SMART ASSISTIVE SYSTEM FOR THE VISUALLY IMPAIRED USING COMPUTER VISION

Abstract

This study presents an Intelligent Assistive Device that integrates Artificial Intelligence (AI), Computer Vision, and the Internet of Things (IoT) to support individuals with visual impairments. The system is designed to overcome limitations of existing solutions by providing an efficient, user-friendly, and cost-effective device tailored to the needs of visually impaired users. Core functionalities include obstacle detection, recognition, and distance measurement to facilitate independent navigation, supplemented by features such as face and currency recognition, wet floor and fall alerts, live location tracking, text reading assistance, guardian monitoring, and emergency dialing. These functions are implemented iteratively to empower users to perform daily tasks with minimal external support.

The device architecture combines IoT and computer vision technologies, employing Raspberry Pi and AI-based methods. A critical review of current assistive tools informed both the identification of their shortcomings and the integration of effective design elements into the proposed system. User-centric considerations—such as wearability, portability, and lightweight design—were incorporated, along with a cost analysis to ensure affordability without compromising functionality.

Overall, the proposed system enhances independence, safety, and quality of life for visually impaired individuals while reducing the social and economic burdens associated with visual disabilities.