Security Sales & Integration October 2021 - 37

two individuals rather than just one and raise
an alert only in that circumstance. Using AI to
recognize certain situations known to increase
the probability of a crime brings tremendous
value to the monitoring company, and for the
customer improves security while optimizing
labor costs associated with monitoring. "
" AI's ability to accurately identify humans
and vehicles reduces false alarms by 90% or
more, " says Brian Baker, chief revenue officer,
Calipsa. This reduction, he says, allows central
station operators to focus on real events and enables
law enforcement to respond less to nonthreatening
activities.
" AI-based software performs an initial review
to eliminate virtually all alarm events not containing
humans or vehicles. Station operators
analyze the reviewed video to ensure the alarm
isn't the result of an event such as planned maintenance
at the site. Law enforcement officials
have confidence in response calls when they
know a human has reviewed the video and verified
assistance is required. With fewer incoming
nuisance calls, officers can respond more quickly
to events genuinely requiring their presence. "
Along with the addition of AI, video verification
technology itself has improved considerably
the past couple of years. Joey Rao-Russell,
president and CEO of Kimberlite (largest independent
Sonitrol franchise), points out that,
" Analytics and quality continue to improve
while price points reduce. With higher pixel
resolutions and better learning software, we can
pinpoint specific events such as loitering. We
can also use facial recognition and other analytics
to determine people, colors, shapes such
as cars, with greater accuracy. All of this allows
for decreased false alarm and greater ability to
monitor efficiently. "
Video Use Gains Traction
The use of video verification has indeed gained
momentum. Morgan Hertel, vice president of
technology and innovation for Rapid Response
Monitoring, states, " There is no doubt that
it's starting to accelerate, with other factors in
addition to improved tech and cost pushing it
along. Video has become more mainstream and
the idea of using it to enhance security is more
acceptable than five years ago. You can also factor
in the costs of false alarms or the increase of
areas requiring verified response. "
Other improvements he cites include: Increased
Internet speeds and availability; better
securitysales.com
OCTOBER 2021 Security Sales & Integration
37
video compression CODECs; better analytics
at the edge as well as in the Cloud; better integrations
with consumer applications and platforms;
and cameras today are more affordable
and have smaller footprints.
Video verification technologies are improving
in terms of image quality but, more importantly,
in the realm of applied analytics. This
helps operators identify potential threats within
video images/streams, adds Mark McCall, director,
global monitoring, STANLEY Security.
Analytics, he says, are becoming increasingly
effective in identifying human beings even in
low light conditions.
" Analytics also allows video monitoring to
scale more cost-effectively in the monitoring
center - something that is critical for maintaining
low cost for customers and reasonable
profit margins for the monitoring company.
Without the reduction in nuisance alarms,
staffing for video monitoring becomes much
more costly and impacts the ability to remain
competitive in the market. "
AI Vs. Analytics Technology
As Hertel explains, " There is a big difference
between AI and video analytics. Today, most of
the video applications are really an analytic that
is purpose-built to detect something. Examples
are people vs. weather, tripwires, people counting,
face mask adherence, etc. Some of these
can be very specific and complicated in nature
but are still just designed to track one thing. "
AI, on the other hand, is when you take an
analytic like human detection, then start to
add in other data elements for the purpose of
reaching a decision, Hertel points out. " A simVideo
has
become more
mainstream and
the idea of using it
to enhance
security is more
acceptable than
five years ago.
- Morgan Hertel, Rapid
Response Monitoring
Video verification technologies
are improving in terms of image
quality but, more importantly,
in the realm of applied
analytics. This helps operators
identify potential threats within
video images/streams.
COURTESY OF STANLEY SECURITY
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Security Sales & Integration October 2021

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