Smart Assistive System of Visually Impaired People Obstruction Avoidance through Object Detection and Classification

Abstract

Navigating independently is one of the most important challenges facing blind individuals. To meet this important requirement, we propose the development of a smart auxiliary system that strengthens users with real -time detection and classification skills with the Yolo V3 model. This innovative system uses the accuracy of ultrasound sensor, dynamic movement of Sarvo Motors and the processing power of the Node MCU to create a broad and responsible navigation aid. The main functionality of the system lies in the correct detection of obstacles within the user's road and the ability to classify them based on distance and nature. By detection, the system gives immediate response through sound warning through a speaker, and ensures that the user is constantly aware of the surroundings. The use of a servomotor enables a comprehensive identification area so that the sensor can scan the environment dynamically. A stable and portable power supply ensures that the system remains operational in different environments without frequent charging. This auxiliary technique is designed to be compact, light and energy efficient, and provides a significant improvement in the quality of life for the impaired users visually by increasing confidence, increasing self -confidence and promoting freedom. The system is especially suitable for both indoor and external environment, which makes it very versatile and practical. In addition, with wireless connection through Node MCU, future expansion is probably, including cloud integration for data analysis and remote monitoring. The project represents a harmonious integration of built -in systems, automation and support technology, and shows how engineering innovation can bridge disabilities and capacity.In short, our smart support system not only facilitates secure navigation, but also inspires the extensive vision of access, inclusion and authority for everyone.