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Bridging the Accessibility Gap: Leveraging Egocentric Vision for Indoor Navigation.
Rel. Federico Manuri, Andrea Sanna. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2026
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Abstract
Navigating unfamiliar indoor environments remains a significant challenge for Blind and Low Vision (BLV) individuals, particularly when navigation relies on interpreting spatial signage. Traditional assistive methods, such as smartphone-based computer vision or human assistance, often prove cumbersome or limit physical autonomy. This thesis presents a hands-free navigation system for indoor spaces utilizing Meta's Project Aria smart glasses. A preliminary study about preferences and needs of BLV individuals was done, switching the focus on what they actually need and would want from assistive technologies, especially based on smart-glasses. Based on these insights, a custom Android application was developed to interface with Project Aria’s glasses processing the glasses' real-time RGB data.
The mobile application employs a YOLO (You Only Look Once) model for object detection alongside Text Recognition to identify and interpret room names, directional signs, and safety exits
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