Paper Key : IRJ************391
Author: Mr. Rahul Dhokane,Rohit Sanap,Vaishnavi Ghuge,Pooja Jadhav,Ankita Kangane
Date Published: 11 Apr 2025
Abstract
Vision is one of the very essential human senses and it plays the most important role in human perception of our environment, unfortunately there are many people who are visually impaired. Blind people today rely on sighted guides, seeing-eye dogs and canes even a century after these came into existence. The present work aims to aid the blind through a wrist wearable. The wearable is designed to capture the user's environment through a camera and recognize the objects present in image. These identified objects are informed to user through an audio output. The object recognition is achieved through OpenCV.YOLO uses a similar phase while training, to match the appropriate anchor box with the bounding boxes of each ground truth object within an image. Essentially, the anchor box with the highest degree of flap with an object is responsible for predicting that object's class and its location. It has microcontroller which has wi-fi inbuilt module. This guide is convenient and offers data to the client to move around in new condition, regardless of whether indoor or open air, through an ease to use interface.
DOI Requested