Government Security News April May 2015

Video Surveillance/Analytics/Video Management Software
BRS Labs shows AISight behavioral-recognition
Artificial intelligence, which has
been used to entertain through
toys such as Tamagotchi as well
as to reap profit from picking investments,
is now being used by
Houston-based Behavioral Recognition
Systems Inc. (BRS Labs)
to teach itself typical patterns in
surveillance analytics and to send
alerts that may help companies
avert disaster.
The company’s “Behavioral
Recognition Without Human Interference”
capability is increasingly
being successfully used at
airports and seaports, utilities, in
public safety and security and in
critical infrastructure protection.
Based on a technology that
allows computers to learn when
operations are normal, the system
calls out abnormal activity.
This ability can be applied to different
sensors, industries, uses,
temperatures and flows, and has
been expanded within the last
year to SCADA, according to Wes
Cobb, chief science officer, at the
company’s booth at the 2015 Las
Vegas trade show.
Users do not tell BRS Labs’
newest technology what they are
looking for. And users do not
need to become experts in conducting
analysis. The system,
based on BRS Labs’ signature
AISight technology, tells its users
what is unusual, based on a
typical view from one or multiple
cameras, plus other data.
At ISC West,
BRS Labs shared
how its trademarked
AISight,
an artificial intelligence-based
system, compares
tremendous volumes
of data
gathered from
hundreds, even
thousands of
cameras, as well as other inputs.
From this data, the technology
determines what is typical—and
sends a proactive alert on what is
out of the ordinary.
“The analytics, which were
based in video, were applied to
multiple sensors and now are capable
of SCADA control analysis,
ultimately, transforming beyond
video and gaining acoustic information
and other information
sectors,” said John Frazzini, president
of the company.
“The BRS Labs artificial intelligence
system had been refactored
so that it can compare data
of many different types, learning
as it goes through the new artificial
intelligence learning modules.
We refactored the architecture
of our learning engine for
new sensors,” Cobb explained.
Besides video stream and
acoustic information, BRS’ latest
machine learning system takes
data such as electrical current,
electrical flow and temperature
into account. The analytic system
teaches itself the normal patterns
for these various data—and is capable
of recognizing unusual pat-
18