• Chitra Nambirajan Thevar

Visually impaired people can’t move safely outdoors because they cannot perceive the outside obstacles as normal people. The prototype application in this study aims to make the visually impaired people's lives easier with the mobile devices. The mobile application with the designed to see object nearby and read any text documents.The application is developed for the Android platform. Image processing and machine learning technologies are used. Blind assistance is promoting a widely challenge in computer vision such as navigation and path finding. In this paper, two modules are designed text recognition and object detection are employed to provide the necessary information about the surrounding environment. Objects detection is used to find objects in the real world from an image of the world such as faces, bicycles, chairs, doors, or tables that are common in the scenes of a blind. Object detection is used to detect any obstacle at a medium to long distance. YOLOV2 machine learning algorithm is used to perform the object recognition and Google Vision Cloud API is used to perform Text Recognition. The proposed method for the blind aims at expanding possibilities to people with vision loss to achieve their full potential. The experimental results reveal the performance of the proposed work in about real time system.

Image Processing, Machine learning, Visually Impaired

"Real-Time Mobile Application for Assisting Blind People Using YoloV2 and Google cloud vision API", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 8, page no.2139-2144, August-2020, Available :http://www.jetir.org/papers/JETIR2008284.pdf

"Real-Time Mobile Application for Assisting Blind People Using YoloV2 and Google cloud vision API", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 8, page no. pp2139-2144, August-2020, Available at : http://www.jetir.org/papers/JETIR2008284.pdf