MACHINE LEARNING-BASED TOLL ROAD GREEN CHANNEL VEHICLE DETECTION METHOD

The invention discloses a machine learning-based toll road green channel vehicle detection method, which belongs to the technical field of vehicle monitoring. The method comprises the following steps: S1, obtaining image data information of a vehicle to be detected, and preprocessing the image data information to obtain a detected image; S2, identifying the vehicle to be detected based on the detection image, obtaining identification information, and uploading the identification information to a database. The machine learning-based toll road green channel vehicle detection method provided by the invention can efficiently and comprehensively detect the vehicle information and the cargo information, save human resources, intelligentize and automate the detection process, improve the detection efficiency, and comprehensively and accurately identify the cargo. At the same time, uploading the information excavated by vehicles to the database can better curb the fake green channel, which is conducive to the healthy and rapid development of expressway toll collection.