Banca de DEFESA: JONAS FERNANDES DA SILVA

Uma banca de DEFESA de MESTRADO foi cadastrada pelo programa.
DISCENTE: JONAS FERNANDES DA SILVA
DATA: 19/02/2016
HORA: 14:00
LOCAL: Centro de Informática
TÍTULO: Uma solução de baixo custo para o processamento de imagens aéreas obtidas por câmeras não-métricas acopladas a Veículos Aéreos não Tripulados (VANT)
PALAVRAS-CHAVES: Monitoramento agrícola, Sistemas embarcados, processamento de imagens, veículos aéreos não tripulados
PÁGINAS: 130
GRANDE ÁREA: Ciências Exatas e da Terra
ÁREA: Ciência da Computação
RESUMO: Currently, unmanned aerial vehicles (UAVs) are increasingly used to aid the various tasks around the world. The popularization of this equipment associated with the advancement of technology, particularly the miniaturization of processors, extend their functionalitys. In agricultural applications, these devices allow monitoring of production by capturing aerial images, for which they are processed and identified areas of interest through specific software. This work proposes a low-cost solution capable of processing aerial images obtained by non-metric digital cameras coupled to UAVs to identify gaps in plantations and/or estimate levels of environmental degradation, it is possible its implementation in small computers and low power consumption. Embedded systems coupled in UAVs allow perform processing in real time, which contributes to a preventive diagnosis, reduces the response time and can avoid damages in the crop. The algorithm used is based on watershed, while the second algorithm uses classification techniques based on the 1-Nearest Neighbor (1-NN). The system is developed in C ++ with use of computer vision software library OpenCV. Are used the embedded systems DE2i-150 and Intel Edison, both x86 architecture, and Raspberry Pi 2 of ARM architecture. Moreover, the technique 1-NN showed higher tolerance to lighting problems, however, require more processing power compared to the algorithm based on watershed. The results show that the proposed system is an efficient and relatively low-cost solution compared to traditional means of monitoring and can be coupled in a UAV to perform the processing during the flight.
MEMBROS DA BANCA:
Presidente - 2579537 - ALISSON VASCONCELOS DE BRITO
Interno - 337324 - JOSE ANTONIO GOMES DE LIMA
Interno - 1167863 - LEONARDO VIDAL BATISTA
Externo à Instituição - JOSEANA MACEDO FECHINE