Archive for the ‘IoT’ Category

Microsoft IoT Camp for developers

Wednesday, January 24th, 2018

Amazing day of learning Azure IoT with Lwin Maung, Eric Franz and Jeff Rand at Microsoft, Edina.  There was an incredible volume of knowledge shared today.  efranz

GitHub Microsoft Intel IoT Camp 

GitHub Microsoft Intel IoT Camp latest 

Containing source code, slides, queries, installations and more.



Setup for the NUC


Lab instruction, tutorial


Logging on to NUC over WI-FI and running Node-RED.

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Using Node-Red to build, configure and deploy temperature sensing on Ardunio with Azure IoT Hub.

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Confirm data being send to Azure.

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Reading the temperature data with npm iothub-explorer.

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Connect database, execute SQL script from Visual Studio Code IDE.

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Select for other starter kits.


STM32L4 Discovery Kit IoT Node Azure seminar

Friday, January 19th, 2018

What an incredible ST Microelectronics seminar last month, we had a full day of lessons, labs and a STM32L4 Discovery kit to keep for personal development.  Wayne, Wade and Colleagues trained us with 5 labs with topics on sensors, NFC, Azure IoT, mobile and more.  STM32 Discovery kit is packed with features !   

Here are some prerequisite installations and literature to start.


Getting Started with the STM32L4 Azure Seminar


Wade Chin and colleague showing us all the amazing features of the discovery board.


Wayne Salata shared some history and inspiring vision.  Now I know ST stands for SGS-Thomson !


This is a massive board of features compared to Arduino robotic kits and those used in class.  As if it is not exciting enough, I am performing the lab exercise on a Windows VM with a MacBook Pro.  Everything works great until lab 4.  A reboot of my virtual machine was necessary to fix my USB connectivity.

Keil MDK-ARM v5.24a, uvision software (IDE) was an impressive professional tool for developing and managing the binaries.


Thanks to Wade for all the prepared labs and Azure accounts.  We found instant gratifications with the results below.  We were able to obtain near real-time temperature & humidity data, accelerometer information.

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Wade trained us to configure Azure IoT edge to ingest, process and display data across multiple devices and accounts.