Quantum-based vehicle detection combines Quantum Machine Learning (QML) and classical computer vision to improve vehicle detection and speed tracking using OpenCV. Quantum PCA is used for feature extraction and dimensionality reduction. Detection integrates Quantum Neural Networks (QNNs) with CNNs for higher accuracy. Quantum optimization refines vehicle speed tracking. Experiments show improved precision, accuracy, and computational efficiency, demonstrating the potential of QML in intelligent transportation systems. © 2025 Elsevier B.V., All rights reserved.