Around 3.5% of the world's population lives with moderate to severe vision impairment — a condition that can significantly affect safe road crossing.
Every visually impaired pedestrian deserves to feel safe and confident when crossing roads, regardless of location or surrounding conditions.
Accessibility tools, such as tactile paving, audible signals, and safe route indicators, can help guide pedestrians and reduce uncertainty at crossings.
Many crossings still lack the necessary accessibility infrastructure, and tools are not universally available, leaving pedestrians to navigate uncertain or complex environments.
Unexpected traffic patterns, hesitation from drivers, and inconsistencies at intersections can all delay crossings and increase safety risks for visually impaired individuals.
Our ML model observes traffic signal states through an in-built camera, providing audio and haptic feedback to inform the user whether it is safe to cross.
The algorithm can differentiate between vehicle and pedestrian traffic lights to ensure adaptable functionality regardless of the crossing.
Exhibition Road
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