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FalcoLook a new generation of PC-based face recognition system through a web browser and an Internet connection. FalcoLook offers capabilities of advanced and convenient facial identification systems at a reasonable cost. FalcoLook will automatically scans incoming video clips, detects multiple faces and checks for possible "watch list" matches. If a match is found, operators will alerted and notified - in real time – allowing them to focus on the identified person instead of simultaneously observing multiple video screens through Web browser.
Applications include not only the identification of unwanted people in public places, but also to prevent “buddy punching” by alerting or notified in real time the security manager when the faces cannot be match with the card user store photo. Due to high maintenance on the finger print biometrics system, this “buddy punching” application can also be use for the time attendance system by ensuring that the right person are using their card to swipe on the proximity reader by giving an unmatched report.
Features:-
- Speed - face enrollment time is less than 0.3 sec. and matching speed is 100,000 faces per second in 1:N identification mode.
- Live face detection. - A conventional face identification system can be easily cheated by placing a photo of another person in front of a camera. FalcoLook is able to prevent this kind of security breach by determining whether a face in a video stream belongs to a real human or is a photo.
- Real time face tracking on multiple video streams, probe face comparison against "watch list", alarm notification and recording
- Multiple Face Detection - Click to zoom multiple face processing. it detects all faces in the current frame and can process all of them simultaneously.
- Simple - FalcoLook doesn't require any specific hardware. The face image can be obtained from a IP camera. Image processing and recognition are performed on an ordinary PC through FalcoWeb.
- Prevent “Buddy punching” by alerting or notified in real time or store the unmatched record for future analysis when the faces cannot be match with the card user stored photo.
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