Um sistema de vigilância inteligente de baixo custo aplicado ao rastreamento de placas veiculares

Abstract

The growth of urban centers has a major impact on our lives and on our society, one of which is the increase in the vehicle fleet, which in turns is a major offender in increasing road congestion, pollution, accidents, theft of vehicles, among others. With a focus on minimizing problems with theft of vehicles in an urban environment this dissertation proposes a low cost Internet of Things for smart surveillance system. The central element of the system is attached to a vehicle that travels in an urban environment making Automatic License Plate Recognition of the vehicles license plates in front of it. The information collected is forwarded to a cloud service that is responsible for monitoring restricted vehicle license plates to view positioning, time, date and statistics related to restricted vehicle license plates. The low cost of implementing the system allows it to be scaled to a fleet of vehicles, making it possible to build a mobile intelligent surveillance network, amplifying the monitoring capacity of an urban area. Experimental results obtained in test paths in an uncontrolled urban environment show promising results.