Windows 10: Evolution of Windows IoT: The foundation for your intelligent edge

Brink · Apr 3, 2019

It began more than 20 years ago, in the days before sensors monitored soil health, before smart shelves managed product levels, before artificial intelligence and IoT-enabled cameras reduced violent crime.

Before the term “Internet of Things” had been coined, Microsoft Windows was there—but not just on our PCs. It was quietly running on the smallest, embedded devices—the precursors to the intelligent, connected devices of today.

In fact, Windows IoT is more than two decades in the making, and now, Windows IoT is helping businesses of all sizes achieve digital transformation and delight customers with secure, modern experiences that bridge the physical and digital worlds.

Read on to discover how Windows IoT has evolved into one of the most trusted IoT platforms—and learn about the groundbreaking capabilities that are coming soon.

Windows IoT Core: a history of innovation

Since the 1990s, we’ve been innovating our popular Windows OS to meet the needs of device manufacturers, providing a familiar, cost-effective, and secure platform. We were already optimizing Windows for small, single-purpose embedded devices ranging from toys to telephones through our Windows CE and Windows NT Embedded products. Over the years, we have continued to build on this groundbreaking work.

Back when Windows IoT Core was introduced, it was the first time you could run the Windows OS on tiny computers, such as the Raspberry Pi. Designed for device makers, our initial focus was on development kits and building a community of Windows IoT developers. From there, we expanded to meet the needs of commercial customers who wanted long-term support, including a high-quality development environment.

Today, Windows 10 IoT Core is a mature product that enables manufacturers to go to market quickly with small-footprint devices that are secure, low cost, and built for the intelligent edge. Windows IoT Core provides a royalty-free OS for prototyping, developing and testing IoT devices.

Providing security and maintenance for a multitude of devices in the field can be extremely challenging, so one of the biggest additions we’ve made recently is Windows 10 IoT Core Services. Windows 10 IoT Core Services ensures long-term OS support and services for managing device updates and device health. Benefits include reduced operating costs with over-the air-updates for OS, apps, and drivers—plus 10 years of OS system support and enhanced security.

Additionally, with the release of Windows 10 IoT Core on NXP i.MX 6, 7 and now 8M series of application processors, we have support for industrial grade silicon. Meanwhile, we continue to work behind the scenes on products that haven’t been announced yet.

The evolution of Windows IoT Enterprise

For customers wanting the full power of Windows 10, Windows 10 IoT Enterprise provides a locked down, full version of Windows 10 that delivers enterprise manageability and security to IoT solutions across multiple industries. It shares all the benefits of the worldwide Windows ecosystem, including the same familiar application compatibility, development and management tools as client PCs and laptops.

Licensed for fixed-purpose, smart devices, Windows 10 IoT Enterprise features advanced capabilities that make it much easier to configure and lock down mission critical devices. This means that developers can spend more time creating outstanding solutions, without worrying about the nuts and bolts.

Like Windows 10 IoT Core Services, Windows 10 IoT Enterprise includes long-term support. With the critical nature of security, being able to get security updates over the course of ten years without having significant changes in the OS is of enormous value.

Both Windows 10 IoT Core and Windows 10 IoT Enterprise offer easy integration with the Microsoft Azure platform, simplifying scale and device management, as well as the implementation of advanced features like hardware-assisted machine learning inferencing and containers.

Bringing it all together with Azure IoT Edge

Azure IoT Edge extends cloud intelligence and analytics to edge devices, providing a secure and easy way for developers to move cloud and custom workloads to the edge and tap the power of Windows 10 IoT. Azure IoT Edge enables seamless deployment of AI and advanced analytics capabilities, and the Azure IoT Device Agent for Windows makes it easy for operators to remotely configure, update and monitor edge devices.

IoT Edge modules, implemented as Docker-compatible containers, enables management of device updates and the deployment of business logic at the edge. Multiple modules can be configured to communicate with each other, and custom modules can be developed to provide insights offline and at the edge. Again, 10 years of ongoing support, security and patch management add to the ROI as well as customer confidence.

The future of Windows IoT

In late February, we announced the availability of Windows Server IoT 2019, which can securely handle the largest edge computing workloads. Windows Server IoT 2019 brings the power of high-availability and high-performance storage and networking to the edge, addressing latency and connectivity requirements and enabling customers to maintain data on-premises while securely storing and analyzing large amounts of data.

Additionally, we’ve got some thrilling product advancements lined up over the course of the next 12 to 18 months, focusing on end-to-end security, simplicity and cost-effectiveness. We are working with OEMs to bring existing devices onto a new, modern OS—and helping them connect to the cloud. Microsoft is making substantial investments in cloud connectivity and using the power of Windows to accelerate our customers’ journeys to the cloud and the intelligent edge.

