Title

Identification of Garbage in the River Based on The YOLO Algorithm

Journal title

International Journal of Electronics and Telecommunications

Yearbook

2021

Volume

vol. 67

Issue

No 4

Affiliation

Suprapto, Bhakti Yudho : Department of Electrical Engineering, Faculty of Engineering, Universitas Sriwijaya, Indonesia ; Kelvin : Department of Electrical Engineering, Faculty of Engineering, Universitas Sriwijaya, Indonesia ; Kurniawan, Muhammad Arief : Department of Electrical Engineering, Faculty of Engineering, Universitas Sriwijaya, Indonesia ; Ardela, Muhammad Kevin : Department of Electrical Engineering, Faculty of Engineering, Universitas Sriwijaya, Indonesia ; Hikmarika, Hera : Department of Electrical Engineering, Faculty of Engineering, Universitas Sriwijaya, Indonesia ; Husin, Zainal : Department of Electrical Engineering, Faculty of Engineering, Universitas Sriwijaya, Indonesia ; Dwijayanti, Suci : Department of Electrical Engineering, Faculty of Engineering, Universitas Sriwijaya, Indonesia

Authors

Suprapto, Bhakti Yudho ; Kelvin ; Kurniawan, Muhammad Arief ; Ardela, Muhammad Kevin ; Hikmarika, Hera ; Husin, Zainal ; Dwijayanti, Suci

Keywords

control ; identification ; HSV and sift method ; USV ; yolo algorithm

Divisions of PAS

Nauki Techniczne

Coverage

727-733

Publisher

Polish Academy of Sciences Committee of Electronics and Telecommunications

Bibliography

[1] J. Gasperi, R. Dris, T. Bonin, V. Rocher, and B. Tassin. “Assessment of floating plastic debris in surface water along the Seine River,” Environ. Pollut, 2014;195, p. 163–166.
[2] C. Su, W. Dongxing, L. Tiansong, R. Weichong, and Z. Yachao. “An autonomous ship for cleaning the garbage floating on a lake,” In: 2009 Second International Conference on Intelligent Computation Technology and Automation, 2009, vol. 3, p. 471–474.
[3] A. S. A. Kader, M. K. M. Saleh, M. R. Jalal, O. O. Sulaiman, and W. N. W. Shamsuri. “Design of Rubbish Collecting System for Inland Waterways,” J. Transp. Syst. Eng, 2015; 2, no. 2, p. 1–13.
[4] Y. Liu, K.-C. Fung, W. Ding, H. Guo, T. Qu, and C. Xiao. “Novel Smart Waste Sorting System based on Image Processing Algorithms: SURF-BoW and Multi-class SVM. Comput,” Inf. Sci. 2018; 11, no. 3, p. 35.
[5] B. M. Chinnathurai, R. Sivakumar, S. Sadagopan, and J. M. Conrad. “Design and implementation of a semi-autonomous waste segregation robot,” in SoutheastCon 2016. p. 1–6.
[6] A. Torres-García, O. Rodea-Aragón, O. Longoria-Gandara, F. Sánchez-García, and L. E. González-Jiménez. “Intelligent waste separator,” Comput. y Sist. 2015; 19, no. 3. p. 487–500.
[7] T. P. Deepa and S. Roka, “Estimation of garbage coverage area in water terrain,” in 2017, International Conference On Smart Technologies For Smart Nation (SmartTechCon), 2017. p. 347–352.
[8] A. Krizhevsky, I. Sutskever, and G. E. Hinton. “Imagenet classification with deep convolutional neural networks,” in Advances in neural information processing systems. 2012, p. 1097–1105.
[9] R. Girshick, J. Donahue, T. Darrell, and J. Malik, „Rich feature hierarchies for accurate object detection and semantic segmentation,” in Proceedings of the IEEE conference on computer vision and pattern recognition. 2014, p. 580–587.
[10] R. Girshick. “Fast r-cnn,” in Proceedings of the IEEE international conference on computer vision. 2015, p. 1440–1448.
[11] S. Ren, K. He, R. Girshick, and J. Sun. “Faster r-cnn: Towards real-time object detection with region proposal networks,” in Advances in neural information processing systems. 2015, p. 91–99.
[12] J. Redmon, S. Divvala, R. Girshick, and A. Farhadi. “You only look once: Unified, real-time object detection,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2016, p. 779–788.
[13] G. Mittal, K. B. Yagnik, M. Garg, and N. C. Krishnan. “Spotgarbage: smartphone app to detect garbage using deep learning,” in Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing. 2016, p. 940–945.
[14] M. S. Rad et al. “A computer vision system to localize and classify wastes on the streets,” in International Conference on Computer Vision Systems. 2017, p. 195–204.
[15] J. Redmon and A. Farhadi.”YOLO9000: better, faster, stronger,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2017, p. 7263–7271.
[16] D. Mu, Y. Zhao, G. Wang, Y. Fan, and Y. Bai. “USV model identification and course control,” in 2016 Sixth International Conference on Information Science and Technology (ICIST). 2016, p. 263–267.
[17] Q. Zhu. “Design of control system of USV based on double propellers,” in IEEE Reg. 10 Annu. Int. Conf. Proceedings/TENCON. 2013.
[18] R. Yan, S. Pang, H. Sun, and Y. Pang. “Development and missions of unmanned surface vehicle,” J. Mar. Sci. Appl. 2010; 9, no. 4, p. 451–457.
[19] P. H. Heins, B. L. Jones, and D. J. Taunton. “Design and validation of an unmanned surface vehicle simulation model,” Appl. Math. Model. 2017; 48, p. 749–774.

Date

2021.12.27

Type

Article

Identifier

DOI: 10.24425/ijet.2021.137869