Design of an Automated Control System for Off-Site Law Enforcement of Traffic Violations Based on Image Processing
A traffic violation off-site law enforcement automation control system based on image processing technology has been designed to address the growing problem of urban traffic flow and traffic violations.Based on advanced convolutional neural networks,this system can be used to analyze the images captured by traffic surveillance cameras,achieving automatic detection and accurate recognition of traffic violations.At the same time,an efficient image quality evaluation algorithm has been introduced,selecting clear illegal images as law enforcement basis,significantly reducing the burden of manual review and improving the intelligence level of traffic violation detection.
image processingtraffic violationsoff-site law enforcementautomated control
NETL
NSTL
万方数据
