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What Is The Composition Of The License Plate Recognition System?

Mar 24, 2022Leave a message

License Plate Recognition System


The license plate recognition system is a technology that can monitor the vehicles on the road and automatically extract the vehicle license plate information for processing. When the vehicle enters the capture area of the license plate recognition system, the license plate recognition integrated machine will be triggered to capture the image of the vehicle and automatically recognize the license plate number.

license plate recognition system


The composition of the license plate recognition system


License plate recognition machine

ANPR parking machine

The license plate recognition machine is the most important core part of the license plate recognition system. It can monitor and capture passing vehicles, and identify the license plate number according to the video stream or pictures.


Vehicle detector

vehicle detector

The vehicle detector mainly plays a triggering role. When the ground sense is triggered, the license plate recognition integrated machine is turned on for monitoring and snapshots, which prevents the license plate recognition integrated machine from being turned on at all times.


Fill light

fill light

It is mainly used to solve the impact on the license plate recognition rate due to insufficient light, and different intensities of fill lights can be selected according to the environment.


Barrier gate

Parking barrier gate

The gate is a management device used to control the entry and exit of vehicles. After obtaining the license plate information of the vehicle required to pass through, the system sends an instruction to control the opening of the gate. According to the type of gate, it can be divided into straight gate, curved gate and fence gate. gates, advertising gates, etc.


System software

license plate recognition system software

With powerful data processing functions, it can set, query and print statistical reports for the equipment under management.


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