EN- VMS Crash Course presentations
Automation & intelligence presentation
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Monitor the flow of people and vehicles
Articles in this issue
Video management crash course
Before we start
Automation & intelligence
A new reality
Slide Number 5
Expected growth of video surveillance traffic between 2017 and 2022
Average attention span for concentration oriented tasks
Slide Number 8
From unstructured to structured data
From data to actionable information
How the market evolved in the last few years
Why it works today
Beyond video data
Metadata explained
Metadata types in a VMS
Analytics architectures
Architecture types
Edge-based video analytics
Server-based video analytics
Server-based video analytics (1)
Edge-based vs. server-based
Enhance your video surveillance
Analytics output
Video analytics categories
Slide Number 25
Perform smart investigations
Cut down on investigation time
Slide Number 28
Pro-actively detect threats
Protect your perimeter
Detecting intruders in low light situations
Detect objects left behind or removed
Facial recognition
Identify people
Facial recognition: things to consider
Variables
Slide Number 37
Slide Number 38
Improve your operations
Gather insights and understand your environment
Monitor the flow of people and vehicles
Automate camera maintenance
Slide Number 43
View video analytics data on visual reports and live dashboards
Real-life deployments
Retail
Buildings & industrial
Airport
Power & utilities
Beyond automation
Slide Number 51
Machine learning
Machine learning (1)
Improving video analytics
Machine learning for image recognition
Deep learning for image recognition
How those technologies improve security systems
Results in numbers: people counting
A look into the future
Moving towards predictive information
Wrap-up
Up next: Module 5
Slide Number 66
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