YOLOv5 and EfficientDet based Object Detection and Classification for Visually Impaired

30 Jun

Authors: Khushi Sinha, Esha Garg, Gaurav Singal, Preeti Kaur

Abstract: This research presents a novel approach that utilizes the EfficientDet model to address the challenges faced by people with visual impairments in recognizing their environment. The project focuses on the integration of state-of-the-art computer vision technology into assistive devices, specifically blind sticks, to improve the perception of the environment. The EfficientDet model, known for its superior efficiency- accuracy tradeoff, is trained to detect and classify different objects in real time providing valuable insights to users. The project contributes to the field of assistive technology by using state-of-the-art machine learning models to improve accessibility and autonomy for people with visual impairments.

DOI: https://doi.org/10.5281/zenodo.21067362