The Development of Indoor Object Recognition Tool for People with Low Vision and Blindness

Autor:	Rhio Sutoyo, Andry Chowanda
Jazyk:	angličtina
Rok vydání:	2017
Předmět:	object recognition computer vision tool blindness low vision Technology Engineering (General). Civil engineering (General) TA1-2040 Science
Zdroj:	ComTech, Vol 8, Iss 2, Pp 77-82 (2017)
Druh dokumentu:	article
ISSN:	2087-1244 2476-907X
DOI:	10.21512/comtech.v8i2.3763
Popis:	The purpose of this research was to develop methods and algorithms that could be applied as the underlying base for developing an object recognition tools. The method implemented in this research was initial problem identification, methods and algorithms testing and development, image database modeling, system development, and training and testing. As a result, the system can perform with 93,46% of accuracy for indoor object recognition. Even though the system achieves relatively high accuracy in recognizing objects, it is still limited to a single object detection and not able to recognize the object in real time.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/3d7aebd3b7184dc79cded36bc5c90a6f Zobrazit plný text záznamu View record in DOAJ