How about designing and deploying intelligent machine-learned models onto resource constrained platforms and small single-board computers, like Raspberry Pi, Arduino, and micro:bit? How cool would that be?

This is exactly what the open source Embedded Learning Library (ELL) project is about. The deployed models run locally, without requiring a network connection and without relying on servers in the cloud. ELL is an early preview of the embedded AI and machine learning technologies developed at Microsoft Research.

Chris Lovett from Microsoft Research gives us a fantastic demo of the project in this episode of the IoT Show.

Get the ELL code on GitHub: https://github.com/microsoft/ell

Customizing the Web UI has never been easier with the recently released in code walkthroughs. Follow along in this video as Olivier and the team customize an out of the box solution remote monitoring solution and make it our own.

There’s not much more that I can add to the description of this video:

Oh no! Pizza cat is having a hard time knowing if his pizzas are being delivered purr-fectly. Customers have been complaining about cold pizzas being delivered to the wrong houses! Come see how Pizza Cat uses a Remote Monitoring solution to save his Pizza company.

Learn more about Azure IoT solution accelerators: https://www.azureiotsolutions.com/Accelerators

Create a Free Account (Azure): https://aka.ms/aft-iot

In this episode of the IoT Show, Lyrana Hughes shows how the core spatial intelligence capabilities of Azure Digital Twins power the Smart Hotel 360 demo and shares where you can access the demo content on GitHub so you can start building your own solution.

In the fifth episode of this series, Dmitry Lyalin and Suz Hinton continue covering Windows IoT Core fundamentals using a custom built smart IoT device prototype. This time they’ll be walking through using Azure IoT Hub’s Device Methods to control the device remotely. You’ll learn how to remotely capture photos from a smart device and store them with a few lines of C# and Azure Blob Storage connected to Azure IoT Hub.

Resources

In the fourth episode of this series, Dmirty and Suz connect the smart home device to the outside world for monitoring purposes. The temperature readings from the climate sensor can be pushed to Azure IoT Hub for consumption by cloud based software, such as Azure IoT Central.

A walkthrough of both these Azure services will be conducted, featuring both code and high level architectural explanations. Some example scenarios will be covered to give you an overview of the practical applications of monitoring telemetry from smart devices.

Resources:

  1. Smart Home Device source code on GitHub
  2. Azure IoT Hub Documentation
  3. Azure IoT Central
  4. Create a Free Account (Azure): https://aka.ms/c9-azurefree

In the first episode of this series, Dmitry and his guest Suz Hinton introduce Windows IoT Core as a way of building applications for IoT solutions. We cover some foundational topics such as how Windows IoT works, and what it is designed for. We’ll also discuss how Windows IoT applications are developed, and how they differ from regular Universal Windows Platform applications.

Featuring a brief introduction to breadboards and the Raspberry Pi, we set the scene for writing your first Windows IoT Core UWP application, detailed in the second episode of this series.

You can find all the episodes in this series as they go live in our YouTube playlist.

Resources:

  1. Windows IoT Core Overview
  2. How breadboards work
  3. How to install Windows IoT Core on your Raspberry Pi

Is .NET ready for the Internet of Things? Carl and Richard talk to Bryan Costanich about the current state of IoT and how his startup Wilderness Labs is building next-generation hardware that runs .NET! Bryan talks about how microcontrollers have gotten much more powerful today, but the programming stacks are still back in the 80s.

The expectations of customers today is cloud integration, auto-updating and mobile apps – which is expensive and time-consuming to write in C++! Enter Meadow, programmable with .NET Standard 2. Join the Kickstarter to get the first release of hardware!

Press the play button below to listen here or visit the show page at DataDriven.tv

 

Microsoft recently announced the public preview of Azure Digital Twins, a new platform for comprehensive digital models and spatially aware solutions that can be applied to any physical environment. Lyrana Hughes joins Olivier Bloch on the IoT Show to demonstrate how to use Azure Digital Twins to connect people, places, and things, and to build IoT solutions with spatial intelligence.

Learn more about Azure Digital Twins: https://azure.microsoft.com/blog/announcing-the-public-preview-of-azure-digital-twins/

Try out our quickstart guide: https://docs.microsoft.com/azure/digital-twins/quickstart-view-occupancy-dotnet