Windows 10: IoT in Action: Developing intelligent solutions that change the world

Brink · Sep 5, 2018

The Internet of Things (IoT) is rapidly changing the world around us and transforming business for the better. Here at Microsoft we’re all in, committing $5 billion to IoT over the next four years. Windows is an essential part of this movement having powered both connected and non-connected devices for years – and it will be part of the new generation of intelligent devices that leverage the power of the cloud and comprise IoT.

As we will discuss throughout this year’s IoT in Action event series, companies need secure devices that can be quickly provisioned, easily managed and seamlessly connected to the cloud to support their overall business strategies. Let’s talk about some essential aspects to consider when developing and deploying your IoT solution.

Embrace the intelligent edge

Companies can build more productive IoT solutions with secure, intelligent devices at the edge. Our IoT offerings include what businesses need to get started, from operating systems to cloud services to advanced analytics to business applications. We’ve seen that connecting devices to the cloud has enabled a whole new world of scenarios, including making processes more efficient, reducing costs and enabling new business models to enhance your company’s competitiveness.

Using Windows IoT, customers find they can learn more and do more with smarter devices. Windows 10 IoT is integrated by design with Azure IoT so you can quickly harness the power of the intelligent edge. With integrated cloud connectivity, Azure IoT can provision and manage Windows 10 IoT Enterprise devices and provide advanced edge capabilities like containers, Artificial Intelligence (AI), Machine Learning (ML) and computer vision.

Build in intelligent security

As IoT-enabled devices become more sophisticated, so do the corresponding threats, which is why companies need to ensure they are incorporating the proper management and security into their IoT solutions.

Data should be protected throughout the entire process: when it’s at rest, in motion and during execution. To accomplish this, Windows 10 IoT provides the best endpoint security, building on the strengths of Windows Embedded while also offering new cloud and security enhancements that protect your IoT solutions from device to cloud.

Windows 10 security is built-in and always up-to-date for the supported lifetime of the device. But we’re not stopping there. To ensure devices everywhere – large and small – are secure, Microsoft has taken the 7 Properties of Highly Secured Devices and created the Azure Sphere solution. As the industry’s first holistic platform to provide security for microcontroller (MCU) devices, Azure Sphere combines cloud security, a secured OS, and a secured MCU to protect and power devices at the intelligent edge.

Partner to create and deploy solutions – faster

It takes months to build and deploy IoT solutions. With Windows 10 IoT, you can create solutions faster with a familiar app environment, tools and framework. Yet getting to market quickly also takes collaboration. Here at Microsoft, finding the right partners to swiftly build and scale solutions is a top priority.

8 West and Testify, for instance, are companies that have built IoT devices to save lives and help us get to our destinations faster and more comfortably. They serve as key examples of how Microsoft encourages partnerships and helps companies build and get repeatable IoT solutions to market faster.

Leverage Microsoft’s extensive partner ecosystem of device makers, developers, consultants and integrators to create the best IoT solution for your business need. The IoT in Action events will feature a digital matchmaking tool designed to help attendees identify and meet the partner or customer most suited to their immediate business need or opportunity.

Build IoT solutions with endless possibilities

IoT in Action is a one-day event designed to give you the chance to meet and collaborate with Microsoft’s customer and partner ecosystem to build and deploy new IoT solutions that can be used to change the world.

At this year’s event, we’re providing an increased number of hands-on technical sessions and in-depth learning around IoT security and the IoT opportunity. You’ll gain actionable insights, deepen partnerships and unlock the transformative potential of the intelligent edge and intelligent cloud.

Register today to reserve your seat

Register to learn more about the modalities and economics of transforming business through IoT. This event is ideal for anyone interested in learning more about transforming business through IoT and for technical leaders looking for practical guidance.

Register for an event near you:

Barcelona – Oct. 15

Santa Clara – Oct. 25

Taipei – Dec. 12-13

Shenzhen – Dec. 18

More locations and dates coming soon!

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Stay tuned for additional event dates and locations, and be sure to augment your IoT learnings with the IoT in Action webinar series.
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Source: IoT in Action: Developing intelligent solutions that change the world - Windows Experience Blog

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Brink · Sep 5, 2018

Do more at the intelligent edge with Windows 10 IoT

Microsoft announces the Windows AI Platform with Windows 10 IoT, Azure Machine Learning, and Azure IoT Edge to accelerate the intelligent edge.

