In order to improve the accuracy of driving deviation measurement and intervention, the strategy of two-parameter deviation measurement and intervention is proposed. VBAI was used for image processing, and the optimal binarization segmentation threshold under different environments was automatically solved by using the maximum inter-class variance method. The gray acquisition Lines ware designed to obtain the lane edge points, and the Fit Line algorithm was used to fit the edge points to complete the lane line recognition. According to the prediction model, two parameters of the relative deviation angle and the ratio of pixel distance ware analyzed, and the different intervention results of prompting or alarming ware displayed on the interface. Measured by the road, the alarm accuracy was over 97. 7%, and the processing speed was higher than 1 / 42 s/ frames. The system has practical application value to improve driving safety and reduce traffic accidents caused by deviation.