Análisis de imagen aplicada a la gestión de aeropuertos
Visualitza/Obre
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/348869
Correu electrònic de l'autormartinmarcellangmail.com
Tipus de documentTreball Final de Grau
Data2021-06-28
Condicions d'accésAccés obert
Llevat que s'hi indiqui el contrari, els
continguts d'aquesta obra estan subjectes a la llicència de Creative Commons
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Reconeixement-NoComercial 3.0 Espanya
Abstract
As the title suggests, the project is about applying image processing techniques to airportmanagement. Concretely, about the recognizement of aircraft by detecting their registra-tion.The first thing to do to get the registration of an aircraft is taking a photo of it. In order todo that, a motion detector takes photos of the aircraft when the aircraft is in front of thecamera. The photos are sent to a server that is used as a storage unit, then the clientdownloads groups of photos to begin the processing stage. The first step is an objectdetection deep learning algorithm which finds and identifies all the objects that appear ineach photo. Knowing the position and the size of the airplanes that appear in each photo,the client chooses the best three photos.The selected photos advance to the next processing step which consists in a deep learn-ing optical character recognition (OCR) algorithm. The result of processing photos withthe OCR is the transcription of all the texts that appear in the image. The only interestingtexts for this project are the registrations, so post processing filters are in charge of dis-carding every text that does not look like a registration. Finally, the system decides whichregistration appears in the image by comparing the results of the OCR to a list of possibleregistrations. By using this system, a 91% accuracy has been reached with a group of 66images.The main aims of the system are the control of the take off and landing operations in nocontrolled airports and the control of the parkings and hangars to locate any aircraft in theairport using the security camera images.
MatèriesOptical character recognition, Airports -- Management, Aeroports -- Direcció i administració
TitulacióGRAU EN ENGINYERIA DE SISTEMES AEROESPACIALS/GRAU EN ENGINYERIA DE SISTEMES DE TELECOMUNICACIÓ (Pla 2015)
Fitxers | Descripció | Mida | Format | Visualitza |
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memoria.pdf | 1,853Mb | Visualitza/Obre |