In the world of connected things, devices are getting more powerful. Advances in silicon, memory, and cloud technologies including machine learning and artificial intelligence are enabling devices to do more at the edge. These advances will expand use cases in manufacturing, healthcare, agriculture, and many other industries where an intelligent edge will unlock the power of the intelligent cloud in new ways.
Today, we are excited to announce a Windows AI Platform-enabled solution to put this power in the hands of every developer. In the next update to Windows 10, the Windows AI Platform with Azure Machine Learning together with Azure IoT Edge will bring hardware-accelerated machine learning model evaluation on the edge. By using instruction set optimizations on modern CPUs, hardware acceleration on GPUs that support DirectX 12, and a driver model for purpose-built AI processors in the future, the Windows AI Platform will deliver performance and efficiency on the broadest range of form factors.
At Microsoft Build 2018, we are showcasing this through a powerful demonstration. Imagine a production line in a steel factory equipped with cameras that can capture every square inch of steel passing through the line. Using traditional image processing techniques, it’s difficult to process and analyze this information, derive insights, and take actions in a timely and affordable manner. Using the Windows AI Platform available on every Windows 10 device, the machine learning model on the device will process the images at the edge and can detect anomalies on the steel surface instantaneously. With Azure IoT Edge, the device can be configured to send alerts or take a corrective action. With Azure Machine Learning, the ML model will be retrained and redeployed easily and quickly across devices. Such a deployment will enable a truly intelligent edge with hardware that is already available in market on a Windows 10 device with Direct X12 GPU.

Windows AI Platform powering edge solution at a steel factory.

At EmbeddedWorld2018, Microsoft announced 10 years of security updates and an expanded offering of long-life silicon for Windows 10 IoT Core. In close collaboration with NXP, we have begun a private preview of Windows 10 IoT Core on NXP i.MX 6 and i.MX 7 processors. Today, we are announcing that Microsoft and NXP will release commercial support for IoT Core with i.MX6 and i.MX7 with the next release of IoT Core.

Windows 10 IoT platform continues to evolve with feature investments including the Windows AI Platform, expanded silicon offerings, and long-term support commitment. We are excited about the possibilities and want to see what you do with this. To learn more about developing with Windows 10 IoT, enroll in our Early Adopter Program at L: EEAPIOTPartner@microsoft.com.
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Source: Do more at the intelligent edge with Windows 10 IoT - Windows Experience Blog

See also: Unlocking the IoT promise - from the intelligent cloud to the intelligent edge - Internet of Things

Brink · Sep 5, 2018

Bringing intelligence to the edge with Google Cloud IoT Edge

The internet of things (IoT) presents us with enormous opportunities to positively affect the world around us—everything from increasing air quality to easing traffic to saving water and electricity. We can measure the world in new ways that can impact lives for the better.

But just as opportunities increase with IoT, so does data. IDC estimates that the total amount of data generated from connected devices will exceed 40 trillion gigabytes by 2025. This is where advanced data analytics and AI systems can help, to extract insights from all that data quickly and easily.

There are also many benefits to be gained from intelligent, real-time decision-making at the point where these devices connect to the network—what’s known as the “edge.” Manufacturing companies can detect anomalies in high-velocity assembly lines in real time. Retailers can receive alerts as soon as a shelved item is out of stock. Automotive companies can increase safety through intelligent technologies like collision avoidance, traffic routing, and eyes-off-the-road detection systems.

But real-time decision-making in IoT systems is still challenging due to cost, form factor limitations, latency, power consumption, and other considerations. We want to change that.

Bringing machine learning to the edge

Today, we’re announcing two new products aimed at helping customers develop and deploy intelligent connected devices at scale: Edge TPU, a new hardware chip, and Cloud IoT Edge, a software stack that extends Google Cloud’s powerful AI capability to gateways and connected devices. This lets you build and train ML models in the cloud, then run those models on the Cloud IoT Edge device through the power of the Edge TPU hardware accelerator.

Edge TPU is Google’s purpose-built ASIC chip designed to run TensorFlow Lite ML models at the edge. When designing Edge TPU, we were hyperfocused on optimizing for “performance per watt” and “performance per dollar” within a small footprint. Edge TPUs are designed to complement our Cloud TPU offering, so you can accelerate ML training in the cloud, then have lightning-fast ML inference at the edge. Your sensors become more than data collectors—they make local, real-time, intelligent decisions.

