From dependency to autonomy: low-cost technological system for independent mobility of blind people in urban environments.

Abstract

Visual impairment significantly impacts the quality of life of blind individuals, particularly their ability to move independently. This study presents the development of a low-cost assistive technology system that integrates artificial intelligence, computer vision, and GPS location systems to improve the independence of blind pedestrians in unfamiliar urban environments. The system detects traffic lights and pedestrian crossings and provides real-time location information via audio. Results from 957 object detection tests and 700 location tests demonstrated 100% effectiveness, significantly contributing to breaking down the social barriers faced by people with visual impairments and improving their community participation and independence.