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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