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End-to-End Cloud-Native Computer Vision Application on the Edge


SPEAKERS

Ajeet Raina

Developer Relations Manager, Redis Labs

Megh Makwana

Solutions Architect , NVIDIA

Today, video analytics on the edge has become one of the biggest application areas be it for vehicle plate recognition, facial recognition, people counting, and more.

In this talk, we will explore how can we build, optimize and deploy end-to-end video analytics applications on Jetson Xavier. Starting from training the model using Transfer Learning Toolkit, to optimizing the model using TensorRT compiler and integrating the TensorRT engine into DeepStream SDK.

The Q&A section of this session will start at 11:00 PDT / 19:00 BST

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