Security Sales & Integration February 2023 - 55

nologies can become distractions more often
than not.
Purposeful data collection - building a rich
network of sensors that delivers a more complete
operational picture of a customer's facility
- can provide important insights.
It's not enough to add the sensors; you have
to be clear about how the sensor data will be
used and realistic about how the data will be
parsed to draw meaningful conclusions. All the
while, be mindful of maintaining appropriate
checks and balances on how all this data is being
used to mitigate bad actors both within
and outside of your customer's organization.
With these parameters in place, this information
can help clients spot potential issues early
and provide the situational context to make
better decisions.
Better Operational
Decisions & Efficiencies
When it comes to data, video is top of mind for
most integrators. Modern video management
software includes opportunities to use video
data to understand operations within facilities
and use that data for actionable insights.
Organizations may not always realize just
how powerful data from video can be. It isn't
just useful to monitor access points and protect
the security of facilities. When video data is
unified with data from other systems, businesses
can gain powerful insights that can be used
to optimize day-to-day operations. A unified
solution allows data to flow seamlessly between
cameras and other sensors and presents that
data through a single interface. This results in
faster response times and more efficient operational
decisions. Organizations may be able to
use the data to spot trends or predict scenarios
that can help their team be more proactive in
decision making.
Data from video analytics can provide actionable
insights that can be used for several
purposes. Sometimes the purpose is enhanced
security - to improve monitoring and response
time when an incident occurs. Sometimes it's
business intelligence - to gather information
that will make operations flow more smoothly
or to improve the customer experience. A third
purpose is forensic - to record video and understand
what happened during an incident
and who is responsible.
For example, people-counting analytics can
be useful for a variety of reasons. A gathering
securitysales.com
crowd could be a sign of trouble, and the software
can be designed to alert someone to monitor
nearby video cameras to see if anything is
amiss. In a retail setting, if video data indicates
a ticket line or checkout station becomes too
busy, the software can alert a designated person
to open a new queue.
In the transportation industry, analytics can
be used to measure the occupancy rates of buses
to indicate which routes are most often used. In
other spaces, people-counting analytics can be
implemented in offices or campuses to identify
frequented spaces or potential bottlenecks. This
can lead to discussions on how to improve the
flow of people through specific areas.
Data, Automation
& Machine Learning
In recent years, we have seen significant leaps
forward in terms of what data can be collected,
how it can be displayed, and how to filter this
information to improve relevance. But it's not
just what you know, it's also what you do with
that information that matters. Machine learning
promises some exciting ways to bridge from
data collection to action, but there are some
misconceptions about what this means in the
real world today.
Purposeful
data collection
- building a
rich network
of sensors
that delivers a
more complete
operational
picture of a
customer's
facility - can
provide important
insights.
HOW DATA ANALYSIS
BENEFITS RETAILERS
By Hiroshi (Huey) Sekiguchi
▶ Business leaders are starting to leverage video data to drive operational
efficiency, enhance customer experiences and drive revenue and higher
profit. AI-assisted cameras now capture valuable data in addition to the
video image. By detecting objects such as people and vehicles and cataloging
basic behaviors such as dwell times, queue length and occupancy levels,
AI-enabled cameras provide an avenue for operations, sales, and marketing
departments to understand how people and vehicles flow in and around their
buildings and spaces.
These edge devices can also describe unique attributes about the objects
they recognize, such as garment/shoe color and approximate age and gender.
The resulting analytics data is crucial when validating marketing strategies,
ensuring efficient operations or simply alerting staff when queues grow
too long. An open AI platform ensures that custom business intelligence
analytics can be easily installed into edge devices as required.
HIROSHI (HUEY) SEKIGUCHI is Executive Vice President for i-PRO
Americas.
FEBRUARY 2023 Security Sales & Integration 55
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Security Sales & Integration February 2023

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