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Title: Desenvolupament d'una aplicació Android: cRoin - coin recognition
Author: Bros Maimó, Maricel
Clarisó, Robert  
Almirall López, Jordi
Ceballos Villach, Jordi
Abstract: We live in a time where technology has been moving very rapidly and has been fully integrated into our daily lives. The reason to do this work is to merge the benefits and scope that mobile devices offer with the world of artificial intelligence, in particular deep learning, as well as to make it available to users. Hence, cRoin, is an application of currency detection developed for Android in which the whole part of deep learning has been done with TensorFlow. cRoin identifies euro coins, save the completed recognition (with the location, date, capture of the identification, ...) as well as knows the value in other currencies or perform calculations. The methology to develop this project has been cascading development. It has been through several phases: planning, viability, initial analysis, user-centered design, system analysis, technical analysis, architecture design, implementation and testing. In the user-centered design, it has been defined which type of user is targeted as part of the challenge to position the market. The final features have been generated according to these requirements. The developed software is an Android Studio mobile application with Android SDK and Android NDK to incorporate the created model for the identification part. External APIs (currency converter, Google Maps, Firebase) or libraries (Espresso, TensorBoard) have been used. Along with the knowledge adquired during the master's degree and the realitzation of this work, a functional application that has been achieved. Most of the objectives of the project has been obtained.
Keywords: coin recognition
deep learning
Type: info:eu-repo/semantics/masterThesis
Issue Date: 9-Jan-2019
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Appears in Collections:Bachelor thesis, research projects, etc.

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File Description SizeFormat 
cRoin.zipCodi aplicació.104,82 MBUnknownView/Open
tensorflow-croin.zipCodi per a entrenar els models.125,14 MBUnknownView/Open


Presentació45,09 MBMP4View/Open
mbrosmTFM0119memòria.pdfMemòria del TFM15,2 MBAdobe PDFThumbnail
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