Computer Vision from the Edge to the Cloud Done Easy

Workshop Stage 1
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Flo Pachinger
Cisco DevNet, Developer Advocate

Florian (or Flo) is a Developer Advocate at Cisco DevNet focusing on IoT and Network Programmability. With a software and networking background he is working since a couple of years on many IoT projects mostly in Germany. DevNet leads the Developer Community within and outside of Cisco and covers information for APIs, DevOps, applications, automation and infrastructure management.

Do you want to detect the license plate of a car? Or if people are wearing their masks? Nowadays, these are typical examples of object detection and image classification which are easy in theory, but what about the actual deployment? There are many options from the Edge to the Cloud how you could do that. Let me show you the simplest and do even a comparison when it comes to the platform question.
I will use Cloud-managed Cisco Meraki IP cameras together with SaaS computer vision platforms, for example from AWS, Azure and GCP, to showcase the simple deployment, possible integrations with APIs & MQTT and its whole architecture as well as actual outcomes.