Object avoidance, raspberry pi, light sensors, IR sensor, image processing.
Abstract
By using the smart walking cane blind people can perform their work in a convenient way. smart walking stick can able to support Object identification by the help of image processing and mainly the output would be in the form of Voice output. In proposed system, cam plays a major role in spotting the objects. The stick calculates the distance between objects and Smart Walking Stick by Ultrasonic sensor. When an obstacle is detected in the range of ultrasonic sensor, the obstacle name will be given as output in the earphones. Images will be captured using a camera and the camera is connected with Raspberry Pi. Later on, it checks with the database and gives the output. If any object which is not stored in the database is encountered, then it says unknown object identified. For example, instead of GSM this raspberry pi can send alert message and also it does the work of Arduino and microcontrollers. We are also giving voice output based on image recognition for identification of object which is connected to ear
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IJRTI — journal style
"Obstacle Avoidance And Detection For Blind People", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.4, Issue 4, page no.132 - 134, April-2019, Available :https://ijrti.org/papers/IJRTI1904028.pdf
APA — 7th edition
Raut, S. R., Rajyashree, R., Anand, A., & Tyagi, S. (2019). Obstacle Avoidance And Detection For Blind People. International Journal for Research Trends and Innovation, 4(4), 132 - 134. https://ijrti.org/viewpaperforall.php?paper=IJRTI1904028
MLA — 9th edition
Raut, Soumya Ranjan, et al. "Obstacle Avoidance And Detection For Blind People." International Journal for Research Trends and Innovation, vol. 4, no. 4, 2019, pp. 132 - 134, https://ijrti.org/viewpaperforall.php?paper=IJRTI1904028.
Chicago — 17th, bibliography
Raut, Soumya Ranjan, et al. "Obstacle Avoidance And Detection For Blind People." International Journal for Research Trends and Innovation 4, no. 4 (2019): 132 - 134. https://ijrti.org/viewpaperforall.php?paper=IJRTI1904028.
Harvard — author–date
Raut, S.R. et al. (2019) 'Obstacle Avoidance And Detection For Blind People', International Journal for Research Trends and Innovation, 4(4), pp. 132 - 134. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI1904028
IEEE — numbered reference
S. R. Raut, R. Rajyashree, A. Anand and S. Tyagi, "Obstacle Avoidance And Detection For Blind People," IJRTI, vol. 4, no. 4, pp. 132 - 134, Apr. 2019.
Vancouver — biomedical
Raut SR, Rajyashree R, Anand A, Tyagi S. Obstacle Avoidance And Detection For Blind People. IJRTI. 2019 Apr;4(4):132 - 134.
AMA — 11th edition
Raut SR, Rajyashree R, Anand A, Tyagi S. Obstacle Avoidance And Detection For Blind People. IJRTI. 2019;4(4):132 - 134. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI1904028
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI1904028,
author = {Soumya Ranjan Raut and R. Rajyashree and Apurwa Anand and Siddarth Tyagi},
title = {Obstacle Avoidance And Detection For Blind People},
journal = {International Journal for Research Trends and Innovation},
volume = {4},
number = {4},
pages = {132 - 134},
year = {2019},
month = {April},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI1904028}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Raut, Soumya Ranjan
AU - Rajyashree, R.
AU - Anand, Apurwa
AU - Tyagi, Siddarth
TI - Obstacle Avoidance And Detection For Blind People
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 4
IS - 4
PY - 2019
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI1904028
SP - 132
EP - 134
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.