<p>The visually impaired community is one of the largest underserved populations globally. Although advanced assistive technologies have significantly improved mobility, their widespread adoption remains limited, primarily due to high costs, especially in economically underdeveloped regions. To address this, this study proposes a cost-effective solution based on a non-contact triboelectric nanogenerator (NC-TENG) system, aimed at enhancing the obstacle detection capability of canes. Unlike traditional canes that require direct contact with obstacles, the enhanced cane utilizes non-contact sensing technology, significantly expanding the detection range and improving navigation safety. Experimental results demonstrate the exceptional performance of the system in real-time obstacle detection and feedback, marking a significant advancement in both the safety and mobility of visually impaired individuals.</p> Graphical abstract <p></p>