DTK WNR SDK (Wagon Number Recognition) is a software development kit designed for software developers who want to integrate freight wagon number recognition into their software products. The WNR Engine detects and recognizes wagon number from various video sources (IP cameras, video files, video capture devices) and still images (JPEG, PNG, BMP). The fast and stable WNR Engine is built on the latest technologies and algorithms, provides highly accurate plate recognition from the real-time video at a resolution up to 1920x1080 (Full HD).
The base programming interface for WNR Engine is C++ native library with header file (<DTKWNR.h>) where defined all available API functions.
Hovewer, WNR engine can be used with many other programming languages (like .NET, Java, etc.) and development environments.
The SDK package have samples included for various programming languages, such as C++, C#, Java.
The samples source codes you can find under the following directories:
/samples/cpp
/samples/csharp
/samples/java
etc.
The WNR Engine is a library which is built for different architectures for Windows and Linux operating systems.
The SDK package include the following versions of WNR Engine:
/lib/windows/x86/DTKWNR.dll (Windows 32-bit)
/lib/windows/x64/DTKWNR.dll (Windows 64-bit)
/lib/linux/armhf/libDTKWNR.so (Linux ARM hard-float)
/lib/linux/arm64/libDTKWNR.so (Linux ARM64 / AArch64)
/lib/linux/x86_32/libDTKWNR.so (Linux 32-bit)
/lib/linux/x86_64/libDTKWNR.so (Linux 64-bit)
The DTKWNR library require the following dependency libraries:
for Windows:
DTKVID.dll
DTKAVCodec.dll
DTKAVFormat.dll
DTKAVUtil.dll
DTKSWScale.dll
DTKSWResample.dll
for Linux:
libDTKVID.so
libavcodec.so
libavformat.so
libavutil.so
libswscale.so
libswresample.so
Those libraries are located under folders where appropriate version of DTKWNR library is located.