The Edge TPU chip, shown with a standard U.S. penny for reference

Cloud IoT Edge is the software that extends Google Cloud’s powerful data processing and machine learning capabilities to gateways, cameras, and end devices, making IoT applications smarter, more secure and more reliable. It lets you execute ML models trained in Google Cloud on the Edge TPU or on GPU- and CPU-based accelerators. Cloud IoT Edge can run on Android Things or Linux OS-based devices, and its key components are:

A runtime for gateway class devices, with at least one CPU, to locally store, translate, process, and derive intelligence from data at the edge, while seamlessly interoperating with the rest of Cloud IoT platform.

The Edge IoT Core runtime that more securely connects edge devices to the cloud, enabling software and firmware updates and managing the exchange of data with Cloud IoT Core.

The TensorFlow Lite-based Edge ML runtime that performs local ML inference using pre-trained models, significantly reducing latency and increasing the versatility of edge devices. Because the Edge ML runtime interfaces with TensorFlow Lite, it can execute ML inference on a CPU, GPU or an Edge TPU in a gateway class device, or in an end device such as a camera.

How machine learning at the edge benefits businesses

Businesses can benefit by bringing machine learning to the edge in several different ways.

Increased operational reliability

Because you can locally store, process, and derive intelligence from data at the edge, you can build robust IoT solutions on-premise, without worrying about intermittent cloud connectivity. This can be helpful for video and audio applications that require real-time processing, or use cases where devices can’t reliably connect to an external network or the internet.

Faster real-time predictions

By running on-device machine learning models, Cloud IoT Edge with Edge TPU provides significantly faster predictions for critical IoT applications than general-purpose IoT gateways—all while ensuring data privacy and confidentiality. Plus, Cloud IoT Edge and Edge TPU have been extensively tested to natively run open source reference models like MobileNet and Inception V3.

Increased security for devices and data

Cloud IoT Edge can process and analyze images, videos, gestures, acoustics, and motion locally on edge devices, instead of needing to send raw data to the cloud and then wait for a response. This local processing addresses certain industry-specific compliance needs and reduces data privacy risks. And Cloud IoT Edge uses a JSON Web Token to authenticate edge devices so that the private key never leaves the device.

Introducing the Edge TPU development kit

To jump-start development and testing with the Edge TPU, we’ve built a development kit. This kit includes a system on module (SOM) that combines Google’s Edge TPU, a NXP CPU, Wi-Fi, and Microchip’s secure element in a compact form factor. It’ll will be available to developers this October. To request early access to the Edge TPU development kit, sign up via this form.

The Edge TPU development kit—SOM (above) and base board (below)

We’re also working with our IoT ecosystem partners to develop intelligent devices that take advantage of Google Cloud IoT innovations at the edge. Semiconductor partners will create the SOM with the Edge TPU chip inside. Device makers will make industrial IoT gateways—like the kind used in factories, locomotives, oil rigs, and more—that include the SOM and Edge TPU.
Partners we're working with include:

Semiconductor companies: NXP, ARM

Gateway device makers: Accton, Harting, Hitachi Vantara, Nexcom, Nokia

Edge computing: ADLINK Technology, Kelvin, Olea Edge Analytics, Smart Catch, Trax

What our customers are saying

“Our Intelligent Vision Inspection solution enables us to deliver enhanced quality and efficiency in the factory operations of various LG manufacturing divisions. With Google Cloud AI, Google Cloud IoT Edge, and Edge TPU, combined with our conventional MES systems and years of experience, we believe Smart Factory will become increasingly more intelligent and connected,” says Shingyoon Hyun, the CTO of LG CNS. “With Intelligent Vision Inspection, we are eager to make a better working place, raise the quality of product, and save millions of dollars each year. Google Cloud AI and IoT technologies with LG CNS expertise make this possible.”

"Smart Parking enables our customers to deploy and manage frictionless parking services for both on-street and off-street situations. We are very excited about our ability to use Cloud IoT Edge and Edge TPU for building ML-enabled parking experiences for our customers,” says John Heard, CTO of Smart Parking. “At Smart Parking, our mission is to re-invent the parking experience for every solution user. The introduction of Cloud IoT Edge, Google Cloud IoT enables us to deliver on this promise in new ways within our SmartSpot gateway products.”

