Multi-Sensor Obstacle Detection System in Smart Cane Design for The Visually Challenged

Abstract

A Smart canes helps in the secure navigation of visually challenged individuals by sensing and alerting obstacles beyond the physical extent of the cane. This project aims to enhance navigation safety for visually challenged individuals by developing a streamlined smart cane. Integrating ultrasonic and pi camera for obstacle detection and audio alerts, the design ensures a comprehensive awareness of the surroundings. Sensors are strategically positioned to cover left, right, and vertical directions. Despite noise challenges from low-cost sensors and user hand movements, this focuses on refining obstacle detection using a pi camera, which is used for image recognition. Furthermore, the smart cane incorporates a feature allowing visually impaired users to engage in text recognition using the python-tesseract algorithm and includes an emergency calling system for added security. This innovative solution holds promise in significantly improving the safety and independence of visually impaired individuals during navigation.