Ness Technologies announced today the launch of two systems that will help fight terror and crime in urban areas, at ISDEF, the international army and police exhibition. The first of the systems is ASM, namely Area Smart Monitoring, the second is The Sixth Sense, a system that identifies suspicious persons in an urban scene.
The ASM builds intelligence situation pictures for urban areas. It is based on a real-time
data fusion and sensor management engine that combines real-time acquired info with data previously analyzed. The target of this system is to monitor urban areas and help enhance public security, creating a real-time urban situation picture that offers critical information to homeland security, law enforcement, as well as to public safety agencies.
"Terror and crime in urban areas are a growing threat to public safety in many countries. ASM and The Sixth Sense enable continuous monitoring and information collection, both in routine and emergency times, in order to spot unusual behavior and identify potential threats," said Michael Zinderman, President, Technologies & Systems Group (TSG), Ness Technologies. "These systems are another milestone in our portfolio of innovative systems serving military, homeland security, law enforcement and emergency agencies."
ASM identifies and track suspicious activities of individuals or group of individuals, helping to prevent terror and criminal acts, as well as helping to capture suspects after an event has occurred, also alerting appropriated personnel when suspected activities are sensed. The
system is capable of working in two ways - either collection mode when it only collects, integrates and displays information gathered on a person or group, or command and control mode, when ASM integrates in real-time the info received from the real-time sources with the analyzed intelligence data.
The Sixth Sense system, on the other hand, is capable of detecting suspicious persons, by tracking all of the objects in a surveilled scene. All moving objects are automatically tracked and each trajectory is carefully examined so to determine whether it's normal or not. There are two types of alerts that the Sixth Sense can trigger: based on user definitions, such as loitering, running, sudden direction change and on the system's self-learning, by accumulating statics during the learning stage.
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