Olivier Bloch

Hi @Juan:I have responded to your question on Tech Community at https://techcommunity.microsoft.com/t5/internet-of-things/perceptmobile-azure-percept-obstacle-avoidance-lego-car/bc-p/2404671#M389

@Guilherme Soares: You can integrate TSI and Azure Digital Twins today following this guide: https://docs.microsoft.com/en-us/azure/digital-twins/how-to-integrate-time-series-insights
A more streamlined integration is in the backlog but not sure when it will be implemented just yet. Let us know if you get what you need with the doc page

Hi @Marek:
It's great to see the interest. Other features took the priority precedence, but the team definitively intends to get Device Streams out the door. We should be able to share a timeline in a couple month from now. Stay tuned

@tony124:There is a sample that shows the implementation on an ST Micro Nucleo board, but it should be easily adapted to run on a Raspberry Pi (for the MCU part)
https://github.com/Azure/azure-sphere-samples/tree/master/Samples/DeviceToCloud/ExternalMcuLowPower

@mergisi: In this example the devices are connected over Ethernet, so no specific cabling required

@RipinA: Hi RipinA,
There are several existing solutions for more accurate geolocation (especially indoors) that can also be used in combination, such as Wifi location, Bluetooth, RFID, UWB. Any of these solutions can be used on the device and eventually you could have the back-end analyse each data point from geolocation sensors carried by workers and extrapolate more accurate location. You can also consider adding data from other sensors (proximity, cameras...) that are dispatched in the work environment (e.g. a combination of Wifi location + monitoring cameras + ML models could do the trick).

Hi @Ashley Alex, this video is already 2 years old (which makes me realize I should archive it :)) and since then the tooling has indeed been integrated into VS Code and the Azure CLI IoT extension. That said there are still functionalities that this tool offer that are not part of the mainstream tooling and the repo is still maintained.

Sorry for that. Actually we had a delay on the blog post publication. It will be live on 5/26th

Thanks @jonmikeli
stay tuned for some updates about IoT plug and play preview in the next few weeks

Hi @girishmeena24
Here are some pointers for you:
https://aka.ms/WhatIsDigitalTwinsAbout

Hi @dd1403
The course is free to go through on eDx. You pay $99 for the capstone project and the verified certificate. You will find all the information on the program's page https://aka.ms/mppiot, Just click Enroll Now to get started.
When it comes to Azure account/subscription, you can go through the class using a free trial account.
And for the hardware necessary to finish some of the classes/capstone project, you can see details on the eDx page https://www.edx.org/course/microsoft-professional-capstone-internet-of-things-2

Hey @hgrewal
I recommend you look into the Azure IoT solution accelerator for connected factory as it addresses OPC-UA integration with Azure IoT: https://www.azureiotsolutions.com/Accelerators
Also we are working on the integration of IoT Edge in IoT Central, which will allow to leverage the work we have shipped for supporting OPC-UA on Azure IoT Edge to connect your OPC-UA infrastructure directly into IoT Central