Ottawa-based Senstar announced its new sensor fusion engine which synthesizes data from multiple sensors to generate actionable information.
“The concept of sensor fusion is not new, but we have taken it beyond simple Boolean logic integration to develop an engine that analyzes real-time data alongside historical, locational, environmental, and classification data before generating an alarm,” said chief technology officer Jeremy Weese in a company statement. “The resulting decrease in nuisance alarm rates and increase in system confidence enables security operators to focus on what’s important – namely a quick and efficient response to real security threats.”
The Senstar sensor fusion engine accesses low level data to intelligently characterize potential risks and data synthesis enables the system to achieve levels of performance that the company says exceed those of the individual sensors. When signal response data from outdoor sensors is synthesized with video analytic data, nuisance alarms generated by wind or debris are virtually eliminated, says Senstar, while maintaining the system’s high probability of detection.
“Senstar’s sensor fusion engine is a game changer in the industry as it is specifically addresses one of the top concerns for perimeter security–nuisance alarms,” said managing director Fabien Haubert. “Senstar continues to differentiate itself by advancing security technologies and simplifying deployment to better serve customers in the utilities, logistics, corrections, and energy markets.”
Driving Senstar’s new sensor fusion engine is the Senstar Symphony Common Operating Platform, a modular solution for security management and data intelligence. In addition to being an open, highly scalable video management system with built-in video analytics, it includes full-featured access control and perimeter intrusion detection modules.
Senstar’s sensor fusion engine and the Senstar Symphony Common Operating Platform are being demonstrated at GSX, Sept. 27-29 in Orlando, Fla.
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