As object recognition technology has developed recently, various technologies have been applied to autonomous vehicles, robots, and industrial facilities. However, the benefits of these technologies are not reaching the visually impaired, who need it the most. In this paper, we proposed an object detection system for the blind using deep learning technologies. We use voice recognition technology in order to know what objects a blind person wants, and then to find the objects via object recognition. Furthermore, a voice guidance technique is used to inform sight impaired persons as to the location of objects. The object recognition deep learning model utilizes the Single Shot Multibox Detector (SSD) neural network architecture, and voice recognition is designed through speech-to-text (STT) technology. In addition, a voice announcement is synthesized using text-to-speech (TTS) to make it easier for the blind to get information about objects. The system is built using python OpenCV tool. As a result, we implement an efficient object-detection system that helps the blind find objects in a specific space without help from others, and the system is analyzed through experiments to verify performance.
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IJRTI — journal style
"Object Detection System with Voice Output using Python", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.6, Issue 3, page no.15 - 20, March-2021, Available :https://ijrti.org/papers/IJRTI2103004.pdf
APA — 7th edition
Dewangan, R. K., & Chaubey, S. (2021). Object Detection System with Voice Output using Python. International Journal for Research Trends and Innovation, 6(3), 15 - 20. https://ijrti.org/viewpaperforall.php?paper=IJRTI2103004
MLA — 9th edition
Dewangan, Rajeshwar Kumar, and Siddharth Chaubey. "Object Detection System with Voice Output using Python." International Journal for Research Trends and Innovation, vol. 6, no. 3, 2021, pp. 15 - 20, https://ijrti.org/viewpaperforall.php?paper=IJRTI2103004.
Chicago — 17th, bibliography
Dewangan, Rajeshwar Kumar, and Siddharth Chaubey. "Object Detection System with Voice Output using Python." International Journal for Research Trends and Innovation 6, no. 3 (2021): 15 - 20. https://ijrti.org/viewpaperforall.php?paper=IJRTI2103004.
Harvard — author–date
Dewangan, R.K. and Chaubey, S. (2021) 'Object Detection System with Voice Output using Python', International Journal for Research Trends and Innovation, 6(3), pp. 15 - 20. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2103004
IEEE — numbered reference
R. K. Dewangan and S. Chaubey, "Object Detection System with Voice Output using Python," IJRTI, vol. 6, no. 3, pp. 15 - 20, Mar. 2021.
Vancouver — biomedical
Dewangan RK, Chaubey S. Object Detection System with Voice Output using Python. IJRTI. 2021 Mar;6(3):15 - 20.
AMA — 11th edition
Dewangan RK, Chaubey S. Object Detection System with Voice Output using Python. IJRTI. 2021;6(3):15 - 20. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2103004
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2103004,
author = {Rajeshwar Kumar Dewangan and Siddharth Chaubey},
title = {Object Detection System with Voice Output using Python},
journal = {International Journal for Research Trends and Innovation},
volume = {6},
number = {3},
pages = {15 - 20},
year = {2021},
month = {March},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2103004}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Dewangan, Rajeshwar Kumar
AU - Chaubey, Siddharth
TI - Object Detection System with Voice Output using Python
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 6
IS - 3
PY - 2021
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2103004
SP - 15
EP - 20
ER -
International Journal for Research Trends and InnovationPublished by IJRTI (JW Publication)
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Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.