From a developer perspective, we are focused on efficiency and making Windows a great place for machine learning through innovations like AI at the edgeWinML allows developers to harness the capabilities of any Windows 10 device to use pre-trained machine learning models—both custom and off-the-shelf—making it immensely powerful and ideally suited to intelligent edge devices. WinML accelerates the evaluation of deep learning models on Direct X12-capable devices. It also evaluates on local hardware, enabling low latency and high performance for quick results.

A great example of the benefits WinML brings to IoT solutions is IoT-PREDICT. This predictive maintenance solution from ActionPoint runs on Windows 10 IoT Enterprise and uses machine learning, as well as data analytics and advanced capabilities, to help manufacturers reduce equipment downtime, save money and drive operational efficiency.

Windows Embedded and now Windows IoT have provided device builders and developers innovative products that offer security, simplicity and flexibility, backed-up with commercial grade support, including 10 years of support with our Long Term Servicing Channel. Windows IoT is accelerating digital transformation and enabling customers to build secure, connected products and modern experiences that delight customers.

We’re proud of how we have helped reshape the business landscape through IoT and the intelligent edge. And we’re thrilled about the road ahead. Stay tuned to see how we continue to lead global IoT innovation.

Meanwhile, be sure to tune into the IoT in Action on-demand webinar, Windows IoT: Business Transformation, to discover how Windows 10 IoT can help you get up and running quickly. You’ll learn how, with a platform that spans cloud, OS and devices, Microsoft IoT technology is uniquely positioned to simplify the IoT journey.

You can also watch the Windows IoT in Manufacturing webinar to hear how our partners are empowering device manufacturers to build secure, connected enterprise and consumer devices with Windows 10 IoT. Watch and discover how you can create trusted, connected solutions that improve business and customer experiences – regardless of company size, technical expertise, budget, or industry.
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Source: Evolution of Windows IoT: The foundation for your intelligent edge | Windows Experience Blog

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Brink · Apr 3, 2019

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 · Apr 3, 2019

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

Brink · Apr 3, 2019

Latest Windows IoT innovations for intelligent edge devices

At Microsoft, we’re focused on simplifying the Internet of Things (IoT) by making it easier to quickly build secure, smart devices that leverage the intelligent cloud while harnessing the full power of the intelligent edge, including artificial intelligence (AI), machine learning, and robotics.

This week at Embedded World in Nuremberg, Germany, we’re announcing new products and services for Windows IoT to help make this real for device manufacturers, solution developers, and customers.

Here are some highlights of what we’re unveiling at Embedded World.

Windows Server IoT 2019 is here

Windows 10 IoT provides a family of operating systems for device builders to develop solutions, from compact low-power devices to servers and everything in between. This includes Windows 10 IoT Core for small-footprint, smart-edge devices and Windows 10 IoT Enterprise, which brings the full power of Windows to IoT devices.

Today, we’re pleased to announce the release of Windows Server IoT 2019 to securely handle the largest edge workloads with fixed-function, server-class devices. With full binary compatibility to Windows Server 2019, device manufacturers can build server-class IoT edge devices that enable high-capacity storage and compute scenarios and seamlessly scale between cloud and the edge. For example, imagine network videorecorders or high-end gateways, connecting thousands or even tens of thousands of sensors or devices, then storing, analyzing, and acting on these data streams in near-real-time with reduced latency and bandwidth consumption through utilizing the power of the intelligent edge.

Easier innovation at the edge

New capabilities for Windows 10 IoT are oriented to making developers’ jobs easier:

Azure IoT Edge for Windows—Developers can easily bring cloud workloads to the edge so that they can harness the full power of the Windows 10 IoT platform. They can scale IoT solutions across the cloud or edge with a managed service that delivers cloud intelligence locally by deploying and running AI, Azure services, and custom logic directly on cross-platform IoT devices. Customers benefit by deploying cloud applications and services on the edge, while ensuring they meet latency, bandwidth, and data privacy requirements. With these capabilities, it’s easy to see how devices get smarter.

Azure IoT Device Agent for Windows—Customers across industries, whether in an industrial setting or retail environment, are looking for ways to remotely provision and manage their IoT devices. Direct device access may not always be feasible when IoT devices are out in the field or on the factory floor. Microsoft Azure IoT Device Agent enables operators to configure, monitor, and manage their devices remotely from their Azure dashboard.

Robot Operating System for Windows IoT—Now developers can build and deploy commercial-grade Robot Operating System (ROS) solutions on Windows, making robots easier to develop, more aware of their surroundings, and safer to be around. Bringing ROS to Windows IoT enables rich AI and intelligent edge capabilities, including hardware-accelerated Windows machine learning, computer vision, Azure Cognitive Services, and turnkey connection to Azure IoT cloud services. In addition, customers can benefit from the enterprise security, manageability, and supportability Windows IoT brings to robotic and industrial systems.

“Microsoft has been a valued addition to the ROS-I Consortium,” says Matthew M. Robinson of the ROS-Industrial Consortium Americas. “Our membership has expressed significant interest in developments that will bring the advanced capabilities of ROS to industrial applications on the Windows platform and enable richer integration with other Microsoft tools that the Consortium membership have come to leverage.”

