FACIAL RECOGNITION
Matches the face to that in the database.
Alarms: Option to send alarms, whether face-matching or non-matching, to VMS.
APPLICATIONS
Black List Alarm
(Terrorists, Shoplifters, Known Offenders)
Demographic Profiling
(Age Group and Gender Detection)
Viewership Analytics
(Face Count, Face Presence, Face Frequency)
KEY Features
- It works with generic IP cameras with good quality.
- It works even with PCs; you don’t need high-end systems.
- Works in both indoor and outdoor environments.
- Works with limited pose changes.
- Works even when people are walking.
- Works despite camouflage efforts with spectacles, beards, or wigs.
- Works for people of different ethnicities.
- Face recognition time can be as low as 1 sec.
- Works for up to tens of thousands of registered faces.
- It works even with one registered image per face.
SPECIFICATIONS
- People walking towards the camera with their faces visible frontally.
- The face detection allows ±20 degrees of tilt in both the x and y directions.
- Indoor/outdoor environment with good, constant illumination.
- Works at resolutions 640×480 and above, up to 1080p, and for frame rates above 8 fps.
- Face recognition time is 1-3 seconds.
- Works for a database of up to 10,000 faces.
- No. of registered images per face: 1–10.
- The last-seen time of the recognized face is also shown.
- The environment is indoor as well as outdoor.
- The camera is able to track the detected face when it is moving and does not generate multiple alarms.
Architecture
- A face detected by the camera is matched against the database.
- Alarms are sent to VMS.
