Security Sales & Integration May 2022 - 31

marketing - video systems, Bosch. " AI can help
users to be proactive, predicting unforeseen
or future situations and prevent them from
happening. This strengthens the protection of
people and property and assists in uncovering
business opportunities that create new revenue
streams or reduce operational costs. "
Let's find out what the experts say is realistic
today and tomorrow implementing AI for security,
safety and operational uses.
The Data Doesn't Lie
Florian Matusek, director of video analytics,
Genetec, contends that AI and machine learning
are fundamentally changing our industry
because they're making all security, physical security
applications data driven.
" AI, on the one hand, creates more data, and
analytics is a good example of that where it extracts
information out of the video, " he points
out. " But on the other hand, it also helps get
insights into this data. That's because the more
cameras and the more sensors that are installed,
the more data there is. This is where AI helps
us to understand this data and create more insights
than before. "
Deep neural network-based video analytics is
without question improving the accuracy of detection.
As Garms points out, this advanced analytics
technology relies on deep learning, which
uses artificial neural networks that attempt to
mimic the human brain, allowing it to learn
from large amounts of data and recognize patterns
to tackle more complex tasks faster, easier,
and more accurately. This, he says, means it can
more accurately detect people and objects, such
as vehicles, even in congested scenes.
In addition, many customers today are coming
to understand the potential of metadata.
It continues to provide more context to events
and allows real-time video and recorded footage
- large amounts of it - to be quickly
organized, searched, retrieved and used. The
functions that are enabled, as a result, Burrows
notes, can be broadly categorized into three
areas: searching; alarm triggering and notifications;
and reporting.
" Previously, without metadata, video footage
remained unstructured and difficult to search.
Earlier-generation surveillance systems couldn't
'watch' video or interpret it like a human operator
could, " he says. " But today's AI-enabled analytics
video solutions can. Today they are performing
many core interpretations and sorting
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functions more quickly, more accurately, and
more consistently than operators ever could. To
enable this rapid sorting, metadata uses markers
such as color, location and time. And, increasingly,
it can classify what it sees, defining, for example,
all those changing pixels as 'a person,' 'a
vehicle,' or another predefined object of interest;
and it can classify by type, size, and movement
characteristics such as velocity or location. "
And, as Garms well points out, the power to
predict requires making good and efficient use
of the rich and versatile data generated by video
systems. " The key to this is combining artificial
intelligence with the IoT, " he explains. " AIoT
products add sense and structure to video data.
Their AI capabilities enable them to understand
what they're seeing and to add meaning to captured
video with metadata. This is an important
first step in converting data into actionable
insights and building predictive solutions. This
approach is shaping the future of security. "
AI Will Stay Healthy Post-Pandemic
As Trinh mentions, AI, machine learning and
deep learning were already being explored before
the pandemic. However, during the pandemic,
many organizations began to truly realize the
capabilities of their network security system and
the role it could play beyond security.
" As organizations sought to keep employees
and customers safe and comply with COVID
guidelines, many realized the versatility of their
network security system and analytics - like
using facial recognition to verify mask compliance,
occupancy analytics to maintain social
distance requirements and access control systems
to enable contact tracing. "
Garms echoes that the pandemic increased
interest around solutions such as occupancy
monitoring and crowd detection, and AI enAI
video is
giving customers
additional value
in terms of
enhancing
security and
safety, reducing
operating costs,
and providing
actionable
intelligence.
- Jason Burrows,
IDIS America
Mainly designed for applications
like intersection
monitoring, automatic incident
detection and data-driven decision-making,
Bosch's Traffic
Detector distinguishes vehicles
in congested scenes by speed,
location and color. It also can
detect bikes and people.
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