Build & Deploy to edge IoT devices in minutes

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By Jeremy Chapman and Microsoft Mechanics. Discovered by Player FM and our community — copyright is owned by the publisher, not Player FM, and audio is streamed directly from their servers. Hit the Subscribe button to track updates in Player FM, or paste the feed URL into other podcast apps.

Azure Percept is a new zero-to-low-code platform that includes sensory hardware accelerators, AI models, and templates to help you build and deploy secured, intelligent AI workloads and solutions to edge IoT devices. Host Jeremy Chapman joins George Moore, Azure Edge Lead Engineer, for an introduction on how to build intelligent solutions on the Edge quickly and easily.

Azure Percept Vision:

Optically perceive an event in the real world. Sensory data from cameras perform a broad array of everyday tasks.

Azure Percept Audio:

Enable custom wake words and commands, and get a response using real time analytics.

Templates and pre-built AI models:

Get started with no code. Go from prototype to implementation with ease.

Custom AI models:

Write your own AI models and business logic for specific scenarios. Once turned on, they’re instantly connected and ready to go.

► QUICK LINKS:

00:00 - Introduction

01:18 - Azure Percept solutions

02:23 - AI enabled hardware accelerators

03:29 - Azure Percept Vision

05:22 - Azure Percept Audio

06:21 - Demo: Deploy models to the Edge with Percept

08:16 - How to build custom AI models

09:57 - How to deploy models at scale

10:57 - Ongoing management

11:40 - Wrap Up

► Link References:

Access an example model as an open-source notebook at https://aka.ms/VolumetricAI

Get the Azure Percept DevKit to start prototyping with samples and guides at https://aka.ms/getazurepercept

Whether you’re a citizen developer or advanced developer, you can try out our tutorials at https://aka.ms/azureperceptsamples

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379 episodes