Object Detection Using Machine Learning For Blind People

Abstract

The object detection using machine learning for blind people solution leverages wearable ESP cams, microcontrollers, and a computing device to deliver real-time environmental information. This innovative approach significantly enhances mobility and independence for visually impaired individuals. Advanced technology reduces dependence on external assistance and improves spatial awareness, fostering greater self-reliance and minimizing reliance on visual information. Visual impairment, which affects over 43 million people globally, often leads to social isolation and a reduced quality of life. Traditional assistive technologies like white canes and guide dogs have inherent limitations. In contrast, smart glasses equipped with object detection technology provide real-time environmental information, substantially enhancing spatial awareness, increasing independence, and decreasing reliance on external assistance. This technological advancement offers a practical solution to the visually impaired's challenges. It contributes to improved quality of life and social inclusion, making assistive technology a significant step forward.