Smart Cane with Artificial Intelligence for Obstacle Detection
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Abstract
This research aims to develop a smart cane for the visually impaired by integrating Internet of Things (IoT) and Artificial Intelligence (AI) technologies. The smart cane is designed to detect and alert users of obstacles, enhancing their safety while navigating. The system comprises an ESP32-CAM for image capturing and a Teachable Machine-trained AI model for processing. The model is trained to recognize 11 classes. Upon detection, the system alerts the user through a vibration motor embedded in the handle. Experimental results show that the system achieves high accuracy in classifying overpasses and other obstacles, with 93.5% and 94% accuracy, respectively. This research represents a significant step towards developing assistive devices for the visually impaired that can be practically applied in daily life, ultimately contributing to a significant improvement in their quality of life.
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