Public Social Distance Monitoring System Using Object Detection YOLO Deep Learning Algorithm

Computer vision and deep learning are emerging technologies as the backbone system to maintain the public healthcare sector to detect the object and surrounding, especially during the COVID-19 pandemic. Generally, in a single stage, you only look once version 3 (YOLOv3) algorithms promising the best...

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Veröffentlicht in:	SN computer science Jg. 4; H. 6; S. 718
Hauptverfasser:	R, Vijayan, V, Mareeswari, Pople, Vedant
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Singapore Springer Nature Singapore 01.11.2023 Springer Nature B.V
Schlagworte:	Accuracy Algorithms Applications programs Classification Comparative analysis Computer Imaging Computer Science Computer Systems Organization and Communication Networks Computer vision Coronaviruses COVID-19 Data Structures and Information Theory Deep learning Disease prevention Disease transmission Energy consumption Frames (data processing) Frames per second Graphics processing units Information Systems and Communication Service Machine learning Mobile computing Monitoring Monitoring systems Neural networks New technology Object recognition Original Research Pandemics Pattern Recognition and Graphics Research Trends in Computational Intelligence Security systems Social distancing Software Engineering/Programming and Operating Systems Video data Violations Vision YOLO Deep learning Computer vision Object classification Social monitoring Object detection
ISSN:	2661-8907, 2662-995X, 2661-8907
Online-Zugang:	Volltext
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