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There is a fast growing demand from government, law enforcement, and industry customers for solutions to identify persons from video cameras.
Smart Surveillance Face Biometric SDK automatically scans incoming video streams, detects multiple faces and checks if the found faces match a watch list of persons; in case of a match, operators are notified - all in real time. The operators can now focus on the identified person instead of observing a large number of video screens simultaneously.
Applications include the biometric identification of unwanted people at airports or railway stations, in sports stadiums, shopping malls or schools, but also the identification of high ranking customers in order to offer them special services.
The latest release represents a new generation of computer-assisted video surveillance tools, combining the leading face recognition technology with state-of-the art camera and computer equipment.
 Features:
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API to get video streams and images from tracking station
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Real time multiple video stream analysis
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Real time multiple face finding per video stream
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Real time face comparison against watch list based on the latest B3T7 algorithm
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Real time alarm notification and recording
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Interactive and batch enrollment
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Enrollment from still image, still image camera and live video stream
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Integration Kit for integration into existing video systems, including C++ and web services interface
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High scalability in terms of watch list size, number of video streams, and number of visible faces
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Supports IP and GigEVision cameras
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Supports firewire, USB cameras and frame grabber connected cameras through DirectShow interface
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Scalable and robust client-server application
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Template density per computing node up to 1 million
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Runs on Windows 2003 Server / XP and SLES 9 / 10
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Other than English languages on demand
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