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 - 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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