开放环境路标识别系统,供视障人士使用

IF 0.4 Q4 ENGINEERING, MULTIDISCIPLINARY
Yesenia González, A. Millan, Y. Sanchez, C. Ortiz, M. Alemán, C. Hernández
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引用次数: 0

摘要

这项工作展示了一个原型的发展,允许通过人工视觉技术识别特定的标志。它采用基于SLIC超像素算法的图像分割阶段,然后是基于卷积神经网络的符号识别和分类阶段,并已在简单板计算机(SBC)上实现。原型机通过发送到耳机的音频信息告知用户这些标志的识别,它有一个GPS模块,可以获得标识被识别的位置,并存储起来,为用户提供有关附近标志的通知。测试在自然光线下的开放空间中以1:1的比例进行。该原型旨在为视障人士在开放的城市环境中提供支持。报告了加工时间和原型性能。虽然在所选的简单板计算机上实现由于操作时间的原因使其无法使用,但演示了系统的功能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sistema de Reconocimiento de Señalamientos en Entornos Abiertos para la Orientación de Personas con Discapacidad Visual
This work presents the development of a prototype that allows identifying specific signs through artificial vision techniques. It uses an image segmentation stage based on the SLIC superpixel algorithm, followed by a sign recognition and classification stage based on convolutional neural networks and has been implemented in a simple-board computer (SBC). The prototype informs the user of the identification of these signs through an audio message sent to headphones, it has a GPS module that obtains the location where the sign was recognized and is stored to offer the user notifications about nearby signs. The tests were performed with 1: 2 scale signs in open spaces, with natural light. The prototype is intended as a support for visually impaired people to move in open urban environments. Processing times and prototype performance are reported. Although the implementation in the selected simple-board computer makes its use unfeasible due to operating times, the functionality of the system is demonstrated.
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来源期刊
Memoria Investigaciones en Ingenieria
Memoria Investigaciones en Ingenieria ENGINEERING, MULTIDISCIPLINARY-
自引率
0.00%
发文量
6
审稿时长
16 weeks
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