Reliability testing and evaluation method of highway tunnel video event detection system

Due to the complex road conditions and large changes in light and darkness in highway tunnels, vehicles are prone to traffic accidents while driving. The video incident detection system can help managers detect dangerous situations in tunnels in time, thereby reducing the probability of driving accidents. With the development of deep learning and computer vision technology, the capture rate and accuracy of video event detection algorithms have been greatly improved. This article proposes a testing and evaluation method for the application reliability of event detection algorithms. Multiple sets of algorithm systems are tested in parallel in the experimental environment. Quantitative evaluation methods are used to evaluate the reliability of multiple sets of algorithm applications, which can provide guidance for subsequent detection. Provide reference for the optimization and improvement direction of the algorithm.