Luxand FaceSDK
FaceSDK enables Microsoft Visual C++, C#, Objective C, Swift, Java, VB, Delphi and Python developers to build 32-bit and 64-bit applications for Web, Windows, Linux, macOS, iOS and Android with face recognition and face-based biometric identification functionality.
FaceSDK is used in hundreds of applications for identifying and authenticating users with webcams, looking up matching faces in photo databases, automatically detecting facial features in graphic editors, and detecting faces on still images and video streams in real-time. FaceSDK has been used for building secure identification, surveillance, time and attendance control systems.
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Stable face recognition robust to lighting conditions
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Self-learning AI recognizes persons with a couple of function calls
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Fast and precise face detection (including mask-on) in stills and videos
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Detection of 70 facial features, smooth facial feature tracking in video
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Automated expression recognition (blink, smile) in stills and videos
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Automated gender and age recognition in stills and videos
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Support for every webcam on the market, including MJPEG-compatible IP cameras
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Detect human faces on images from thermal cameras to measure body temperature and screen for fever
или Зарегистрируйся
Copyright © Для просмотра ссылки Войди или Зарегистрируйся
FaceSDK enables Microsoft Visual C++, C#, Objective C, Swift, Java, VB, Delphi and Python developers to build 32-bit and 64-bit applications for Web, Windows, Linux, macOS, iOS and Android with face recognition and face-based biometric identification functionality.
FaceSDK is used in hundreds of applications for identifying and authenticating users with webcams, looking up matching faces in photo databases, automatically detecting facial features in graphic editors, and detecting faces on still images and video streams in real-time. FaceSDK has been used for building secure identification, surveillance, time and attendance control systems.
Для просмотра ссылки Войди или Зарегистрируйся
Stable face recognition robust to lighting conditionsДля просмотра ссылки Войди или Зарегистрируйся
Self-learning AI recognizes persons with a couple of function callsДля просмотра ссылки Войди или Зарегистрируйся
Fast and precise face detection (including mask-on) in stills and videosДля просмотра ссылки Войди или Зарегистрируйся
Detection of 70 facial features, smooth facial feature tracking in videoДля просмотра ссылки Войди или Зарегистрируйся
Automated expression recognition (blink, smile) in stills and videosДля просмотра ссылки Войди или Зарегистрируйся
Automated gender and age recognition in stills and videosДля просмотра ссылки Войди или Зарегистрируйся
Support for every webcam on the market, including MJPEG-compatible IP camerasДля просмотра ссылки Войди или Зарегистрируйся
Detect human faces on images from thermal cameras to measure body temperature and screen for feverSelf-Learning AI Tracks and Recognizes Faces in Live Video Streams in Real Time
FaceSDK Tracker API offers developers a powerful, self-learning AI for implementing real-time face identification and tracking in live video streams.- Implement automated face tracking in live video streams with a simple function call
- No pre-defined templates and no subject enrollment required
- Automatically assign unique identifiers or set specific names to different faces
- Track moving subjects and receive programmed alerts on subject re-appearance
- Constant self-learning and re-training greatly improves recognition rates as the same face appears at various angles and lighting conditions
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