About Me

BRS Labs is the industry leader in video surveillance analysis technology, and the software development company has ushered in the next evolution in security systems. Since its inception in 2006, BRS Labs has innovated revolutionary software that has paved the way for terrorist and criminal behavioral recognition security systems. BRS Labs currently holds over 16 U.S. patents in security innovation and thus far, is the only company of its kind to apply machine-learning technology to video surveillance, securing its position as the future of surveillance. BRS Labs, with the help of a team of machine-intelligence and video analysis software engineers and scientists, innovated AISight, an adaptive learning security system that provides the ultimate video surveillance technology to clients ranging from the government sector to retail stores. BRS Labs AISight uses what is known as computer vision to see exactly what the camera sees, taking the video feed and analyzing the frames individually. AISight had been designed to simulate human behavioral recognition by using machine intelligence to create software that could identify moving objects, classify them, and follow them through each frame. Once the AISight software is installed, it immediately goes to work, using its sophisticated algorithm to learn what is normal for any given environment and issues real-time alerts to security officials if any suspicious or aggressive behavior takes place.



What sets BRS Labs technology apart from other software developers is its ability to harness the power of machine learning in order to recognize and anticipate behavior based on memories the software has acquired by observing the typical actions of humans, animals, or inanimate objects that move in the monitored environment. BRS Labs purposely designed AISight to be adaptive software, meaning that it is not hard-coded with parameters for abnormal behavior; it is a progressive system that constantly stores and updates information about its surveillance area, making its security alerts more accurate as each day passes and reducing false positives. This eliminates the need for a human operative to watch the worlds growing number of security monitors.