Build & Deploy to edge IoT devices in minutes

published 5 months ago by Microsoft Mechanics

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 Get the Azure Percept DevKit to start prototyping with samples and guides at Whether you’re a citizen developer or advanced developer, you can try out our tutorials at ► Unfamiliar with Microsoft Mechanics? We are Microsoft’s official video series for IT. You can watch and share valuable content and demos of current and upcoming tech from the people who build it at Microsoft. Subscribe to our YouTube: Join us on the Microsoft Tech Community: Watch or listen via podcast here: ► Keep getting this insider knowledge, join us on social: Follow us on Twitter: Follow us on LinkedIn: Follow us on Facebook:

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