The invention discloses an automobile driving safety state real-time monitoring and early warning method based on machine vision and big data analysis, and the method comprises the steps: carrying out the statistical marking of tires on an automobile, and carrying out the damage detection, wear detection, deformation monitoring and tire pressure detection of each tire; counting the damage danger coefficient, the wear danger coefficient, the deformation danger coefficient and the tire burst danger coefficient corresponding to each tire on the automobile according to the detection result, and further calculating the driving state comprehensive danger coefficient corresponding to each tire on the automobile comprehensively, so the safety monitoring of the automobile tires is realized, the monitoring index range is perfected, the defect of single monitoring index of the current automobile tire safety monitoring mode is overcome, the reliability of the monitoring result is improved, the monitoring level of the automobile driving safety is improved, the occurrence of automobile traffic accidents caused by potential safety hazards existing in the driving process of the automobile tire is greatly reduced, and the automobile driving safety is further guaranteed.