Quantifying response latency in video surveillance systems using object detection techniques

Quantifying response latency in video surveillance systems using object detection techniques

연구 분야: Safety

학회: The Journal of Supercomputing

As video surveillance systems become increasingly essential for railway operations, accurate and precise performance testing is crucial. Traditional methods for response latency testing rely on manual readings with millisecond-level clocks, which can lead to compatibility issues, software crashes, and potential security risks. To address these challenges, this paper proposes a response latency testing method based on object detection for railway video surveillance systems. The response latency test method includes two application scenarios: real-time video call and pan–tilt–zoom camera control response. By leveraging the YOLO-V5 model and object detection techniques, the response speed of railway video surveillance systems is effectively evaluated, ensuring testing precision. Experimental results validate the efficiency and feasibility of the proposed approach, emphasizing its enhanced stability and compatibility compared to traditional methods. The proposed approach offers an innovative solution for testing the response lantency of railway video surveillance systems, contributing to the enhancement and optimization of railway operations.