Bacharelado em Sistemas de Informação (Sede)
URI permanente desta comunidadehttps://arandu.ufrpe.br/handle/123456789/12
Siglas das Coleções:
APP - Artigo Publicado em Periódico
TAE - Trabalho Apresentado em Evento
TCC - Trabalho de Conclusão de Curso
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2 resultados
Resultados da Pesquisa
Item Desenvolvimento de um sistema auxiliar para controle de acesso de veículos para a Universidade Federal Rural de Pernambuco(2024-03-08) Izidio, Stefany Vitória da Conceição; Garrozi, Cícero; http://lattes.cnpq.br/0488054917286587; http://lattes.cnpq.br/0642557485551355Currently, vehicle access control to the Federal Rural University of Pernambuco is done manually on paper by university employees. There is also direct release for vehicles that register with the university and receive a specific sticker to use on the windshield. This type of control is not very safe, as it can be easily cloned and used by vehicles without real authorization. Furthermore, there is a short diversion of the employee's attention when he performs the manual work of writing down the sign on paper. This work aims to make the vehicle control process more reliable and safe through the development of a prototype of a system that assists in access control. This work proposes a solution by capturing an image of the license plate, identifying the vehicle plate and checking in a database whether the plate is previously registered or not. And, the system produces a light signal to indicate to the employee whether the license plate is registered or not. To achieve this, a hardware product was assembled and embedded software was developed. The hardware consists of a set of electronic devices such as LEDs, camera, processing device, etc. The software is a set of libraries that were, for the most part, developed in Python. For the embedded software, a set of images with photos of Brazilian car license plates was used to train an object detection model to detect the license plates. Finally, an optical character recognition service was used to extract the content of the plate, thus making it possible to register and emit the light signal to the user.Item Avaliação de plataformas para o reconhecimento de placas veiculares brasileiras(2021-12-14) Amaral, Carlos Ivan Santos do; Garrozi, Cícero; http://lattes.cnpq.br/0488054917286587; http://lattes.cnpq.br/8099840025648951With the growing number of private vehicles in Brazil, better methods for managing and inspecting the vehicle fleet is becoming increasingly necessary. License plates (LP) are unique and mandatory objects with the purpose of identifying the vehicle as well as its owner. It is recommended that the efficient collection of information on license plates be performed by automated systems for LP detection and recognition. These systems are fundamental for the supervision and management of different activities related to vehicle traffic. In this regard, this paper presents a study that identifies methods for LP detection and recognition with algorithms based on machine learning and deep learning. To produce this experiment, we succeeded in collecting an image bank of vehicles in toll plazas that are located in the municipality of Cabo de Santo Agostinho - PE and provide access to the Governador Eraldo Gueiros Port Industrial Complex - SUAPE. The objective of this work was to provide a comparison between Microsoft Azure's computer vision service for LP object detection in conjunction with Google Vision's Optical Character Recognition (OCR) services with the YOLO v4 Deep Learning algorithm. The result of the experiment showed that under similar configuration conditions in both models studied, YOLO v4 performed better, achieving a 92% precision rate in license plate detection and recognition.