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DOI 10.1080/17483107.2019.1574918

Медицинская библиотека · Disability and rehabilitation. Assistive technology · 2019

An electronic travel guide for visually impaired - vehicle board recognition system through computer vision techniques.

Noorjahan M, Punitha A

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Аннотация

Purpose: In the context of assistive technology, mobility takes the meaning of "moving safely, gracefully, and comfortably".The aim of this article is to provide a system which will be a convenient means of navigation for the Visually Impaired people, in the public transport system.Method: A blind regular commuter who travels by public transport facility finds difficulty in identifying the vehicle that is nearing the stop. Hence, a real-time system that dynamically identifies the nearing vehicle and informs the commuters is necessary. This paper proposes such a system namely the "Vehicle Board Recognition System" (VBRS). Computer Vision techniques such as segmentation, object recognition, text detection and optical character recognition are utilized to build the system, which will detect, analyze, derive and communicate the information to the passengers.

Results

Thanks to the rapid development in technology, there are several navigation systems both hand held and wearable, available to help visually impaired (VI) people move comfortably both indoor and outdoor. Many blind people are not comfortable in using these devices or they are not affordable for them. Thus the proposed system gives them the comfort of navigation.

Conclusion

This system can be installed in the bus stop to assist the Visually Impaired, from externally rather than their hand held or wearable assistive devices.Implications for rehabilitationThis proposed system will help the visually impaired toensure secure navigationbe independent of the others develop self confidence.overcome the training, affordability of wearable/ handheld devices.

Для цитирования: Noorjahan M, Punitha A. An electronic travel guide for visually impaired - vehicle board recognition system through computer vision techniques.. Disability and rehabilitation. Assistive technology. 2019. DOI: 10.1080/17483107.2019.1574918.

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