Security Sales & Integration May 2021 - 34

Special Report

control solutions. Although touchless access
control technologies have existed for a number
of years, the core technology powering them has
had some inherent flaws, explains Frederick. For
example, traditional biometric identification has
used statistical probability calculations to determine if a subject interacting with a device is the
same as a particular record in its database.
" This approach can be accurate; however, it
does not allow for changes in the reference record [enrollment]. In face authentication, things
like gaining weight or losing weight or growing a
beard or shaving a beard have historically caused
problems with authentication making the systems
difficult to use, " he says. " By introducing deep
neural networks the reference records can be updated over time, which significantly increases the
tolerance for changing appearances over time. "

COURTESY ISS

AI Awareness
& Adoption

An algorithm for detecting
people moving outside the
safe zone simultaneously
activates three specially optimized neural networks, objects
tracker and violation decision
module if a detected person is
not wearing a helmet.

Creating products that adjust to real-world
scenarios like changing appearances allows
touchless access control technologies to become more widely accepted as the user experience - reliability and ease of use - is greatly
improved, Frederick adds.
While the pandemic has created more security
awareness around the world, the United States
in particular has been responsive to new service
offerings, says Ryan Schonfeld, founder and
CEO of El Segundo, Calif.-based RAS Watch.
As a provider of high-tech GSOC services, the
company has seen changes being implemented
across all different kinds of organizations, especially in healthcare and education sectors.
" We've seen a shift towards more SaaS solutions that work remotely, such as remote access
control, and secure infrastructures across multiple sites, such as doctors meeting with their
patients through Zoom-like infrastructure, "
Schonfeld says. " We will look back and notice that the pandemic pushed AI into more
mainstream acceptance, as organizations had

34 Security Sales & Integration MAY 2021

SS2105 pp32-35 AI.indd 34

to quickly find robust, innovative and effective
ways to secure their employees and assets. "
Kalluri says one simply cannot discount the
impact that COVID-19 has had on the market
- especially for security systems integrators.
The pandemic has disrupted so much of our
lives, but for security integrators, the disruption
has been around the normal cycle of deployments and the uncertainty influencing the buyer's cycle. Yet, at the same time, the market for
emerging technologies continued to grow over
the past year, driven forward by an increasing
focus on technology development - primarily
around driving more intelligence-based video
surveillance to customers. Advances in AI have
added more value to analytics solutions, which
have traditionally been plagued with an inability to deliver true, real-time intelligence.
" Trading simple rules-based approaches for
more deep learning-enabled functionality realizes the promise of this technology and better
meets end-user expectations as they increasingly need to manage by exception, " Kalluri says.
By tradition, Kalluri adds, as social anxiety
rises the security industry performs better as
companies prepare to protect assets and people
from any unrest. He projects a robust market
in 2021 as society emerges from the pandemic
and life returns to some semblance of normal.
" Additionally, companies thinking more strategically based on lessons learned will realize
the benefits of remote management, enhanced
intelligence capabilities and new ways of doing
business, " he says, " and all of these things are
supported by the advances in AI and security
intelligence gathering. "

AI on the Horizon
When Figueiredo takes a long view of the physical security ecosystem, he sees two industries
in particular where AI technologies could make
major impacts. The first industry is manufacturing facilities. He explains that labor safety and
compliance with safety requirements are a priority since the outcome of people's work is what
determines the productivity and quality of the
final product. The AI video analysis systems help
ensure a high level of personnel control and minimize the number of hazardous situations.
Contemporary neural network-based video
analysis systems ensure compliance with labor
regulations and health standards, monitor people's physical well-being and control the wearing
of personal protective equipment, such as safety
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Security Sales & Integration May 2021

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