Abstract: In order to solve the safety prevention problem of the high-speed railway line perimeter, improve the identification accuracy of intrusion targets, and ensure that the high-speed railway operating environment is not disturbed by external factors, this paper proposed a method combining edge computing and video monitoring based on the application status and development trend of the existing railway perimeter intrusion monitoring technology. The paper improves the intelligence degree of trackside video monitoring through edge computing, provides more reliable, efficient and intelligent solutions for line perimeter intrusion monitoring, and meets the needs of high-speed railway business development in the era of intelligent railways.