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Drishti—Artificial Vision

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Applications of Computing, Automation and Wireless Systems in Electrical Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 553))

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Abstract

Drishti is a computer vision and deep learning-based application developed using Python programming language for the sole purpose of envisioning the real-time environment by generating the natural language description of the real-time captured scenes. The primary objective of this project is to enable a visually impaired person to know about his or her environment in real time. In this, digital image processing is used to generate the annotations about the surroundings. To express the features, Python has been selected as an interacting language. For the ease of a user, GUI has been provided for their usage. Though the GUI has been operated and guided by Python script, there is no need for a person to know the language, for general usage.

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Acknowledgements

Statement of Consent: It is to confirm that the image (Fig. 3b) in this paper entitled “Drishti—Artificial Vision,” includes the two authors of this paper, namely Sneh Rathore and Sahil Sharma. We hereby confirm our identity and provide the consent to publish the image (Fig. 3b) in this paper.

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Authors and Affiliations

  1. Department of Information Technology, HMR Institute of Technology, New Delhi, India

    Sneh Rathore, Sahil Sharma & Lisha Singh

Authors
  1. Sneh Rathore
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  2. Sahil Sharma
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  3. Lisha Singh
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Corresponding author

Correspondence to Sneh Rathore .

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Editors and Affiliations

  1. Department of Electrical Engineering, Indian Institute of Technology Delhi , New Delhi, Delhi, India

    Sukumar Mishra

  2. Department of Electrical Engineering , National Institute of Technology, Hamirpur, Himachal Pradesh, India

    Yog Raj Sood

  3. JSS Academy of Technical Education, Noida, Uttar Pradesh, India

    Anuradha Tomar

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Rathore, S., Sharma, S., Singh, L. (2019). Drishti—Artificial Vision. In: Mishra, S., Sood, Y., Tomar, A. (eds) Applications of Computing, Automation and Wireless Systems in Electrical Engineering. Lecture Notes in Electrical Engineering, vol 553. Springer, Singapore. https://doi.org/10.1007/978-981-13-6772-4_50

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  • DOI: https://doi.org/10.1007/978-981-13-6772-4_50

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-6771-7

  • Online ISBN: 978-981-13-6772-4

  • eBook Packages: EngineeringEngineering (R0)

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