Abstract: An intelligent detection model for mobile traffic enforcement is presented to detect the vehicle violations on highways. The system model is divided into four sub-modules including the lane detection, vehicle detection and tracking, inverse perspective transformation and geometric measurement, and map matching for lane locating. The system model algorithm is tested in highway road environment, as well as special tests such as lane line detection, vehicle target and tracking to characterize its performance to detect vehicle violations. The test results show that the system model has certain ability to recognize vehicle violations in complex traffic environment. At the same time, the relevant special tests show that the model can detect and record illegal vehicles quickly and accurately.