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New App Promises To Make Navigating Subways Easier For The Visually Impaired

By Alexa Heah, 28 Jul 2023

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Image ID 112766918 via © Giovanni Gagliardi | Dreamstime.com

 

Soon, low-vision and blind passengers traveling on New York City’s crowded subways could have an easier time navigating the underground routes, thanks to a new trip-planning app: Commute Booster.

 

Developed by researchers at NYU Tandon School of Engineering and NYU Grossman School of Medicine, the program’s innovative approach targets the “middle mile” of a journey, complementing the “first” and “last” miles that bring travelers to and from transit hubs.

 

Subway stations often present challenges for visually impaired individuals due to graphical or text-based signs that may be difficult to recognize from a distance.

 

Commute Booster addresses this issue by automatically identifying the relevant signs along the way to a specific subway platform. Users can rely on their smartphone’s camera to recognize and interpret the signs posted inside transit hubs, while irrelevant ones are ignored, providing a more focused navigation experience.

 

Image ID 135361730 via © Littleny | Dreamstime.com

 

In a recent study, researchers tested the software’s interpretation of signage from three New York City subway stations—Jay Street-Metrotech, Dekalb Avenue, and Canal Street—that a traveler would encounter on a specific journey.

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Impressively, the app purportedly demonstrated a 97% accuracy rate in identifying signs relevant to helping the passenger reach the intended destination.

 

Additionally, the program proved to be capable of “reading” signs from various distances and angles, reflecting the expected physical positioning of travelers.

 

This feature, should it be made available to the public, will enhance users’ autonomy in unfamiliar environments and provide reliable guidance throughout their journey.

 

 

 

[via Engadget and EurekAlert / NYU Tandon School of Engineering, images via various sources]

 

This article was crafted with assistance from an AI engine, and has been reviewed, edited, and fact-checked.

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