How the Edge AI Box Can Accelerate AI Adoption for Surveillance and Security
                     How the Edge AI Box Can 
Accelerate AI Adoption for 
Surveillance and Security
Working “in AI”, having this amazing technology at your 
fingertips and spending your days discussing customer 
requirements and use cases across verticals and geographies, 
can skew one’s perception of how “smart” the world really is. 
AI is far along in automotive, mobile, big data, medical 
imaging and others, but there are still sectors that are just on 
the verge of their AI transformation, perhaps only recently 
having undergone a digital one. In my experience, it is, 
perhaps surprisingly, the case with surveillance for physical 
.security applications
How the Edge AI Box Can Accelerate AI Adoption for Surveillance and Security
Working “in AI”, having this amazing technology at your 
fingertips and spending your days discussing customer 
requirements and use cases across verticals and geographies, 
can skew one’s perception of how “smart” the world really is. 
AI is far along in automotive, mobile, big data, medical 
imaging and others, but there are still sectors that are just on 
the verge of their AI transformation, perhaps only recently 
having undergone a digital one. In my experience, it is, 
perhaps surprisingly, the case with surveillance for physical 
.security applications
How the Edge AI Box Can Accelerate AI Adoption for Surveillance and Security
Smart cameras and Intelligent Video Analytics (IVA, or 
VCA – Video Content Analytics) are being adopted, but 
more slowly that one would expect. A November 2020 
North America-focused survey by Genetec found that 
only 23% of physical security environments have video 
analytics deployed. It also found that cloud adoption 
(mostly for storage, but also for video analytics) has 
been slow and that Video-Surveillance-as-a-Service 
(VSaaS, which usually incorporates IVA) use is very low 
 .(only about 2% have it deployed)
How the Edge AI Box Can 
Accelerate AI Adoption for 
Surveillance and Security
Another 2020 survey by IFSEC Global and IDIS (this 
time more focused on the UK and outside of North 
America) found that, while the vast majority of 
security professionals recognize the value of video 
analytics for security operations, over half (54%) are 
not using AI and deep learning in their surveillance 
systems. Also interesting is that of those that are 
!using AI, only 9% use edge-based analytics
How the Edge AI Box Can Accelerate AI Adoption for Surveillance and Security
It seems that AI is starting to come in and users are 
beginning to discover the added benefits of smart 
analytics. But, for the most part, the small retail chain 
owner, the building management company and the 
security department for a medium-sized enterprise are 
still using a multitude of basic security cameras, relying 
on enlarged human staff for screen monitoring and 
.legwork. And that is probably the best-case scenario
How the Edge AI Box Can Accelerate AI Adoption for Surveillance and Security
What is stymieing fast adoption? The top 3 reasons for 
not using video analytics have been cited by the security 
professionals surveyed by IFSEC-IDIS as: cost, data 
security and privacy and uncertainty about RoI (cited in 
their top 3 reasons by 85%, 52% and 50%, respectively). 
These understandable concerns have a lot to do with how 
IVA is deployed, rather than with the AI itself. Integrated 
into cloud-based or on-premise VMS (Video Management 
.Systems), it just doesn’t make sense for everyone
How the Edge AI Box Can Accelerate AI Adoption for Surveillance and Security
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How the Edge AI Box Can Accelerate AI Adoption for Sur
veillance and Security 
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