INTEGRATING COMPUTER VISION WITH YOLOV8 ALGORITHM FOR PID: A STATE-OF-THE-ART ANALYSIS
INTEGRATING COMPUTER VISION WITH YOLOV8 ALGORITHM FOR PID: A STATE-OF-THE-ART ANALYSIS

Summary/Abstract: This research paper investigates the integration of the YOLOv8 algorithm with Proportional-Integral-Derivative (PID) control for real-time object detection and tracking. It explores improvements in the accuracy, efficiency, and real-time performance of the proposed YOLOv8-PID system, especially in scenarios requiring the differentiation of weapons and distinction between military and civilian personnel. Key performance factors are analyzed, and the system’s potential for establishing new standards in computer vision, security, and autonomous systems is evaluated.

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