Extending device and silicon support

Microsoft continues to partner with silicon providers to ensure a broad range of hardware support for Windows 10 IoT.

Strengthening partnership with NXP
We are pleased to continue our partnership with NXP and are announcing a public preview for Windows 10 IoT Core with built-in Azure connectivity, running on the i.MX 8M and i.MX 8M Mini applications processors. The i.MX 8M family of applications processors will enable secure, power-optimized devices for the intelligent edge that give developers a choice of Linux or Windows IoT. Developers can quickly build new intelligent devices using the familiar and powerful Windows development environment and commercialize them using our powerful Azure IoT platform as well as Azure Cognitive Services. In addition, NXP has worked with Microsoft to enable Azure IoT Edge on Linux for the i.MX 8M and i.MX 8M Mini applications processors. Azure IoT Edge allows customers to deploy and manage containerized cloud workloads running on i.MX8 devices from their Azure IoT dashboard.

“We are pleased to expand our partnership with Microsoft to bring Azure IoT Edge to our high-performance, multicore i.MX 8M applications processors platform,” says Geoff Lees, senior vice president of microcontrollers at NXP. “With this addition, NXP customers will have access to industry-leading edge computing solutions, from i.MX 6 to i.MX 7 and i.MX 8/8M across Windows 10 IoT Core and Linux operating systems, for advanced industrial and IoT applications, harnessing the full power of Azure in their intelligent edge products.”

Qualcomm Snapdragon support for always-on, always-connected IoT devices
Our partnership with Qualcomm and board providers enables developers to harness the power of the Snapdragon family of processors with Windows 10 IoT Enterprise. Customers gain always-on connectivity and the power management capabilities of Snapdragon, with the full power of Windows 10 IoT Enterprise.

“The combination of Qualcomm Technologies’ cutting-edge platforms and Windows 10 IoT Enterprise can enable always-connected, always-on intelligent edge devices to help companies of all sizes and industries deliver on the promise of IoT. We’re excited to support the work of companies like USI, with its SOM 850, and Thundercomm, with its TurboX AI Kit, as they bring their products to commercialization,” said Jeffery Torrance, vice president, business development, Qualcomm Technologies, Inc.

Customers from across industries are simplifying digital transformation with Windows IoT

Building and deploying IoT solutions can be complex, expensive, and time-consuming. Customers and partners are looking for ways to take connected devices to market fast, capitalize on smart capabilities that drive new applications and services, and ensure device security. Action Point, an IT services company headquartered in Ireland, used Windows 10 IoT Enterprise to create a predictive maintenance solution for its manufacturing customers called IoT-PREDICT. The Action Point solution uses AI, machine learning, and data analytics to identify and resolve potential issues. Manufacturers benefit by reducing downtime and costs and increasing efficiency.

“Because IoT-PREDICT is built on Windows 10 IoT Enterprise, it’s very easy for customers to deploy,” says John Savage, ActionPoint co-founder and chief technology officer. “They’re essentially just installing a Windows 10 IoT device on their network, with the same familiar management and security framework they already use to manage their other Windows-based devices.”

IDEX Fire and Safety provides equipment that helps firefighters and emergency medical technicians perform lifesaving duties. The company needed to ensure that equipment would always be available, without risk of malfunctioning or going offline. IDEX Fire and Safety chose Windows 10 IoT Core and the Microsoft Azure Government cloud to develop the Captium platform to connect all in-truck systems. The IoT solution provides telemetry, health reporting, and predictive maintenance that keeps emergency vehicles operationally ready 24×7, 365 days a year.

“Windows IoT Core enabled us to leverage our existing skills and provides the security and trust we needed to develop a demanding application that helps ensure first responders’ equipment is always operationally ready,” says Jeffrey Zook, marketing manager, IDEX Fire and Safety. “Windows IoT Core, combined with Azure, provided IDEX with the end-to-end platform to build our solution.”

Learn more about how Windows IoT is powering what’s next, securely

A fundamental challenge of digital transformation is protecting IoT devices from vulnerabilities. At Embedded World, we’re not only introducing new Windows 10 IoT products and services—we’re also showcasing how Microsoft stands behind your IoT devices throughout their lifespans, including 10-year support for security updates via the Windows Long-Term Servicing Channel.

Come and see real-world Windows IoT-based solutions—robotics, securely connected factories, remote field service and predictive maintenance, among others—on display at the Microsoft booth #422 in Hall 4 at Embedded World. We’d love to talk about the possibilities our IoT platform can bring to your company.

Learn more about Windows 10 IoT.
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Source: Microsoft announces latest Windows IoT innovations for intelligent edge devices at Embedded World | Windows Experience Blog

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Windows 10: Evolution of Windows IoT: The foundation for your intelligent edge

Evolution of Windows IoT: The foundation for your intelligent edge

Evolution of Windows IoT: The foundation for your intelligent edge

Evolution of Windows IoT: The foundation for your intelligent edge

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