Magos Systems, the leader in advanced radar detection technology is introducing new features to reduce false alarms at the perimeter and help to streamline security operations at a variety of different types of sites.
The introduction of Blue Force GPS and speed and direction based filtering to the Magos perimeter detection solution provides facilities with increased situational awareness of their site, while reducing nuisance alarms that add to the operator’s information overload and distract them from responding to actual events.
Blue Force tracking leverages GPS technology to recognize authorised personnel as “friendly forces” when their presence is detected by the Magos radar. This feature is particularly useful for facilities that require security staff to regularly patrol the premises.
Using a dedicated application installed on the mobile device carried by security personnel or contractors, the Magos MASS+AI management software correlates GPS data from the device with radar detection data and signals to security system operators that the person is not a threat. “Friendly” status can be easily added or revoked in the MASS+AI software or in an organisation’s integrated video management software platform.
“Radar technology is providing growing value to security operations. It can provide intelligence about an incoming threat – friendly, human, vehicle or wildlife – as well as operational data such as speed and direction,” said Amit Isseroff, vice president, R&D, Magos Systems. “The Magos solution provides this additional awareness and reduces nuisance alarms by intelligently filtering incoming alerts, all in a more cost-effective way than video analytics or other solutions.
Another benefit of the Blue Force feature within the MASS software is the built-in map view depicting the location of these authorised personnel. This enables the operator to locate and dispatch the closest security force when an intrusion has been detected.
The addition of speed-based target filtering further contributes to false alarm reduction as well as added safety-related scenarios. Vehicles travelling at high speeds can be filtered from normal road traffic. An alert can be generated when a vehicle slows down near the perimeter fence
