Published Paper Details:

According to statistics from the World Health Organization (WHO), at least 285 million people are visually impaired or blindness. Blind people generally have to rely on white canes, guide dogs, screen-reading software, magnifiers, and glasses for navigation and surrounding object detection. Therefore, to help blind people, the visual world has to be transformed into the audio world with the potential to inform them about objects. In this paper, we propose a real-time object detection system to help visually impaired people in their daily life. This system consists of a Raspberry Pi in which YOLO (You Only Look Once) deep learning algorithm is employed. We will use YOLOv3 real-time Object Detection algorithm trained on the COCO dataset to identify the object present before the person. Then the label of the object is identified and then converted into audio by using Google Text to Speech (gTTS), which will be the expected output. This paper presents the development of a smart navigation for blind people using Google App Maker where we will develop our own API for Blind and low-vision users. Google App maker additionally, provides tools for developers who want to build accessibility features into their apps. In this project we will be using Raspberry pi to which we will make smart stick for blink people which will be embedded with moisture and ultrasonic sensor to detect the real time hurdles while walking with the Google Maps cloud attached to the raspberry pi for perfect navigation for the low-vision or blind people. This will make a smart system which will be very useful for the blind people and also at the same time more accurate and safe. The blind people interact with the system in voice. The cloud platform communicate with the smart phone using 4G technology. The proposed system can provide more abundant surrounding information and more accurate navigation, and verify the practicability of the newly proposed system