Third Eye for Blind

Authors

  • Sandhya B R Information Science & Engineering, Sri Krishna Institute of Technology, Bangalore, India
  • S Sahana Information Science & Engineering, Sri Krishna Institute of Technology, Bangalore, India
  • S Sneha Information Science & Engineering, Sri Krishna Institute of Technology, Bangalore, India

DOI:

https://doi.org/10.5281/zenodo.4592708

Keywords:

Visually impaired, Object Detection, Face Recognition, KNN classifier, Independence for the visually impaired, Raspberry Pi

Abstract

Independent travel is a well known challenge for blind or visually impaired persons and also the increasing availability of portable digital image devices, high performance and cost efficiency has created a vast opportunity for supplementing traditional scanning for document image acquisition. A camera based visual assistance framework for object detection, face recognition, news and book reading is built. It converts into a voice output to help the blind people. Thus, we developed this system from a single camera-captured video streaming for the visually impaired persons, so they can lead their lives with some independence.

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References

Ayush Jain and Mohana Mohana, “Real Time Object Detection and Tracking using Deep Learning and OpenCV”, Proceedings of the International Conference on Inventive Research in Computing Applications (ICIRCA), 2018, pp. 1305-1308.

Piyush Patil and Akshay Sonawane, “Environment Sniffing Portable Assistive Device For Visually Impaired Individuals”, International conference on Trends in Electronics and Informatics (ICEI), 2017, pp. 371-321.

Samrudhi Deshpande and Revathi Sriram, “Real Time Text Detection and Recognition on Hand Held Objects to Assist Blind People”, International Conference on Automatic Control and Dynamic optimization Techniques, 2016, pp. 1020-1024.

Radhika R, Payal G Pai, Rakshitha S and Rampur Srinath, “Implementation of Smart Stick for Obstacle Detection and Navigation”, International Journal of Latest Research in Engineering and Technology (IJLRET), vol. 02, pp. 45-50, May, 2016.

Yingli Tian and Aries Arditi, “Context-based Indoor Object Detection as an Aid to Blind Persons Accessing Unfamiliar Environments”, October, 2010.

Johnathan Hui, 2018 March 14, SSD object detection: Single Shot MultiBox Detector for real-time processing [Online]. Available:https://medium.com/@jonathan_hui/ssd-object-detection-single-shot-multibox-detector-for-real-time-processing-9bd8deac0e06#:~:text=SSD%20uses%20lower%20resolution%20layers,be%20added%20for%20object%20detection.

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Published

2021-03-05

How to Cite

[1]
S. B. R, S. Sahana, and S. Sneha, “Third Eye for Blind”, pices, vol. 4, no. 11, pp. 280-283, Mar. 2021.

Issue

Vol. 4 No. 11 (2021): Issue 11 - February 2021

Section

Articles

URN

http://nbn-resolving.de/urn:nbn:de:101:1-2021031006112621458562

License

Copyright (c) 2021 Perspectives in Communication, Embedded-systems and Signal-processing - PiCES/ WorldServe Online

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.