首页|基于图像处理技术的智能导盲眼镜的设计

基于图像处理技术的智能导盲眼镜的设计

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本文聚焦于基于图像处理技术的智能导盲眼镜设计开发,针对当前市场上导盲眼镜存在的障碍物识别精度不足、佩戴不适以及紧急求助能力有限等问题,提出了基于图像处理技术的改良方案。设计采用了STM32F103C8T6单片机作为控制核心模块,并集成了TSL1401线性摄像头和HC-SR04超声波传感器。线性摄像头通过YOLOv3卷积神经网络实现交通标识(如红绿灯)的识别,而超声波传感器则用于精确测量用户与障碍物之间的距离。此外,设计还考虑了数据隐私保护、视觉保障和操作安全等方面的问题,确保产品的实用性和安全性。相较于传统导盲设备,本产品利用YOLOv3的高精度目标检测能力,实现了实时、准确的障碍物识别和导航服务,同时降低了功耗,延长了续航时间。这一创新设计有望为视障人士提供更加便捷、安全的导盲辅助工具。
Design of Intelligent Guide Glasses based on Image Processing Technology
This paper focuses on the design and development of intelligent guide glasses based on image processing technology,and proposes an improvement scheme based on image processing technology in view of the problems existing in the current market such as insufficient obstacle recognition accuracy,wearing discomfort and limited emergency help ability.STM32F103C8T6 MCU is used as the control core module,and TSL1401 linear camera and HC-SR04 ultrasonic sensor are integrated.The linear camera uses the YOLOv3 convolutional neural network to recognize traffic signs,such as traffic lights,while ultrasonic sensors are used to precisely measure the distance between the user and obstacles.In addition,the design also takes into account data privacy protection,visual assurance and operational safety and other issues to ensure the practicality and security of the product.Compared with traditional guide equipment,this product utilizes YOLOv3's high-precision target detection capability to realize real-time and accurate obstacle identification and navigation services,while reducing power consumption and extending battery life.This innovative design is expected to provide more convenient and safe guide AIDS for the visually impaired.)

intelligent guide for the blindimage processing technologyblind glasses

温爱华、郑小彬、陈裕海、江欣庭、欧兆熙

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广东培正学院,广州 518000

智能导盲 图像处理技术 导盲眼镜

2024

数码设计

数码设计

ISSN:1672-9129
年,卷(期):2024.(16)