FaceSDK is a multi-platform library enabling Microsoft Visual C++, C#, VB.NET, Java, and Delphi developers to build a variety of applications that require fast and precise face recognition and identification. Working in 32-bit and 64-bit systems, FaceSDK supports web, Windows, Linux, and Macintosh applications, and enables face-based biometric authentication from still images and real-time video streams.
The latest edition adds multi-threading support, utilizing today's multiple-core, multi-CPU computing to the limit. This and other performance optimizations lead to dramatically increased performance, allowing surefooted identification and recognition of 66 facial features in real time. Now supporting IP webcams and Java, FaceSDK can be used in more applications than ever.
FaceSDK offers fast and precise face recognition and identification, allowing developers to build a wide range of desktop and online applications. Its consistent recognition rates in any lighting conditions and its ability to be used in conjunction with any webcam makes FaceSDK a leader in biometric authentication systems. SDK works with large and small still images, and offers true real-time support by recognizing and identifying faces from video streams.
SDK is loaded with features and comes with a host of samples in a variety of programming languages, allowing web and desktop developers to implement advanced face recognition and identification tasks in a matter of minutes. FaceSDK has been used by the entertainment industry and security specialists, software vendors, and developers of graphic suites to automate a variety of face identification and facial feature recognition tasks, including hands-free authentication and logon systems. Real-time biometric authentication and webcam-based login systems can quickly and easily be built around FaceSDK. A variety of photo processing and video manipulation products use FaceSDK as their face recognition engine.
Tags: face, face recognition, face detection, facial recognition, facial features, facial feature detection, facial feature recognition, face identification, face login
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