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.

In this episode of CodeStories, Seth Juarez joins local Cloud Advocate, Christopher Maneu, on a tour of the Microsoft office in Paris, his remote office,  and a scuba diving club.

Learn how Christopher has automated a logbook with IoT Retrofitting https://aka.ms/CodeStories/compressor.

Get the latest articles, documentation, and events from Microsoft.Source—the curated monthly developer community newsletter – sign up here: https://aka.ms/CodeStories/Microsoft.Source

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. 😉

Last March, Google took the unveiled Coral, a collection of hardware development kits and accessories intended to bolster AI development at the edge. It

launched in select regions in beta before graduating to a wider release in 36 countries last October.

Ahead of the 2020 Consumer Electronics Show, Google announced new additions to the Coral family that’ll become available later in the year.

First up is the Coral Accelerator Module, a multi-chip package that encapsulates Google’s Edge tensor processing unit (TPU). The module exposes both PCIe and USB interfaces and can easily integrate into custom PCB designs, and the tech giant says it’s been working closely with manufacturing partner Murata ready the module for shipment in Q1 or Q2 2020.

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.

Join James Penney, CTO, Device Authority, (aka.ms/iotshow/deviceauthority) to learn how Device Authority’s KeyScaler platform can be used to securely onboard IoT devices to the Azure IoT Hub Device Provisioning Service in seconds without human intervention.

The KeyScaler platform solves one of the biggest challenges of IoT: onboarding of devices at scale and managing the owner-controlled identities and credentials across the different services.

Device Authority’s KeyScaler platform provides policy-driven automated PKI management for any IoT device to connect it to any Certificate Authority.

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.