Smart Blind Stick with Vision Based Obstacle Detection and Assistive Navigation (KEY IJP************677)

• Charumathy C,Gurumoorthy M,Anandharaj P,Bharathkumar R,Premalatha J

Abstract

AbstractVisually challenged people face many challenges in day-to-day life for performing simple activities as simple as navigating through an unfamiliar space. This project proposes a smart stick to overcome some of the limitations by integrating Arduino, ESP32CAM, Ultrasonic sensors, GSM, GPS, audio module providing assistive feedback through speakers and vibrating motors. This project uses MATLAB to train the objects captured via the camera to provide smart obstacle detection, classifies walkable path, recognize traffic light signals and gives audio guidance to them. The central processing used here is an Arduino microcontroller board. In case of emergencies the users location is detected by the GPS and is sent to the contacts via GSM. It also uses low power for computational purposes; therefore, the project is proposed to use a rechargeable Li-ion battery. The proposed project combines computer vision, sensor-based obstacle detection to provide assistance to vision impaired people with assistive feedback for their improved mobility, safety. Thus, providing freedom of movement. KeywordsESP32, Global system for Mobile communication (GSM), Global positioning system (GPS), MATLAB, Ultrasonic sensor.