LAS VEGAS–(BUSINESS WIRE)–Behavioral Recognition Systems, Inc. (BRS Labs) today announced that its AISight™ Behavioral Analytics™ software, the first analytics solution to use Artificial Neural Network (ANN) technology to accurately recognize and classify objects and behavior, was awarded the Security Industry Association’s (SIA) New Product Showcase (NPS) Award in Video Analytics at ISC West. AISight’s adaptive-learning capabilities specifically address the challenges of complex video-surveillance environments by applying “reason-based” processing which allows for more accurate operation, quick installation and minimal maintenance.
“We are honored to receive the SIA award and believe it further validates BRS Labs as the industry’s thought leader and market innovator, and highlights our accomplishments in Behavioral Analytics”
“We are honored to receive the SIA award and believe it further validates BRS Labs as the industry’s thought leader and market innovator, and highlights our accomplishments in Behavioral Analytics,” said Eric Eaton, CTO of BRS Labs. “BRS Labs’ approach to video analytics represents a fundamental change in the industry away from rules-based systems to a reason-based approach to deliver greater accuracy, scalability and effectiveness.”
Last year BRS Labs received this award for delivering the only analytic product to address the specific issues of Pan/Tilt/Zoom (PTZ) cameras. Until then, video analytic products could only control the positioning of PTZ cameras, because the constant movement of the camera renders rules-based systems ineffective. BRS Labs’ Behavioral Analytics software takes visual input from the various positions of a PTZ camera; automatically learns and stores what activities and behaviors are normal for each view; and generates real-time alerts that notify appropriate security personnel of potentially threatening behaviors, all without human involvement or training.
AISight’s latest innovation, the basis for the award this year, now lets the computer classify objects without any pre-programmed definitions or specifications with its new Micro-Classification Feature. Every object in the camera’s view is classified by the Machine Learning Engine (the brains of AISight), based on its own observations and memories it creates itself. The system decides completely on its own, how a human is classified as opposed to a car or animal or any other object. All objects in view of the camera are categorized and classified based on information unique to that camera.
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