The tragedy at the Boston marathon is predictably energizing the use of video surveillance. Look for more and more cameras to be installed in even remote areas. Of course, with all those cameras, how are they going to watch and analyse all those thousands of hours of video being generated every day. The answer is that it will be done by machine. Behavior predicting software is the next big goal. They have been working on this software for a few years now and appear ready to roll it out on a wide scale.
When thousands of cameras run 24/7 in cities like Boston, New York and
Washington, D.C., video surveillance quickly becomes a big data
challenge. Analytics and automation technologies are the only answer.
The FBI is developing facial recognition capabilities as part of its $1
billion Next Generation Identification program. And IBM sells video
correlation and analysis software that provides facial recognition,
real-time alerts and situational awareness.
Behavioral Recognition Systems (BSR) is developing software that goes beyond the ability to respond merely to preprogrammed objects by learning about an environment, creating "memories" and providing real-time notifications when the software detects something out of the ordinary. On May 14, the vendor announced that it had completed interoperability testing of its flagship product, AISight (pronounced "eye sight"), with Cisco's Video Surveillance Manager, a sign that such advanced capabilities are moving into the mainstream.
In one example of how this technology will be applied, Portland, Ore.'s public transit system, called TriMet, will use BSR's software to monitor bridges and overpasses. The system will learn the difference between a bus or light rail train and, say, a pickup truck that shouldn't be in the area.
http://www.informationweek.com/government/information-management/whats-next-in-video-surveillance/240155161
What's Next In Video Surveillance
Behavioral Recognition Systems (BSR) is developing software that goes beyond the ability to respond merely to preprogrammed objects by learning about an environment, creating "memories" and providing real-time notifications when the software detects something out of the ordinary. On May 14, the vendor announced that it had completed interoperability testing of its flagship product, AISight (pronounced "eye sight"), with Cisco's Video Surveillance Manager, a sign that such advanced capabilities are moving into the mainstream.
In one example of how this technology will be applied, Portland, Ore.'s public transit system, called TriMet, will use BSR's software to monitor bridges and overpasses. The system will learn the difference between a bus or light rail train and, say, a pickup truck that shouldn't be in the area.
http://www.informationweek.com/government/information-management/whats-next-in-video-surveillance/240155161
