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A Computer Vision System Supporting Blind People - The Supermarket Case

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Book cover Computer Vision Systems (ICVS 2019)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 11754))

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Abstract

The proposed application builds on the latest advancements of computer vision with the aim to improve the autonomy of people with visual impairment at both practical and emotional level. More specifically, it is an assistive system that relies on visual information to recognise the objects and faces surrounding the user. The system is supported by a set of sensors for capturing the visual information and for transmitting the auditory messages to the users. In this paper, we present a computer vision application, e-vision, in the context of visiting the supermarket for buying groceries.

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Notes

  1. 1.

    https://www.microsoft.com/en-us/ai/seeing-ai.

  2. 2.

    https://www.letsenvision.com/.

  3. 3.

    https://eye-d.in/.

  4. 4.

    https://www.orcam.com/en/.

  5. 5.

    https://www.esighteyewear.com/int.

  6. 6.

    https://nueyes.com/.

  7. 7.

    https://eyesynth.com/?lang=en.

  8. 8.

    https://www.masoutis.gr/.

  9. 9.

    https://www.masoutis.gr/.

  10. 10.

    https://unity.com/.

References

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Acknowledgements

This work is part of project Evision that has been co–financed by the European Regional Development Fund of the European Union and Greek national funds through the Operational Program Competitiveness, Entrepreneurship and Innovation, under the call RESEARCH – CREATE – INNOVATE (project code: T1EDK-02454).

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Correspondence to Elisavet Chatzilari .

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Georgiadis, K., Kalaganis, F., Migkotzidis, P., Chatzilari, E., Nikolopoulos, S., Kompatsiaris, I. (2019). A Computer Vision System Supporting Blind People - The Supermarket Case. In: Tzovaras, D., Giakoumis, D., Vincze, M., Argyros, A. (eds) Computer Vision Systems. ICVS 2019. Lecture Notes in Computer Science(), vol 11754. Springer, Cham. https://doi.org/10.1007/978-3-030-34995-0_28

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  • DOI: https://doi.org/10.1007/978-3-030-34995-0_28

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  • Print ISBN: 978-3-030-34994-3

  • Online ISBN: 978-3-030-34995-0

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