Smart Cane For Visually Impaired

Abstract

The goal of the "Smart Cane for Visually Impaired" project was to create cutting-edge assistive technology that would increase the mobility and freedom of people who are blind or visually impaired. The intelligent cane gives users access to real-time environmental data by combining state-of-the-art sensors, machine learning algorithms, and adaptive feedback mechanisms. The project successfully designed and built a prototype that makes use of an ultrasonic sensor (HC-SR04) for obstacle avoidance, a Raspberry Pi 5 for object detection, and a Raspberry Pi Camera Module v1.3 for central processing unit. Users who are visually handicapped benefit greatly from the smart cane's capacity to recognize obstacles, navigate through areas, and provide timely feedback through an earphone, coin vibrator, and buzzer. Several Sustainable Development Goals, including Good Health, and well-being, high-quality education, business, innovation, infrastructure, and a decrease in inequality. To make the smart cane more widely available to visually impaired people, next work recommendations include incorporating additional sensors, doing additional user testing, and investigating options for large-scale manufacture. The effective creation of this prototype shows how innovation and technology can enhance the lives of people with disabilities and promote an inclusive society.