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


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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End-to-End Cloud-Native Computer Vision Application on the Edge
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Workshop: DIY - Build Your Own Private LTE Network with Magma on Arm

Allaukik Abhishek

Principal Engineer / Arm

Patrik Melander

Chairman, CEO and co-founder / Connect 5G

Private cellular networks are ubiquitous and their scale spans from home connectivity to a medium (tens of) devices to enterprise/industry 4.0, managing many thousands of units. The opening up of CBRS spectrum is making it easier for community networ...

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Workshop: Simplified Computer Vision Development for Real-World Embedded Devices

Aurelien Lequertier

Lead User Success Engineer / Edge Impulse

Performing computer vision on embedded Arm Cortex-M-based devices is not an easy task. In this hands-on workshop edge Impulse is teaming up with Arduino to show you how it has simplified end-to-end computer vision application development on microcont...

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Workshop: Get Started with Cloud-Native Automotive Software Development


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This workshop, delivered by Arm and AWS, presents a guided tutorial for getting started with cloud-native technologies for development of software-defined vehicles. Leveraging architectural parity between Arm-based AWS Graviton EC2 and edge devices,...

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