Deep learning and AI video analytics will allow for faster investigations by enabling search and filtering of video footage based on specific criteria. Edge-based solutions can provide instant alerts when threats are detected and allow for cloud-based verification of incidents. Customers will prioritize cyber-secure vendors who follow best practices and standards for security and quickly roll out updates. Cloud technology offers remote monitoring opportunities that have increased due to the pandemic.

1. VIDEO
SURVEILLANCE TECHNOLOGY TRENDS
4
TO EXPECT IN 2021

2. When used in video surveillance, Deep
Learning could speed up investigations
by allowing search & filter based on
specific criteria, rule-based alerts
based on behavior or particular
objects, etc.
AI Video Analytics Leveraging Deep
Learning to Business Intelligence
www.tyronesystems.com

3. An edge-based solution can provide
instant alerts when detecting a
threat, and an operator can verify it
through a cloud-based application to
respond.
Beyond "edge" to Increase Speed
and Efficiency
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4. Customers will prioritize cyber-
responsible security vendors who
follow the best practices and meet all
the required industry standards.
These vendors would also have to
remain alert about zero-day exploits
and roll out patches as soon as
vulnerabilities are discovered.
Cybersecurity a Primary
Concern for Video
Surveillance
www.tyronesystems.com

5. Cloud offers various opportunities for
businesses of all sizes, and its benefits
have only been heightened by the
COVID-19 pandemic
Such as remote monitoring of vacant
spaces or providing additional coverage
where less staff is required.
Cloud Technology as IoT Makes
More Inroads
www.tyronesystems.com

6. Our Social
Pages
Explore Tyrone unmatched portfolio of
Surveillance Solutions that supports
Real-time Analysis
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