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Facial Detection 2. False Alarm Filter

Facial Detection software will analyse images and determine the presence of a The False Alarm Filter enables the system to perform secondary recognition for
human face. When a face is detected, the system captures its position, size, and human body targets in behavioral detection events (line crossing detection, intrusion
expression. The video stream will judge whether there is a human face. If so, the detection), effectively reducing the false alarms caused by shaking leaves, shadows,
position, size, and main features will be recorded. Identifying characteristics can light variations, vehicles, small animals, etc.
be obtained from this information. When compared against recorded human faces
in a database, a face can be identified. Facial comparison is the process by which Images and alarm messages from IP Cameras
structured data information operates after data modeling and analysis for the
human face.

Line Crossing Detection Intrusion Detection

95% Similar DeepinView Primeter detection
Human Detection & Analysis NVR
05
Cats Leaves

After DeepinMind NVR processes images, the false alarms are filtered out!

Light Cats Rain People
Birds Leaves
Alarm accuracy at least

90%
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