamento de acesso de automóveis por reconhecimento de imagens

Abstract

The emergence of machine learning algorithms has provided new fields of studies in computing and diverse applicability in the real world. Many of these applications are related to computer vision, which studies image processing to interpret and evaluate the information contained therein. As an example of such applications are the Automated License Plate Recognition Systems (ALPR), which are intended to recognize the characters that make up a license plate. ALPR technology is widely used in traffic and parking monitoring systems. In this sense, the current work consists in the development of a web application integrated to an ALPR, implemented in Raspberry in the context of Internet of Things to assist in the management of vehicle access to the parking lot of the Federal University of Technology – Paraná – Guarapuava Campuses. This application is called Xenon.