Raspberry PI-Based Text-to-Speech Reader and Object Detection System for the Visually Impaired

Ashwini Metkar1, Prathamesh Ligade2, Sanika Magar3, Ganesh More4,Prof. Sonal Lad4
Department of Electronics and Telecommunication Engineering Kolhapur Institute of Technology’s College of Engineering, Kolhapur

Abstract - This paper presents a Raspberry Pi-based assistive system designed to enhance independence and situational aware ness for visually impaired individuals. The suggested system com bines the ability to read text in real time with the ability to find objects in order to give continuous auditory feedback about the environment. An Optical Intelligent The Character Recognition (iOCR) module is used to turn printed and handwritten text into speech, making it easier for users to read documents and text in their surroundings. At the same time, an object detection module based on YOLOv8 is set up to find and sort objects in real time. A text-to-speech interface sends the detected objects and recognized text to the user. The system works well on a cheap, portable hardware platform and shows good accuracy and processing speed during testing. The findings suggest that the proposed solution possesses significant potential for practical implementation as an economical assistive technology for visually impaired individuals.