Detects Faces in Motion, Matches with Watch-list Databases and Reports Results in Real Time
VILNIUS, Lithuania, March 9 /PRNewswire/ -- Neurotechnology, a provider of high-precision biometric identification technologies, today announced the availability of VeriLook Surveillance SDK, a software development kit for biometric face identification using live video streams from high-resolution digital surveillance cameras. Unlike VeriLook 3.2 SDK and other facial recognition systems that require the user to actively look into a camera, VeriLook Surveillance SDK is intended for real-time identification of faces from high-resolution digital surveillance cameras, which can be mounted in airports, retail stores, on the street or in other locations where passers-by may not be looking into the camera. VeriLook Surveillance SDK can also be used for easy time-attendance control applications when a camera is mounted near an entrance, enabling fast, automatic counting and/or recognition of individuals as they pass through.
VeriLook Surveillance SDK processes face images in real-time video streams and matches them against an internal database - such as a watch-list of crime suspects or a list of authorized and un-authorized personnel. Recognized faces are immediately reported to the system. Once a face is detected, it is tracked in all successive frames of video until it disappears from camera view. Face appearance, tracking and disappearance events are reported to the system. The face tracking in VeriLook Surveillance SDK also enables automatic enrollment of faces from a video source and can add new biometric facial templates to the database or watch-list on the fly.
"VeriLook Surveillance SDK is a significant addition to our face identification technologies," said Dr. Algimantas Malickas, CEO of Neurotechnology. "The ability to use surveillance cameras to identify passive users provides a range of new ap
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