Blind Assistive System Based on Real Time Object Recognition using Machine Learning


Healthy people carry out their daily lives normally, but the visually impaired andthe blind face difficulties in practicing their daily activities safely because they areignorant of the organisms surrounding them. Smart systems come as solutions tohelp this segment of people in a way that enables them to practice their dailyactivities safely as possible. Blind assistive system using deep learning based YouOnly Look Once algorithm (YOLO) and Open CV library for detecting andrecognizing objects in images and video streams quickly. This work implementedusing python. The results gave a satisfactory performance in detecting andrecognizing objects in the environment. The results obtained are the identificationof the objects that the Yolo algorithm was trained on, where the persons, chairs,oven, pizza, mugs, bags, seats, etc. were identified.