Blind guidance system based on image recognition and convolutional neural network

Abstract

This paper applies straight-line driving technology and pothole detection technology in the field of unmanned driving and edge detection in image recognition to the blind guide system. Researched and produced an intelligent, popular, safe and reliable intelligent blind guide system. This blind guide system uses Python and OpenCV as the development environment under the Linux operating system to realize image recognition and integrate functions on the Jetson nano development board. Through the simulation and analysis of scenes such as the life and travel of the blind, the designed blind guidance system mainly realizes the following functions: image recognition, traffic light recognition, zebra crossing detection, road pothole detection, voice interaction, and assisting straight-line walking.