combining video and fence sensors to reduce false alarms
Senstar, a leading provider of sensing and information management solutions for the protection of critical infrastructure, showcases award-winning and groundbreaking technologies at ISC West this week, in Las Vegas. The company highlighted its award-winning sensor fusion engine, a wide range of perimeter sensors, and software innovations for security and business operations.
“Our development team has made advancements with the Sensor Fusion Engine, a breakthrough AI-based technology that reduces setup complexity, defeats nuisance/false alarms and ultimately gives the customer the highest level of confidence in identifying and detecting real threats”, said Jeremy Weese, Chief Technology Officer for Senstar. “Sensor fusion is Ideal for protecting specific problematic perimeter zones where the performance of existing technologies isn’t sufficient.”
The sensor fusion engine accesses low level data to intelligently characterize potential risks. Data synthesis enables the system to achieve levels of performance that exceed those of the individual sensors."In other words, the sensor fusion has access to data from both the fence sensors and synthesizes it with data from symphony VMS. This increases the detection probability and helps avoid situation like an alarm triggered by a sign flapping against the fence in high wind, or overcome intruders that try to overcome the fence sensor by placing a ladder very slowly against the fence, so it doesnt trigger the fence alarm" explained Tom Hofer, product manager in Senstar during an ISC West booth tour.
To demonstrate this capability, booth visitors at ISC West could play an interactive basketball game, placed against a fence sensor that showed how the system differentiates between nuisance alarms and real threats.
"The sensor fusion engine is meant to allow each sensor to work better. and can be activated through Symphony VMS or with a blackbox and is ideal for areas prone to false alarms. in the next steps we are working on integrating it also with the Senstar optical fiber Sensor" added Hofer.
Last year, the Sensor Fusion Engine was a proud recipient of a Security Industry Association NPS Award, and soon this solution will work with a new AI-based high-performance video analytic. Weese stated, “The analytic uses a trained, deep neural network (DNN) to accurately classify objects, enhancing the performance of the sensor fusion engine even further.”