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Video Analytics at the Edge

1 hour session (All Time Zones)
Presenter: Dr Rahul Dubey

Doulos Member Technical Staff

Asia and Europe

Time: 10-11am (BST) 11am-12pm (CEST) 2.30-3.30pm (IST)


Americas

Time: 10-11am (PDT) 11am-12pm (MDT) 12-1pm (CDT) 1-2pm (EDT)


Webinar Overview:

With AI models based on a convolutional neural network (CNN) enabling valuable insights from video or image data, and with the availability of low-power neural network accelerator hardware - the exciting opportunities for using vision at the edge are now thriving!


This webinar will explore:

  •  Applications that use video analytics at the edge 
  •  Deep learning models for inferencing
  •  Composition of a typical video pipeline 
  •  Preprocessing, inference and post-processing requirements for video analytics
  •  Realizing video analytics using Python, C++ API’s or using a Linux Gstreamer based pipeline
  •  Optimizing models for embedded hardware with neural network accelerators
  •  Deploying the video analytics solution

The presentation will include a working example of how video analytics can be deployed using an Aquila AM69 board from Toradex, featuring an AM69 processor from Texas Instruments.


Dr Rahul Dubey

Dr Rahul Dubey - Doulos Member Technical Staff will be presenting this training webinar, which will consist of a one-hour session (see below for details) and be interactive with Q&A participation from attendees.


Attendance is free of charge

If you have any queries, please contact webinars@doulos.com


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