September 10, 2025Proceedings of the AAAI Symposium Series

Employing Computer Vision on a Smartphone to Help the Visually Impaired Cross the Road

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This innovative system assists visually impaired individuals in safely navigating crosswalks.
Performance evaluations show high accuracy in vehicle detection and reliable depth estimation.
The approach uses lightweight models optimized for smartphone deployment, enhancing accessibility.
Usability tests confirm that the system works effectively in live environments, supporting independent mobility.

Authors

MIM.G.B. Ismail MMMahmoud Ahmed MousaBenha University

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Implication

Hybrid computer vision technology improves object detection and depth estimation for visually impaired users, highlighting usability in real-world conditions.

Cite This Study

Ismail et al. (2025) studied this question.

synapsesocial.com/papers/68c23f63b210217d6479670b https://doi.org/10.1609/aaaiss.v6i1.36057

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Implication

Hybrid computer vision technology improves object detection and depth estimation for visually impaired users, highlighting usability in real-world conditions.

Employing Computer Vision on a Smartphone to Help the Visually Impaired Cross the Road

Key Points

Discussion

Implication

Cite This Study

Employing Computer Vision on a Smartphone to Help the Visually Impaired Cross the Road

Key Points

Discussion

Implication

Cite This Study