This training explains what AI-based video analytics are about, deals with common misconceptions, and covers a range of factors that influence the end result.
Format: Instructor-led classroom
Length: 1 Day
Language: English
Location: Warsaw, Poland
1. Basics of video analytics and AI History, how video analytics are developed and trained, and common misconceptions.
2. Types of alarms The four different types of alarms a video analytics application typically provides.
3. Real-time versus non-real-time applications How the purpose determines whether a real-time or non-real-time application is needed.
4. Image processing The importance of great image processing, which has a direct effect on the outcome of the video analytics application.
5. Illumination Different types of light and how they affect image usability and the outcome of the video analytics application.
6. Configuration and design considerations
How to place and configure the camera to create the best possible conditions for the video analytics application.
To see all occasions for this course please go to the calendar in LMS or contact directly Bogumił Szymanek (bogumil.szymanek@axis.com) or Jarek Sapko (jaroslaw.sapko@axis.com).
After completing the course, participants should understand:
– the strengths and weaknesses of AI-based video analytics
– different types of alarms
– whether a real-time or non-real-time application is required
– the importance of great image processing
– the role illumination plays
– how to place and configure the camera to get a good result
TBD
System integrators and installers in the network video surveillance industry.
Bogumił Szymanek (bogumil.szymanek@axis.com)
Sales Engineer
Jarek Sapko (jaroslaw.sapko@axis.com)
Sales Engineer