Intrada ALPR – License plate & vehicle recognition (ALPR/ ANPR)
Intrada® ALPR (ANPR) is the Q-Free software library solution for Automatic License/Number Plate Recognition (ALPR/ANPR). Intrada® ALPR (ANPR) offers an SDK for reading registration numbers from license plate images. We offer an API for easy integration with C++, C, C#, and other .NET applications.
Intrada® ALPR SDK is already used by many OEM partners and integrators worldwide to recognize license plates for vehicle recognition. Applications range from parking, access control, and surveillance systems to speed enforcement systems and tolling systems. The reason to choose Intrada® ALPR is always the combination of accuracy and ease of API integration with the availability of any country module and the ability to run on any regular platform.
Vehicle Analytics feature is an Intrada® ALPR to gather additional vehicle characteristics for vehicle recognition in the Intrada ALPR SDK. Vehicle analytics adds:
- Vehicle Class – Enables operators to charge differently for motorcycles, cars, and buses.
- Vehicle Color – Helps operators and law enforcement easily locate matching vehicles.
- Vehicle Model/Make – Further helps agencies and officers identify lost or suspect vehicles.
- Vehicle Angle – Determines which side of the vehicle is facing the camera, e.g. front of rear, helpful in determining entry and exit points in parking applications.
Unsure what ALPR product you need? Read our article on selecting an ALPR engine to get to grips with some of the jargon and choices you have.
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Licensing and Maintenance
|License||Performance license||OEM license||Standard license|
|Free SDK Included
|Pricing||Performance-based SLA||Forecast annual volumes||Per camera or recognition|
|Software maintenance||Included||Included||Optional (15% yearly)|
|Supported countries||Over 200 countries and states around the world|
|Countries included||All||All||1 country + generic|
|Hardware locking||None||None||USB dongle|
*Application of Intrada® ALPR in tolling back offices typically implies tuning and meeting the specific levels of identification performance and vehicle recognition. For such projects, we invite you to contact us directly or read about our license models.
|Supported API languages||C, C++, C# and other .NET languages|
|Available bindings||Java, Python|
|Image file formats||JPG (8bit/12bit), TIFF, BMP, PNG|
|Raw image formats (in memory)||8bit grayscale, 8it Bayer (CFA), 12bit grayscale, 24bit RGB, 36bit RGB, YCC 4:2:2, YUV 4:2:0|
|Video formats||MJPEG, H.264, RTSP, RAW frames (in memory)|
*) Support for the ARM family encompasses all regular processor and configuration variants, including the models as installed on the various Raspberry Pi and Pine processor boards.