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Safe Park Sentry System using YOLOv8 Approach
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Abstract: Traffic violations and road accidents are increasing rapidly due to the growth of vehicles and lack of efficient monitoring systems. Traditional traffic monitoring systems rely heavily on manual supervision, which is time- consuming, inefficient, and prone to human error.
This paper presents the Safe Park Sentry System, an intelligent traffic monitoring system using YOLOv8 and OpenCV. The system detects violations such as helmet absence, triple riding, overspeeding, and illegal parking in real time.
The system includes a graphical user interface (GUI), database storage, and emergency alert features. The proposed solution improves accuracy, reduces manual effort, and supports smart city infrastructure.
This paper presents the Safe Park Sentry System, an intelligent traffic monitoring system using YOLOv8 and OpenCV. The system detects violations such as helmet absence, triple riding, overspeeding, and illegal parking in real time.
The system includes a graphical user interface (GUI), database storage, and emergency alert features. The proposed solution improves accuracy, reduces manual effort, and supports smart city infrastructure.
How to Cite:
[1] Safe Park Sentry System using YOLOv, Approach, Abdul Sami Mansuri, Khan Ali Hamza, Yaheya Labbay, Koli Aradhya Umesh, Ali Naushadali Tangsal, Mr. Mohammed Sharique Maqsood Ahmed Shah, “Safe Park Sentry System using YOLOv8 Approach,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2026.15459
This work is licensed under a Creative Commons Attribution 4.0 International License.