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Smart Surveillance and Detection Framework Using YOLOv3 Algorithm

In this paper, we proposed a method for locating, identifying, and admitting the activities of intrigued, in nearly actual time, from outlines gotten by a ceaseless tide of video information from an observation camera. This article endorses the way to follow, distinguish, and take note of the exerc...

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Auteurs principaux: Hassan Zaki, Muhammad Kashif Shaikh, Muhammad Tahir, Muhammad Naseem, Muzammil Ahmed Khan
Format: Artigo
Langue:Inglês
Publié: The University of Lahore 2022-12-01
Collection:Pakistan Journal of Engineering & Technology
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Accès en ligne:https://www.hpej.net/journals/pakjet/article/view/2229
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