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Auto Trash Collection in Water Bodies Using A Smart Device

Vikas P Damle1 , Nupur Gudigar2 , Shreyas P3 , Sridhar M4 , Prakash B Metre5

Section:Research Paper, Product Type: Journal Paper
Volume-7 , Issue-5 , Page no. 1706-1709, May-2019

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v7i5.17061709

Online published on May 31, 2019

Copyright © Vikas P Damle, Nupur Gudigar, Shreyas P, Sridhar M, Prakash B Metre . 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: Vikas P Damle, Nupur Gudigar, Shreyas P, Sridhar M, Prakash B Metre, “Auto Trash Collection in Water Bodies Using A Smart Device,” International Journal of Computer Sciences and Engineering, Vol.7, Issue.5, pp.1706-1709, 2019.

MLA Style Citation: Vikas P Damle, Nupur Gudigar, Shreyas P, Sridhar M, Prakash B Metre "Auto Trash Collection in Water Bodies Using A Smart Device." International Journal of Computer Sciences and Engineering 7.5 (2019): 1706-1709.

APA Style Citation: Vikas P Damle, Nupur Gudigar, Shreyas P, Sridhar M, Prakash B Metre, (2019). Auto Trash Collection in Water Bodies Using A Smart Device. International Journal of Computer Sciences and Engineering, 7(5), 1706-1709.

BibTex Style Citation:
@article{Damle_2019,
author = {Vikas P Damle, Nupur Gudigar, Shreyas P, Sridhar M, Prakash B Metre},
title = {Auto Trash Collection in Water Bodies Using A Smart Device},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {5 2019},
volume = {7},
Issue = {5},
month = {5},
year = {2019},
issn = {2347-2693},
pages = {1706-1709},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=4475},
doi = {https://doi.org/10.26438/ijcse/v7i5.17061709}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v7i5.17061709}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=4475
TI - Auto Trash Collection in Water Bodies Using A Smart Device
T2 - International Journal of Computer Sciences and Engineering
AU - Vikas P Damle, Nupur Gudigar, Shreyas P, Sridhar M, Prakash B Metre
PY - 2019
DA - 2019/05/31
PB - IJCSE, Indore, INDIA
SP - 1706-1709
IS - 5
VL - 7
SN - 2347-2693
ER -

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Abstract

The major issues in water bodies is contamination which results in the reduction of dissolved oxygen level. This leads to various environmental hazards and also affects the aquatic animals. Cleaning water bodies of these waste materials requires manpower and long hours. Instead of wasting manpower at once we can build an autonomous device which can decrease the human effort and interference by periodic cleaning of the water body. This device which is built using the Raspberry Pi is to help people by frequent maintenance of the water bodies with minimalist human interference. An object detection algorithm is used for the detection of trash on water bodies. Computer Vision Technology is used for image processing, object detection and object tracking. The device navigates towards the detected trash with the control signals generated by custom made algorithm. After the device navigates towards the trash, the trash is collected inside the mesh structure built into the structure of the device.

Key-Words / Index Term

Raspberry Pi, Object Detection, Computer Vision

References

[1] Samruddhi There, Chetan Shinde, Ashish Kumar Nath, Shubhangi A Joshi, “Garbage detection and collection of garbage using computer vision”, International Journal of Innovations in Engineering Research and Technology,Vol..,Issue., 2017.
[2] Yong Wang, Dianhong Wang, Qian Lu, Dapeng Luo, and Wu Fang, "Aquatic Debris Detection using embedded camera sensors", https://www.mdpi.com/journal/sensors, Vol.15, Issue.15, 2015.
[3] Ms. Prajakta K. Ghorpade, “Aquatic Debris Monitoring & Detection using Raspberry Pi based AQUABOT”, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, Vol. 5, Issue 5, 2016.
[4] Jakkrit Sumroengrit and Niramon Ruangpayoongsak, “Economic Floating Waste Detection for Surface Cleaning Robots”, In the Proceedings of the 2016 the 3rd International Conference on Mechatronics and Mechanical Engineering, 2017.
[5] Chen Zhihong, Zou Hebin, Wang Yanbo, Liang Binyan, Liao Yu, “A Vision-based Robotic Grasping System Using Deep Learning for Garbage Sorting”, In the Proceedings of the 2017 36th Chinese Control Conference, 2017.