000			02025naa a2200301 a 4500
003			AR-LpUFIB
005			20250311170500.0
008			230201s2018 xx r 000 0 eng d
024	8		_aDIF-M8027 _b8243 _zDIF007330
040			_aAR-LpUFIB _bspa _cAR-LpUFIB
100	1		_aFeierherd, Guillermo E.
245	1	0	_aComparison of services for the recognition of flora images : _buses in augmented reality and tourism
300			_a1 archivo (264,3 kB)
500			_aFormato de archivo PDF. -- Este documento es producción intelectual de la Facultad de Informática - UNLP (Colección BIPA/Biblioteca)
520			_aTourism information services are evolving rapidly. With Internet, tourists organize their trips by managing information before arriving at their destination. Nature is the main tourist attraction in Argentina. However, the information tools as field guides, have had few improvements in their digital version compared to printed ones. This work compares machine learning, deep learning, artificial intelligence and image recognition services, to evaluate the app development for mobile phones that offers the recognition in real time of flora species in natural areas with low or no internet connectivity. Recognition of three Nothofagus tree species were evaluated in the Tierra del Fuego National Park, using IBM Watson and Microsoft Azure, with good results in general. A next iteration of this work expects to use assisted learning to improve the efficiency of the neural network obtained to know the adaptation capacities for each evaluated service.
534			_aCongreso Argentino de Ciencias de la Computación (24to : 2018 : Tandil, Argentina)
650		4	_aREALIDAD AUMENTADA
650		4	_aVISIÓN POR COMPUTADORA
653			_aturismo
653			_areconocimiento de imágenes
700	1		_aGonzález, Federico
700	1		_aViera, Leonel
700	1		_aSoler, Rosina
700	1		_aRomano, Lucas
700	1		_aDelía, Lisandro Nahuel
700	1		_aDepetris, Beatriz O.
942			_cCP
999			_c57105 _d57105