License Plate Recognition🔗
Module License Plate Recognition is intended to recognize state license plates of cars with saving information about the time and date of recognition, the license plate of the car, as well as links to the corresponding video frame in the archive.
Capability of the module🔗
Recognition of license plate with the following information:
Vehicle registration number
Country code
The color of the license plate
License plate recognition for the countries listed below:
Great Britain (GB), India (IN), Indonesia (ID), etc.
Warning
Recognition of license plates from other countries is not guaranteed.
The module operates at vehicle speeds up to 120 km/h.
The following vehicle brands are defined:
Audi, BAIC, BMW, Buick, CNHTC, Changan (Chana), Chery (Chirey), Chevrolet, Citroen, Daewoo, Dodge, FAW, FIAT, Ford, Freightliner, GAZ, Geely, GreatWall, Hino, Honda, Hyundai, Infiniti, Isuzu, Iveco, JAC, Jaguar, Jeep, KIA, KamAZ, KrAZ, Lada (VAZ), Landrover, Lexus, Lifan, MAN, MAZ, MAZDA, Mercedes-Benz, MINI, Mitsubishi, Nissan, Opel, Paccar, Peugeot, Porsche, Renault, SAIC, Scania, Shacman, Skoda, Subaru, Suzuki, Tatra, Toyota, UAZ, Ural (UralAZ), Vauxhall, Volkswagen, Volvo, ZIL.
The vehicle color is determined from a preset list:
White
Yellow
Green
Red
Brown
Silver
Blue
Dark gray
Black.
Note
When you select to display the second color in the settings, both colors are shown with their priority.
The vehicle is classified into the following types:
Passenger car
Truck
Light truck
Motorcycle
Bus
Construction equipment.
Note
Vans are of the Light truck type.
Minibuses are of the Bus type.
When recognizing a license plate the Recognized license plates event is generated.
Accuracy of recognizing vehicle attributes:
Brand - 94%.
Color detection:
One color - 90%
Two colors - 94%
Vehicle type - 92%.
Warning
It is necessary to take into account that the use of neural network for attributes definition increases the load on the system by 5-10%.
Reports🔗
The following reports are available in the module and similar Automatic reports:
Additional information🔗
To automate the extraction of recognized license plate lists, you can use the capabilities of Eocortex API.
Interaction with barriers can be implemented through signal outputs of IP cameras or other network devices supported by Eocortex.
Warning
The country code is not displayed in reports and the camera cell. It can only be obtained through Eocortex API. At the same time, the country code can be used in automation scenarios under the Recognized license plates event conditions.
Note
When switching to this module from other license plate recognition modules, the previously recorded events will be preserved.
Note
The license plate database is the common for all license plate recognition modules.
The module can use NVIDIA video cards.
Compatibility with other modules.🔗
Compatible with modules:
Auto Zoom
Loud sound detection
Fire and Smoke Detection
Abandoned object detection module
Face Mask Detection
Sabotage Detection
Crowd Monitoring
Personnel Activity Monitoring
Shelf Fullness Check
Uniform Detection
Face detection
Emergency Vehicle Detection
Counting People in Queue
Object Classification and Counting 1
People Counting 1
Unique Visitor Counting
Search for Objects
Frame Area Blurring
Face Recognition (Complete) 1
Face Recognition (Light) 1
Traffic density heat map
Tracking
1 With simultaneous use, a module selection is available for displaying the analysis results in the Eocortex Client application.
Incompatible with modules:
Fisheye dewarping module
License Plate Recognition (Complete)
License Plate Recognition (Light)
Usage🔗
The module usage in the application Eocortex Client.