Intelligent Vehicle Restriction System Based on Bayesian Optimization

With the rapid development of the economy, the number of private cars has increased significantly, leading to a heightened risk of serious traffic accidents. Therefore, it is imperative to implement measures to restrict the number of vehicles. In this regard, we propose a Support Vector Machine (SVM) model based on Bayesian optimization for vehicle license plate recognition. The experimental results demonstrate the efficacy of this approach. Compared to the conventional SVM model, the Precision and Recall are improved by 15.37% and 1 8.5% , respectively.