Face Recognition System using YOLO v9 Model

Author(s)	Chetana Chetana
Country	India
Abstract	Face recognition has become a pivotal technology in various applications, from security systems to personalized user experiences. The evolution of deep learning models has significantly enhanced the accuracy and efficiency of face recognition systems. This paper explores the application of the YOLOv9 (You Only Look Once version 9) model in face recognition tasks. We delve into the architecture of YOLOv9, its advancements over previous iterations, and its integration into face recognition frameworks. Through experimental evaluations on benchmark datasets, we assess the performance of YOLOv9 in terms of accuracy, speed, and computational efficiency. The results indicate that YOLOv9 offers substantial improvements, making it a viable solution for real-time face recognition applications.
Keywords	YOLOv9, deep learning, face recognition systems, face recognition frameworks.
Field	Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In	Volume 16, Issue 4, October-December 2025
Published On	2025-11-30

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