AI Based Visually Impaired Stick

Visually impaired individuals face major challenges in navigation, obstacle detection, and independent mobility. Traditional aids such as white canes and guide dogs offer limited assistance and are often expensive or insufficient for real-time object awareness. This paper proposes Blind People Helping Hand, a Raspberry Pi–based wearable object detection and obstacle recognition system designed to transform the visual world into audio feedback for visually impaired users. The system integrates a Pi Camera, ultrasonic sensor, and text-to-speech engine to identify objects, measure their distance, and deliver voice alerts via earphones. Using OpenCV and Python, the device provides real-time object recognition and obstacle detection with a compact and cost-effective design. This research explores the system's architecture, working methodology, and the impact on making daily navigation safer and more independent for visually impaired individuals.