Azure Maps Mobility Services make the life of an IoT developer easier and they contribute towards a great end user experience.

Watch this episode to see Outi Nyman, Senior Program Manager, Azure Maps, step through the APIs for these services.

Designed to support developers creating smart city applications that move people and things from one place to another, they help create applications that decrease traffic congestion and increase air quality.

The Mobility Service APIs for Azure Maps are brought to life in partnership with Moovit, Inc. Moovit combines information from public transit operators and authorities with live information from its user community to offer a real-time picture of public transit services, including stops, route information, and travel time estimations.

Geofencing has many practical applications. A geofence is a virtual boundary defining an area on a map. Using tools in Azure Maps, Jim demos how to test if a coordinate is inside or outside the Microsoft Redmond campus boundary.

It can be used to send an alert if an expensive piece of machinery leaves a construction site unexpectedly or to send a warning if a worker enters an unsafe location within a factory.

Jim Bennett shows us how to code geofencing applications with Visual Studio, Python, and Azure Maps.

Jim explains why and how to manage a buffer around your geofence boundary. (Hint: GPS is not that accurate!) He also demos how to set a notification using a web hook and an Azure Logic App when a person or item enters or leaves a geofence area.

Next steps:

Step through the tutorial: Set up a geofence by using Azure Maps

Visit Jim’s blog on geofencing: are you where you should be?

Mahesh Yadav, Software Engineer on the Intelligent Edge team, joins the IoT Show to unbox the Microsoft Vision AI DevKit (aka.ms/iotshow/visionaidevkit), a smart camera for the intelligent edge.

The developer kit uses the Qualcomm’s Vision Intelligence 300 Platform which uniquely runs machine learning with hardware acceleration delivering results in milliseconds which is perfect for connected car or connected factory scenarios where you need low latency as well as support offline scenarios.

In this episode, you will see how easy it is to bring up AI on the edge with Azure IoT Edge and Azure Machine Learning.

The DevKit includes a sample AI model that identifies 183 objects including people, laptops, chairs and more. The highlight of the show is a real-time camera demo that asserts that both Mahesh and Olivier really are people.

And it’s always good when an AI affirms your personhood. 😉

Learn how VISEO (https://aka.ms/iotshow/viseo) is analyzing large amounts of data (1 GB to 1 TB) collected from drones and other vehicles flying over 32,000 km of railway tracks in France for Altametris, a subsidiary of SNCF Réseau.

VISEO’s Vincent Thavonekham, Head of Smart Factory, and Igor Leontiev, Chief Cloud Solution Architect, show three demos in this amazing episode. Vincent and Igor demonstrate how VISEO processes 42 billion laser dots and other data collected from 450 km of railroad tracks from Paris to Lyon.

Using VISEO’s custom data model and Azure IoT Edge, data at the edge is now prepared for upload to the Cloud in days instead of weeks. From the Cloud, Altametris analyzes the data to track and maintain its railroad assets remotely reducing expenses and increasing safety.

Watch Paul de Carlo, Microsoft Cloud Developer Advocate, step through his Intelligent Edge Hands-on Lab (https://aka.ms/iotshow/intelligentedge — which is open source and available for you to try)

During this lab, Paul deploys an IoT Edge module to an NVIDIA Jetson Nano development board to allow for detection of objects from the live video stream of a Webcam. In this episode, the webcam is scanning the floor at Microsoft Ignite 2019 and detects people, backpacks, chairs and more, in real time.

The same setup can detect objects in YouTube video streams, RTSP streams, or HoloLens Mixed Reality Capture and stream up to 32 videos simultaneously. Object Detection is accomplished using YOLOv3-tiny with Darknet.

Learn why Paul and Olivier are never going to give you up, never going to let you down during this memorable episode.

Did you want to find out how to get started with Azure Sphere?

Watch Mike Hall and Olivier Bloch bring up a Seeed Azure Sphere MT3620 Development Kit using the Azure Sphere SDK and Visual Studio 2019. Azure Sphere is a secured, high-level application platform with built-in communication and security features for internet-connected devices.

Learn more.

An Ugly Sweaters are a great tradition but how can we make them even better (https://aka.ms/IoTShow/UglySweater) is an IoT-enabled Ugly Sweater.

In this episode of the IoT Show, Olivier Bloch is joined by Jim Bennett, a Senior Cloud Advocate at Microsoft. Jim has built an Ugly Sweater using Azure IoT Central, Microsoft’s IoT app platform, and a Raspberry Pi Zero. Dive into Jim’s Python code and learn how Azure IoT Central is able to connect IoT devices to the cloud faster than any other platform. See how Jim uses IoT Central’s extensibility APIs to control his Ugly Sweater via Twitter. This code is on GitHub for you to play with and extend. Get started today!

Learn how Microsoft is simplifying IoT with the evolution of Azure IoT Central.

Step through a live demo of the new IoT Central retail application template with Avneet Singh, Senior Program Manager, IoT Solutions team.

Learn how this IoT app platform keeps devices connected with built-in device management.

Understand IoT Central makes it easy to integrate into business applications to deliver insights to business decision makers.

Watch this IoT Show to learn why Azure Cosmos DB (aka.ms/CosmosDB-IoT-Lab), Microsoft’s globally distributed multi-model database service, is frequently used in IoT scenarios.

Cosmos DB can ingest semi-structured data at extremely high rates and serve indexed queries back out with extremely low latency.

Andrew Liu, Program Manager, Cosmos DB team, steps through two popular IoT use cases and demos the four things IoT developers “must know” about Azure Cosmos DB. You will receive instructions on how to get started with a hands-on lab.

Resources

XTO Energy , a subsidiary of ExxonMobil, taps into IoT