Environment Model Configuration from Low-quality Videosment Model Configuration from Low-quality Videos
DOI. 10.54798/IOMB8379
Palabras clave:
Blind people assistance, Video processing, Object detection, Data Mining, Environment configuration.Resumen
This article aims to describe main findings on a prototype for assisting blind people. To improve its functioning the main approach is to build a model dynamically using Intelligent System and Machine Learning. After several partial models the prototype is able to detect and recognize the outline of a user environment, specifically to determine the spatial organization of multiple objects. This paper encompasses a comprehensive set of activities aimed at evaluating and enhancing a system with efficient metrics for feature assessments upon, video , image segmentation, and data mining on the fly. Additionally, this work covers automatic image tagging, and a set of risk rules. It also evaluates and depicts specific techniques and approaches to be applied to create models with high pattern-detection efficiency. The algorithm used is required to be light and quick, in order to be used in standard cell phones to assist blind people and provide meaningful information to the user. As part of the current paper a small statistical analysis is also performed.
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