Description
License Plate Recognition SDK or ANPR/LPR SDK is a software tool for developers who want, Vehicle license plate identification integrate into your software. The advanced ANPR/LPR engine is capable of license plates Detect images from various video sources (IP cameras, video files, video recorders) and still images (JPEG, PNG, BMP). The fast and stable LPR engine is built on the latest technology and algorithms and supports real-time videos in 1920 x 1080 resolution (Full HD) and license plates of several countries.
Features and features of DTK Software License Plate Recognition SDK:
- support custom video sources, Presentation of decoded image frames (RAW)
- Automatic recognition of license plates (according to the defined list of countries)
- support The direction of the car When recognizing the license plate number in 360 degrees
- useability From programming languages like C++, C#, VB.Net, Java, etc
- Support for MJPEG to HTTP video formats as well as H.264 via RTSP
- Support for standard IP CCTV protocols and coding (such as MJPEG / HTTP, H.264 / RTSP)
- Support for license plates of the following countries: Albania, Austria, Azerbaijan, Bosnia, Belgium, Bulgaria, Brazil, Belarus, Czech Republic, Germany, Denmark, Spain, Finland, France, England, Georgia, Greece, Croatia, Hungary, Oberland, Israel, Iceland, Italy, Kazakhstan, Lithuania, Luxembourg, Latvia, Moldova, Montenegro, Macedonia, Malta, Mexico, Malaysia, Netherlands, Norway, Poland, Portugal, Romania, Serbia, Russia, Sweden, Slovenia, Slovakia, Turkey, Taiwan, Ukraine, Vietnam and Kosovo
required system
Supported programming languages:
- C++ (DLL)
- .NET (.NET wrapper)
- Java (JNI Java wrapper)
- Any languages supported native functions
Supported Operating Systems:
- Windows 32/64-bit (7/8/10/Server 2003/Server 2008/Server 2012/Server 2016)
- Linux (32/64bit, ARM, ARM64)
Pictures
Installation guide
Read the Readme.txt file.
download link
Download DTK_Software_License_Plate_Recognition_SDK_v4.2.119
Password file(s): www.downloadly.ir
Size
123 MB
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