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News

US Anti-Terror Initiative Could Gain Benefit From Behavioural Analytics

BRS Labs : 10 May, 2010  (Technical Article)
Based on performance in existing US installations, BSI Labs is proposing the use of behaviour analysis on CCTV networks across the country to form part of the Urban Area Security Initiative (UASI) designed to combat the threat of terrorism
Major cities across the US are installing robust networks meshing a variety of camera, chemical, biological, and identity recognition sensors to improve the security related to densely populated urban areas. The US Department of Homeland Security has issued Urban Area Security Initiative (UASI) grants over the past few years in an effort to enhance the security posture of major US Cities. These grants seek to protect the public by creating an interoperable network of advanced technology, designed to increase situational awareness and combat terrorism and criminal activity. Including Behavioural Analytics based video surveillance software into these security technology networks adds a critical component to help identify suspicious behaviour taking place under the observation of a CCTV system.

With over 40 patents, BRS LABS has developed the world's first video surveillance behavioural analytics platform, known as AISight, designed to autonomously serve as the eyes and brain of a city and other critical security environments, watching and identifying suspicious behaviour 24/7. Able to track and identify hundreds of individual moving objects simultaneously, the artificial neural networks within AISight learn to differentiate between normal behavioural patterns and abnormal activity, alerting on suspicious actions as they unfold. AISight is deployed globally across multiple critical infrastructure facilities, intelligence agency applications, and urban areas and will be demonstrated during the upcoming All Hazards Consortium Regional Urban Area Security Initiative (UASI) Workshop in Philadelphia May 10-11.

Related to an urban area security initiative, remote video surveillance monitoring firm ION 24/7 has deployed AISight across the City of Birmingham. AISight has successfully identified a wide array of suspicious behaviour proactively delivering actionable intelligence to law enforcement. "What we look for is unusual activity within a scene: drug deals, gang activity, unfolding security threats, and anything that the Birmingham police would want to know about and make an arrest," says Richard Cruit, Vice President of ION 24/7. "With AISight's help, we make that determination if it is a drug deal, if it is gang activity, or other urban security threats and make a call directly to the Birmingham police department and guide them in, giving them situational awareness of what's occurring."

In the recent attempted bombing attack in New York, a citizen observed smoke emerging from a parked SUV, recognized the threat and notified police. A disaster was averted, thanks to the sharp observance of a New York City resident and timely police intervention. Based on advanced neural network science which identifies suspicious behaviour in the same way the human brain would, Behavioural Analytics based video surveillance software from BRS LABS automates the recognition of unusual or anomalous behavioural patterns in real time - quickly notifying urban area video surveillance personnel of potential security or terroristic activity.

"The use of advanced artificial neural network technology for the proactive identification of security threats is the future of intelligence based law enforcement operations," says John Frazzini, BRS LABS President and former US Secret Service agent. "The recent attempted bombing in New York City highlights the need for a proactive as well as reactive and forensic use of video surveillance systems. The identification of possible security threats in real time based on the detection of anomalous behavioural activity can materially shift law enforcements readiness posture to a more forward leaning stance."

Behavioural Analytics technology platform, the backbone of the AISight system, combines computer vision with machine learning technology to provide actionable intelligence through real-time anomalous behavioural patterns. This field-tested, proven product takes visual input from a live camera or recorded video, autonomously learns what activities and behaviours normally occur within each unique camera's environment, and notifies security personnel of anomalous behaviours with real-time alerts. The system is managed and monitored through desktop and browser-based applications, hand-held devices or existing command and control systems and third-party video management systems (VMS.) AISight's easy installation and setup require no coding of rules or trip lines and no designation or masking of any areas within the camera's field of view. AISight can effectively and efficiently enhance the security industry's efforts to watch the tens of millions of video cameras used globally - providing faster identification of evolving threats and better protection of critical assets. AISight is currently successfully deployed in applications across the globe that typically confound traditional video detection systems including seaports, airports, transportation, law enforcement, public facilities, and other complex environments involving large-scale and diverse distribution of surveillance cameras.
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