Research a Smart Assistive Device for Visually Impaired Using IOT

Visually impaired individuals face significant challenges in navigating their surroundings safely and independently. Traditional mobility aids such as canes provide limited assistance and lack real-time hazard detection. This paper presents a Smart Assistive Device for the Visually Impaired using IoT, designed to enhance mobility, safety, and emergency response. The system integrates two ultrasonic sensors—one for depth detection and another for obstacle avoidance—providing immediate feedback through a vibrating motor. A rain sensor detects moisture levels, warning users of wet surfaces. The device also includes a GPS module for real-time location tracking and a GSM module to send emergency SMS alerts. A panic button allows users to instantly send their location to predefined contacts in distress situations. The system is built around an Arduino Nano, ensuring efficient processing and communication. This assistive technology enhances the independence of visually impaired individuals by offering real-time alerts and automated emergency assistance. Future improvements may include AI-based object recognition, voice assistance, and machine learning algorithms for adaptive navigation. This innovation contributes to improving accessibility, safety, and overall quality of life for visually impaired users.