loader image

Hikvision ANPR

Automatic Number Plate Recognition Solutions

Improve Parking Entrance Management

and Site Security

The ability to identify vehicles at parking entrances can provide major benefits for businesses, local authorities, and a range of other organizations. Now, managers in any area can improve entrance security to schools, offices, and factories, for instance, or implement road tolling, and much more.

Hikvision’s ANPR systems “learn” number plate information within a scene, recognizing a much higher number of automobile plates and with much higher efficiency than conventional ANPR systems. They also no longer require the frequent and often cumbersome camera positioning adjustments.

Key Features


Ultra-high number plate recognition rate and non-stop vehicle flow monitoring


Auto-alarm triggering for blacklisted license plates


Easy deployment and installation

Centralized Management

Vehicle passing records and real-time alarm management

Solutions Overview

Excellent low-light performance and clear imaging against strong back lights

Advanced technology enables smooth live view in poor network conditions

Powerful video surveillance capabilities including license plate recognition

Hikvision’s advanced algorithms can recognize multiple plate types. Hikvision ANPR cameras satisfy global applications with recognition accuracy higher than 95 percent. Versions customized for specific region can reach 98 percent accuracy or more. At present, Hikvision ANPR cameras have been applied in parking lots, buildings’ entrance and exist, etc. and are approved by many customers.

Let’s Find The Right Technology For You

We sort out the best stuff for you. Connect with us now and let’s start working together!


Inquire Now

Send a message now and let’s find the right technology for you

Be A Partner

Register and be one of our more than 800 partners in innovation

Get Support

Connect now to our technical customer care representatives

Learn More

Get to know why you should choose MEC for your technology