Multi-lane free flow (MLFF) electronic toll collection (ETC) lane system and license plate identification method thereof

Abstract

The application relates to an ETC lane system under an MLFF scene and a license plate identification method of the system. The system comprises a road side unit , a video intelligent identification subsystem possessing a vehicle detector and a camera, and an industrial control subsystem. The industrial control subsystem combines the coordinate information of a vehicle-mounted unit reported by the road side unit and a vehicle detection triggering signal reported by the vehicle detector to judge, after the situation that a vehicle is located in a shooting area, is determined, the corresponding camera is controlled to capture and identify the image of the vehicle. According to the present invention, the camera is triggered to shoot by a method of combining the positioning information of the vehicle and the triggering signal of the vehicle detector, thereby reducing the spurious triggering situation, and improving the system efficiency. In one embodiment, by the positioning information of the vehicle, and by combining the triggering area of the vehicle detector, the camera is controlled to shoot the vehicle entering the triggering area later, thereby reducing the omissive shooting situation, and further improving the license plate identification success rate of the system.

Description

technical field [0001] The present application relates to the technical field of intelligent transportation, in particular to a Multi-Lane Free Flow (MLFF, Multi-Lane FreeFlow) Electronic Toll Collection (ETC, Electronic Toll Collection) lane system and a license plate recognition method thereof. Background technique [0002] When charging vehicles through urban roads, bridges, tunnels and other transportation infrastructure, the fairness of the card charging method is better, but there are defects such as low efficiency, affecting traffic, congestion, and polluting the environment; while the annual ticket charging method is more efficient. High, but lacks fairness, because the vehicle travels more and travels less, and the payment is the same whether it travels or not. Therefore, the pay-per-use method in the scene is usually used now, which can solve the problems of charging efficiency and fairness at the same time. The MLFF electronic non-stop toll collection system mean...

AI Technical Summary

Problems solved by technology

In the scheme of using laser triggering to capture and then carry out license plate recognition, because the optical signal emitted by the laser is easily affected by environmental factors, when encountering heavy fog, heavy snow, heavy rain or other weather, or when the air quality is poor, the function of the device will be reduced. Big discount

Because in bad weather, there are many particles, snow particles, raindrops and other substances in the air, which make these substances refract, reflect, block and absorb energy after hitting the laser. These phenomena will cause false triggering of the equipment, which may cause Cause license plate recognition error

Moreover, if the camera is mistakenly triggered to take pictures and analyze the license plate, it may cause the camera to process the data of the previous picture when there is a real vehicle coming, resulting in missed shots.

Or, when a car has been in the trigger area of ​​the laser and does not leave, and another vehicle also enters the trigger area, the laser only triggers a photo when the previous car enters, and no photo is taken when the next car enters, so that Also lead to missed license plate

In the solution of using video stream for license plate recognition, because of the large amount of data processed, it takes a long time for the camera to perform a license plate recognition, and there are cases where the license plate is missed due to low efficiency.

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