Netrasparsh- An Innovative Ardino Based Smart Shoe for Visually Impaired

Anas Ahmed Ather, Shivam Kumar, M. Suresh Anand · 2024

Individuals with visual impairments encounter substantial difficulties in navigating, recognizing objects, and engaging in physical activities, which have a profound influence on their autonomy and overall well-being. NetraSparsh tackles these difficulties by incorporating cutting-edge technologies into a holistic solution. The main element is a technologically advanced shoe fitted with ultrasonic sensors based on Arduino, which enables immediate identification of obstacles and provides feedback to ensure safe navigation. In addition to this, a web application utilizes artificial intelligence-based object detection using a camera, providing instant visual information through a smartphone. In addition, an Android application tracks daily steps and promotes physical activity by incorporating gamification and individualized challenges. Initial testing suggests that the intelligent footwear consistently identifies barriers, hence improving the user's ability to move around and boosting their self-assurance. The AI-driven program demonstrates exceptional precision in identifying objects in diverse settings. Users have reported heightened engagement with their environment and enhanced ability to navigate. The Android application efficiently encourages users to participate in physical exercise, fostering a more active way of life. NetraSparsh's design is both accessible and user-friendly, specifically designed to meet the varied requirements of visually impaired individuals. It empowers them to explore their surroundings with independence and confidence. This cutting-edge system utilizes artificial intelligence, mobile computing, and sensor technologies to overcome physical obstacles and promote a healthy and active lifestyle. It represents a major breakthrough in assistive technology and has the potential to have a beneficial influence on millions of people worldwide.

Read the paper · More papers on PaperTik