集成电路与嵌入式系统2025，Vol.25Issue(3)：9-14,6.DOI:10.20193/j.ices2097-4191.2024.0051
基于机器视觉辅助避障的导盲手杖设计
Design of guide cane based on machine vision assisted obstacle avoidance
曹钰 1刘玫 1刘景行 1王远1
作者信息
- 1. 吉林大学仪器科学与电气工程学院,长春 130022
- 折叠
摘要
Abstract
The travel and daily activities of visually impaired individuals typically rely on guide dogs,walking sticks,or assistance from others.However,with the advancement of economic development,urban planning is becoming increasingly dense.The complexity of urban layout and road design has significantly increased.Consequently,these traditional methods are no longer sufficient to meet the daily needs of blind individuals.Therefore,it is crucial to prioritize attention towards the visually impaired community and enhance their quality of life.This design focuses on machine vision techniques for denoising,filtering,and target calibration in color information and depth images.Subsequently,machine learning training is employed to achieve image-based functions such as color recognition,obstacle detection,and distance measurement.The analysis results are then converted into audio signals which are outputted through voice feed-back to provide users with walking suggestions while alerting them about obstacles that cannot be observed in advance.The ultimate goal is to offer obstacle avoidance services for visually impaired individuals by minimizing the impact of unforeseen obstacles during mobility.关键词
机器视觉/人工神经网络/导盲手杖/图像处理/OpenMVKey words
machine vision/artificial neural network/guide cane/image processing/OpenMV分类
计算机与自动化引用本文复制引用
曹钰,刘玫,刘景行,王远..基于机器视觉辅助避障的导盲手杖设计[J].集成电路与嵌入式系统,2025,25(3):9-14,6.
