基于机器视觉的可穿戴低视力辅助设备的实时危险检测

Jordan Andersen, E. Seibel
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引用次数: 8

摘要

可穿戴低视力辅助项目的目标是创建一种使用光学扫描虚拟视网膜显示器和可穿戴计算机技术来增强视力的辅助可穿戴设备。该系统由一个非常小的头戴式摄像头、可穿戴电脑和一个低成本的紧凑型视网膜显示器组成。这三个组件分别收集、解释和呈现关于室内和室外环境的信息。软件的作用是最大限度地增加进入眼睛的有用信息。图像处理的预期结果是识别路缘、楼梯和门口等常见的导航危险,并以几种格式之一将这些信息传达给低视力用户。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real-time hazard detection via machine vision for wearable low vision aids
The goal of the wearable low vision aid project is to create an assistive wearable device using optical scanning virtual retinal displays and wearable computer technologies for the enhancement of vision. The system is made up of a very small head-mounted camera, wearable computer and a low-cost compact retinal display. These three components collect, interpret and present in,formation about the indoor and outdoor environments respectively. The role of the software is to maximize the amount of useful information entering the eye. The anticipated result from the image processing is to identify the common navigational hazards of curbs, stairs and doorways and convey this information to a low vision user in one of several formats.
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