Motion detection .NET components and libraries that are ready to assist developers in creating powerful and impressive applications
Version | 7.8.2.288 |
Updated | December 24 2018 |
Developer |
Mitov Software
N/A
N/A
|
User Rating |
1005
3.5
|
Original File Size | 866 MB |
Downloads | 8105 |
Systems | Windows 2K, Windows XP, Windows XP 64 bit, Windows Vista, Windows Vista 64 bit, Windows 7, Windows 7 64 bit, Windows 8, Windows 8 64 bit, Windows 2003, Windows 2008, Windows 10, Windows 10 64 bit |
Category | Programming |
VisionLab .NET is a series of components for .NET Framework that were designed to aid advanced computer users such as programmers or software developers create complex security and surveillance-related applications by implementing computer vision components. It supports multiple Microsoft .NET languages, such as C#, C++/CLI and Visual Basic.
The pack includes audio filters, audio generators, audio output components, color transformations, computer vision libraries, converters, custom filters, DirectShow Audio output components, DirectShow Video output components, DirectShow Video source components, displays, generic filters, generators, geometric transformations, signal filters, timing components, video filters, video source components, video layers, matrix layers and control elements.
The capabilities this collection of components can help users implement in their applications include motion detection, object detection (based on their shapes), face recognition and detection, fingerprint comparison, as well as target identification and tracking.
It packs multiple components for video capturing that support DirectShow, WaveAPI, VFW (Video For Windows), Win32 API, AudioACM and any possible combination of the above.
VisionLab .NET Crack includes components for motion detection, contour detection, Hough Lines and Circles, Canny and Adaptive Threshold edge detection, Haar face and object detection. It also packs components for video rendering and basic audio processing through DirectShow, Video Display, SignalLab and AudioLab.
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