iAware Airport applies our behavior predictive algorithm to develop malicious intent awareness via video analytics to the protection of both the public and sterile areas of commercial aviation airports regulated by the Federal Aviation Administration in the United States and similar regulatory bodies in other nations. 

The externally focused aspects of iAware Airport provides security enhancements designed to address exposures that represent the highest potential threats to the sterile Air Operations Area (AOA) of airports, specifically perimeter management and control of the direct operational area (which includes the aircraft movement areas, aircraft parking areas, loading ramps, and safety areas). 

Airports often cover vast amounts of geography, and many are surrounded by dozens of miles of simple chain-link perimeter fence systems. These fences provide minimal deterrence. Intruders breach airport fence systems about once every ten days, with significant numbers of intruders scaling barbed wire-topped fences or simply walking past perimeter access checkpoints. 

Airports often cover vast amounts of geography, and many are surrounded by dozens of miles of simple chain-link perimeter fence systems. These fences provide minimal deterrence. Intruders breach airport fence systems about once every ten days, with significant numbers of intruders scaling barbed wire-topped fences or simply walking past perimeter access checkpoints. 

Our concurrent circumstantial semantics and sentics algorithms could develop a unified view of the perimeter, providing law enforcement with the image, description and up-to-the-minute location of an intruder even before an actual fence breach occurred.

When monitoring passenger drop off and pick-up areas, iAware’s LPR capabilities constantly evaluate vehicle data and reliably identify malicious intent activities that may develop into active threats, delivering appropriate alerts to airport law enforcement personnel.

Inside the terminals, iAware Airport’s internally-focused aspects provide unmatched evaluation of actors and objects, reliably identifying malicious intent activities that may develop into active threats. 

iAware is constantly evaluating all video streams for gun detection, knife detection, dispute detection, panic detection, anomaly detection (identifying abnormal behavior which might otherwise go unnoticed, such as wrong direction detection for vehicles and actors), specific movement detection (such as line crossing, loitering, person running, etc), unattended object detection (such as vehicles that have been left in unauthorized places or bags that have been left unattended) and a host of other potential threats.