Implementação de um sistema de monitoramento inteligente com rastreamento de veículos e identificação de placas utilizando visão computacional

Abstract

This study focuses on enhancing vehicle monitoring through Computer Vision and Optical Character Recognition (OCR). With the constant increase in the vehicle fleet, developing more advanced monitoring systems has become crucial. The study presents an efficient algorithm to identify vehicle plate characters, tested and validated at the Instituto Federal do Piauí (IFPI) campus Floriano parking lot. The methodology involved extensive literature review, acquisition, and training of data from two different databases, and the development and testing of the proposed model. This algorithm provides valuable support to professionals responsible for surveillance and monitoring in specific environments, highlighting promising prospects to optimize security systems and efficiency in vehicle monitoring. The integration of advanced Computer Vision and OCR techniques emerges as a practical and accessible solution, streamlining vehicle identification and tracking processes, thereby contributing to the advancement of monitoring and road safety systems.