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Deep Learning Approach to Detect Objects Using Drone Computing

Ashwin umar K1 , Likith J2 , Nagendra Prasad3 , C Manasa4

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-12 , Page no. 57-61, Dec-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i12.5761

Online published on Dec 31, 2019

Copyright © Ashwin Kumar K, Likith J, Nagendra Prasad, C Manasa . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: Ashwin Kumar K, Likith J, Nagendra Prasad, C Manasa, “Deep Learning Approach to Detect Objects Using Drone Computing,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.12, pp.57-61, 2019.

MLA Style Citation: Ashwin Kumar K, Likith J, Nagendra Prasad, C Manasa "Deep Learning Approach to Detect Objects Using Drone Computing." International Journal of Computer Sciences and Engineering 7.12 (2019): 57-61.

APA Style Citation: Ashwin Kumar K, Likith J, Nagendra Prasad, C Manasa, (2019). Deep Learning Approach to Detect Objects Using Drone Computing. International Journal of Computer Sciences and Engineering, 7(12), 57-61.

BibTex Style Citation:
@article{K_2019,
author = {Ashwin Kumar K, Likith J, Nagendra Prasad, C Manasa},
title = {Deep Learning Approach to Detect Objects Using Drone Computing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2019},
volume = {7},
Issue = {12},
month = {12},
year = {2019},
issn = {2347-2693},
pages = {57-61},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4974},
doi = {https://doi.org/10.26438/ijcse/v7i12.5761}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i12.5761}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4974
TI - Deep Learning Approach to Detect Objects Using Drone Computing
T2 - International Journal of Computer Sciences and Engineering
AU - Ashwin Kumar K, Likith J, Nagendra Prasad, C Manasa
PY - 2019
DA - 2019/12/31
PB - IJCSE, Indore, INDIA
SP - 57-61
IS - 12
VL - 7
SN - 2347-2693
ER -

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Abstract

There are some things which humans cannot do but a machine can one of them is some locations where humans cannot go and live in that locations by using the machines we can search that particular area for some purpose. So our project stands to solve this kind of problems by using the machine called unmanned aerial vehicle (UAV) which is Drone in our project. By using Drone in our project we can do the object detection and tracking using Deep Learning technology which helps the humans in solving this kind of problems as well it can also be used by the traffic policemen to determine the vehicle number who breaks the traffic rules, crime etc, It can also be used by an army of the country in borders to find out the terrorists who have entered their country borders, It can also be used in the cities to supply medicines and other items during emergencies, It can also be used to detect mining areas, It can also be used in the situations where earthquakes, Tsunami and other natural calamities in this time it can be used to detect humans, cows and other living things to be saved. Our project solves these problems at a greater accuracy with optimized cost as possible

Key-Words / Index Term

UAV, Drone, terrorists, army, police, earthquakes, tsunami

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