Name: Francis de Melo Marconcini
Type: MSc dissertation
Publication date: 17/08/2022
Advisor:

Namesort descending Role
Evandro Ottoni Teatini Salles Co-advisor *
Marcelo Eduardo Vieira Segatto Advisor *

Examining board:

Namesort descending Role
Camilo Arturo Rodriguez Diaz Internal Examiner *
Evandro Ottoni Teatini Salles Co advisor *
Marcelo Eduardo Vieira Segatto Advisor *
Maxwell Eduardo Monteiro External Examiner *

Summary: 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 paper 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.

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