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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)


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
  • Deploying the video analytics solution

The presentation will include a working example of how video analytics can be deployed using a BeagleBone AI-64 board, featuring a TDA4VM processor from webinar partner 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

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