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Desarrollo de una aplicación móvil mediante la integración de realidad aumentada y comunicación oral

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2016-09
Defense date
2016-10-03
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Abstract
This Bachelor project aims to create an augmented reality application which uses computer vision algorithms and technologies to provide assistance to the visually impaired in their daily tasks. The specific purpose of the application is to recognize scenes and objects after capturing them using the device’s native camera. Colour recognition is also present to aid in identifying objects and their properties such as their size and distance from the capturing device, such functionality may also help individuals which suffer from colour blindness. The application also interacts with the user by speech, effectively establishing a Speech Dialogue System (SDS). The general planning of this project was done considering the gained knowledge from project development courses done within the University of Carlos III, Madrid. In such, the required research and development was divided in a set number of stages, each with an independent number of tasks. This methodology has allowed us to define three major stages: Planning, Execution and Closing. A Work Breakdown Structure (WBS) has been used to make the structuring of the project’s planning easier. For the development of the application, JAVA programming language was used within the Android Studio development environment. OpenCV libraries were imported and used to implement the functionalities of the developed system. The final version of the application has thus used computer vision as a tool to provide additional information over real world scenes both with on screen representation and audible messages. As future work it would be interesting to reduce the computational load of computer vision algorithms. It would perhaps be convenient to further improve the OpenCV library and its recent API on Android.
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Android, Augmented reality, Computer vision, OpenCV, Speech dialogue systems
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