Abstract
Abstract: The evolution of computer vision technologies has ushered in a new era of surveillance capabilities, particularly in the context of bolstering security and safety measures across diverse domains. Among these advancements, the integration of cutting-edge algorithms such as YOLO (You Only Look Once) stands out as a significant contributor to the efficacy of surveillance systems, especially when applied to smart Closed-Circuit Television (CCTV) networks. In this paper, we embark on a comprehensive exploration of the application of the latest iteration of YOLO, YOLO V4, in enhancing surveillance capabilities. At the forefront of our investigation lies the meticulous assessment of YOLO V4's real-time object detection accuracy within CCTV networks
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