IJACEN Space Debris Detection using Deep Learning Algorithm, Yolov4 and Open CV

Journal Paper

Paper Title :Space Debris Detection using Deep Learning Algorithm, Yolov4 and Open CV

Author :Jaslin Fernandes, Karmi Sakhardande, Adinath Pawar, Parul Jadhav, Vinaya Gohokar, Vishwanath Karad

Article Citation :Jaslin Fernandes ,Karmi Sakhardande ,Adinath Pawar ,Parul Jadhav ,Vinaya Gohokar ,Vishwanath Karad , (2023 ) " Space Debris Detection using Deep Learning Algorithm, Yolov4 and Open CV " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 30-34, Volume-11,Issue-3

Abstract : Space debris, also known as space junk, has become a major issue. These pieces of debris or junk whirl around freely in Earth's orbit causing damage to other space objects like satellites, etc. There are three stages to countering space debris: prevention, detection, and removal. [19]. Space debris must be detected and removed in order to decrease or eliminate the damage. This research focuses on detecting space debris and other space objects using YOLO v4 object detection model. Keywords - Deep Learning, OpenCV, Detection, Space Junk, Computer Vision, YOLO V4 Algorithm, Darknet Model

Type : Research paper

Published : Volume-11,Issue-3


	\|		PDF	\|	Viewed - 14	\|	Published on 2024-02-13

Dec. 2024
Submitted Papers	:	80
Accepted Papers	:	10
Rejected Papers	:	70
Acc. Perc	:	12%
Issue Published	:	140
Paper Published	:	1661
No. of Authors	:	4404

Published : Volume-11,Issue-3

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