Real-Time Object Detection and Audio Output System for Blind Users

Shiva Chaithanya Goud Bollipelly; P Swarnalatha

doi:10.4018/978-1-6684-8098-4.ch008

Abstract

This chapter aims to create a real-time object detection and audio output system for blind users using the YOLOv3 algorithm and a 360-degree camera sensor. The system is designed to detect a wide range of objects, including people, vehicles, and other objects in the environment, and provide audio feedback to the user. The system architecture consists of a 360-degree camera sensor, a processing unit, and an audio output system. The camera sensor captures the environment, which is processed by the processing unit, which uses the YOLOv3 algorithm to detect and classify objects. The audio output system provides audio feedback to the user based on the objects detected by the system. The project has significant importance for blind users as it can help them navigate their environment and recognize objects in real time and can serve as a foundation for future research in the field of object detection systems for blind users.