Smart Analytics:
Line Crossing, Object, Intrusion, Face and Crowd Detection
Artificial Intelligence Powered Smart Analytics
Intrusion Detection
VIVOTEK Intrusion Detection can be used to detect persons entering or leaving a virtual area within the camera’s field of view.
Smart Analytics – Example Application Scenarios:
• Detect when a person enters a bank vault or school after hours.
• Detect when a person leaves an emergency exit hallway and fire escape.
Loitering Detection
VIVOTEK Loitering Detection is used to detect a person or a group of people lingering in one area longer than a preset time threshold.
Smart Analytics – Example Application Scenarios:
• Detect a person loitering at a walk-up or drive-up ATM lane.
• Detect a person loitering in a high-theft area of a store.
Line Crossing Detection
VIVOTEK Line Crossing Detection detects a person or a group of people crossing a virtual trip-wire.
Smart Analytics – Example Application Scenarios:
• Detect someone who enters a driveway, an entrance or an exit.
• At a fenced boundary, detect when:
(1) Someone is close to the perimeter
(2) Someone has crossed the perimeter
Unattended Object Detection
VIVOTEK Unattended Object Detection detects unattended objects or objects left behind.
Smart Analytics – Example Application Scenarios:
• Detect boxes placed in front of an emergency exit.
• Detect objects left on subway tracks or platform, on a bridge, or in a bank lobby.
Missing Object Detection
VIVOTEK Unattended Object Detection detects unattended objects or objects left behind.
Smart Analytics – Example Application Scenarios:
• Detect boxes placed in front of an emergency exit.
• Detect objects left on subway tracks or platform, on a bridge, or in a bank lobby.
Face Detection
Smart Analytics – VIVOTEK Face Detection detects and tracks faces in the camera’s field of view.
Example Application Scenarios:
• Detected and captured faces can be used for monitoring and evidence purposes.
Crowd Detection
VIVOTEK Crowd Detection can be used to identify how many people there are in a given area. Stores and business’ can then effortlessly manage social distances between customers, intelligently helping to alleviate the stress of managing customer congestion.
Smart Analytics – Example Application Scenarios:
• Detect congestion when the number of people in a region is more than a set number and trigger an alarm.
• Monitor a special area within which at most one person is allowed at any given time.