“At XEE, we’re working to make driving simpler, safer and more economical through our connected car platform,” explains Romain Crunelle, CTO at XEE. “Cloud IoT Edge and Edge TPU will help us to address use cases such as driving analysis, road condition analysis, and tire wear and tear in real time and in a much more cost efficient and reliable way. Enabling accelerated ML inference at the edge will enable the XEE platform to analyze images and radar data faster from the connected cars, detect potential driving hazards and alert drivers with real-time precision."

"Trax is helping retailers build a sound foundation for digital transformation,” says David Gottlieb, General Manager, Global Retail at Trax. “Cloud IoT Edge and Edge TPU will help address critical use cases such as improving on shelf availability (OSA), optimizing click-and-collect processes, and modernizing the shopping experience. This Google technology will enable accelerated machine learning at the edge—in-store images are captured and flowed through the Trax platform, where those digitized shelf images are analyzed at an increasingly faster rate providing retailers with the agility to both respond to issues in real time and to consistently delight shoppers.”

Getting started

Cloud IoT Edge, Edge TPU and Cloud IoT Core are opening up completely new possibilities with IoT. With powerful data processing and ML capabilities at the edge, devices such as robotic arms, wind turbines and smart cars can now act on the data from their sensors in real time and predict outcomes locally. For IoT, this is the future—and we can’t wait to see what you build with Google Cloud IoT.
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Source: Bringing intelligence to the edge with Cloud IoT

IoTGirl · Sep 5, 2018

Windows 10 Enterprise IoT

Hi David,

Embedded Mode can be set in Windows Enterprise and Windows Mobile versions. For target options please see the definitions at

https://www.microsoft.com/en-us/WindowsForBusiness/windows-iot From that page:

Windows 10 IoT Enterprise

Windows 10 IoT Enterprise is a full version of Windows 10 that delivers the enterprise manageability and security of Windows 10 Enterprise to IoT solutions. It is designed for powerful industry devices used in retail, manufacturing, healthcare, and other
industries. Windows 10 IoT Enterprise runs crucial line of business applications and performs specialized functions in a secure, reliable and streamlined way to support mission-critical devices.

LEARN MORE ABOUT MANAGING AND UPDATING WINDOWS 10 IOT

*Note that Windows 10 IoT Enterprise is a binary equivalent to Windows 10 Enterprise

Windows 10 IoT Mobile

Windows 10 IoT Mobile brings the full functionality of Windows 10 Mobile to the Internet of Things. That includes instantaneous application access, native support for barcode scanning, and other peripherals, as well as enhanced productivity for a variety
of mobile scenarios.

The Mobile Enterprise editions also offer capabilities such as ARM support, multiple user profiles, and advanced lockdown to enable scenarios across retail, healthcare, manufacturing and other vertical industries.

LEARN MORE ABOUT WINDOWS 10 IOT MOBILE

*Note that Windows 10 IoT Mobile is a binary equivalent to Windows 10 Mobile Enterprise

Windows 10 IoT Core

Windows 10 IoT Core is optimized for small-footprint, low-cost IoT devices that bring intelligence to the edge. It is designed to power purpose-built devices like gateways that enable IoT solutions. Windows 10 IoT Core also brings enterprise-grade security,
manageability, and connectivity of Windows to a new class of devices.

Below are the steps to bring your IoT Core powered devices to life:

Click to
Download IoT Core

Learn more about how to create applications and build proof of concepts and leverage step-by-step instructions, sample
code, documentation, community projects and more…

Ready to sell your product?
Commercialize your device or
Find your local distributor.

Actually, IoT Core does not have a menu, that is the default application that comes installed on the sample image from Microsoft. When you create your device you would replace that default experience with the purpose driven application for your solution.
As for securing an IoT device, it really depends on its purpose and environment but for information on IoT Core you can find documentation at WindowsOnDevices.com. Specifically

https://developer.microsoft.com/en-us/windows/iot/docs/buildingsecuredevices

Sincerely,

Windows 10: IoT in Action: Developing intelligent solutions that change the world

IoT in Action: Developing intelligent solutions that change the world

IoT in Action: Developing intelligent solutions that change the world

IoT in Action: Developing intelligent solutions that change the world

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