Senstar, a firm specialising in video management and perimeter intrusion detection solutions, has launched a new sensor fusion engine which synthesises data from multiple sensors to generate actionable information.
Says Jeremy Weese, Chief Technology Officer of Senstar, "[We have developed] an engine that analyzes real-time data alongside historical, locational, environmental, and classification data before generating an alarm. 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 characterise potential risks and data synthesis, enabling the system to achieve levels of performance exceeding those of individual sensors.
For security applications, this has direct, practical benefits – namely the ability to maximise the strengths of individual sensor technologies while avoiding their shortcomings. When signal response data from outdoor sensors is synthesised with video analytic data, nuisance alarms generated by wind or debris are virtually eliminated while maintaining the system’s high probability of detection.
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.