Visual Assistance System for the Visually Impaired people based on Image Recognition Technology

Abstract

In recent years, with the development of Artificial Intelligence and Image Recognition Technology, the exploitation of assistive equipment for the disabled has become one of its popular application directions. In this research, we took STM32 as the core, build a convolutional neural network models for the living environment of visually impaired people, and designed an intelligent hardware device. The equipment also includes image acquisition, distance measurement, information broadcast and other modules, which finally realizes the effect of playing the recognition object name, distance and other information in real time. This paper introduces the working principle of various modules in the equipment, and provides a feasible idea for the application of image recognition technology in the auxiliary equipment for the blind.