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Hardware Implementation of Obstacle Detection for Assisting Visually Impaired People in an Unfamiliar Environment by Using Raspberry Pi

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Smart Trends in Information Technology and Computer Communications (SmartCom 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 628))

Abstract

For assisting blind or visually impaired persons, many computer vision technology has been developed. Some camera based systems were developed to help those people in way finding, navigation and finding daily necessities. The motion of the observer causes all scene object stationary or non-stationary in motion. And hence it is very much important to detect moving object with the moving observer. In this context we have proposed a camera based prototype system for assisting blind person in detection of obstacles by using motion vectors. We have collected dataset of their indoor and outdoor environment and estimated the optical flow to perform object detection. Furthermore we have detected the objects in the region of interest without using costly Depth cameras and sensors. The hardware used in the proposed work is ‘Raspberry Pi 2-B’ and the algorithms used for object detection is performed using MATLAB (for simulation purpose) and Python language.

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Acknowledgement

We would like to thank Mrs S.A. Pujari, (Principal, the Poona School and Home for the Blind Girls; Kothrud, Pune) for giving us chance take database from their institute. We would also like to thank Prof. K.J. Raut and Riddhi Zaveri for giving us constant support and helping in documentation part respectively.

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Authors and Affiliations

  1. Department of E&TC, Vishwakarma Institute of Information Technology, Pune, India

    Sanket Khade & Yogesh H. Dandawate

Authors
  1. Sanket Khade
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  2. Yogesh H. Dandawate
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Corresponding author

Correspondence to Sanket Khade .

Editor information

Editors and Affiliations

  1. Stanford University, Stanford, CA, USA

    Aynur Unal

  2. IT Buzz Limited, Dagenham, UK

    Malaya Nayak

  3. Microsoft Innovation Centre, Sri Aurobindo Institute of Technology, Indore, Madhya Pradesh, India

    Durgesh Kumar Mishra

  4. Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh

  5. Sabar Institute of Technology, Sabarkantha, India

    Amit Joshi

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© 2016 Springer Nature Singapore Pte Ltd.

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Khade, S., Dandawate, Y.H. (2016). Hardware Implementation of Obstacle Detection for Assisting Visually Impaired People in an Unfamiliar Environment by Using Raspberry Pi. In: Unal, A., Nayak, M., Mishra, D.K., Singh, D., Joshi, A. (eds) Smart Trends in Information Technology and Computer Communications. SmartCom 2016. Communications in Computer and Information Science, vol 628. Springer, Singapore. https://doi.org/10.1007/978-981-10-3433-6_106

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  • DOI: https://doi.org/10.1007/978-981-10-3433-6_106

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-3432-9

  • Online ISBN: 978-981-10-3433-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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