Intel and Arm Share IoT Vision to Securely Connect ‘Any Device to Any Cloud’

lorie wigle

By Lorie Wigle

The Internet of Things (IoT) is transitioning from first proof-of-concept deployments into a new growth phase that is expected, according to industry analysts, to deploy 1 trillion devices by 2035.1 What is driving these lofty projections are the incredible business benefits that will be achieved with data-driven IoT initiatives such as edge computing, artificial intelligence (AI), predictive maintenance and autonomous systems. The more data that is collected, the more valuable the data becomes. However, this model may not be realized unless the industry can collaborate on more open and scalable methods to securely provision devices and their data to the cloud.

To answer these challenges, Intel is teaming up with Arm* to provide solutions to securely onboard2 both Intel and Arm IoT devices to any application or cloud framework.

First, let me walk you through the traditional manual onboarding process for IoT devices, which has multiple challenges. It typically takes more than 20 minutes per device and involves coordination among installation technicians, IT network/security operations and operational technology teams. The device identity and network access credentials are either painstakingly preloaded into the device at manufacturing or configured in the field from a standard image using insecure human processes. Compounding the security issues are the proliferation of cloud-specific provisioning methods without a consistent hardware-protected device identity model. For IoT to scale to a trillion devices in less than two decades, this process must be faster, safer and more flexible.

Now, the solution: Last October, Intel® Secure Device Onboard was launched as the first solution that enabled a “late binding” approach to provisioning, where customers could dynamically discover their target cloud platform for provisioning seconds after the device is powered on in the field. The collaboration with Arm aims to extend this capability from Intel devices to include the Arm devices that commonly are deployed together by customers. This strategic collaboration of two major ecosystems is designed to provide the industry with a more flexible provisioning method that can be natively enabled in devices.

So how does it work? Watch the prototype video below that shows how Intel and Arm devices can be credentialed and provisioned in seconds to join any cloud application framework.

As a result, customers should be able to choose their onboarding systems of record without being locked into a single cloud provider’s provisioning method or a single device architecture. Flexibility can be built in before the device is purchased to onboard into any cloud ecosystem. Device management systems such as Pelion*, cloud/on-premise IoT platforms and connected partner ecosystems all benefit from increased variety of devices, lower cost and faster deployment. Device suppliers can simplify manufacturing to a single SKU that can be provisioned with customer-specific credentials in the field rather than in the factory, dramatically reducing cost while decreasing time to market.

“Intel and Arm are simplifying one of IoT’s most complex and challenging barriers with regard to streamlining the manufacturing and security deployment workflows for IoT. This is an ROI win for the customer, who will be able to deploy both Intel- and Arm-based devices at a lower cost and with less friction between IT and OT, while at the same time retaining flexibility over their data and cloud partner choice until the deployment phase,” said Michela Menting, director, ABI Research.

Learn more about the solution at IoT Solution World Congress’s smart building customer case study presentation and view the joint demo that is nominated for top TestBed award. You may also attend the technical presentation at Arm TechCon that will showcase the Pelion Device Management zero-touch experience. Intel and Arm are seeking customer and ecosystem feedback on the prototypes and expect to engage pilot customers later this year. Contact iotonboarding@intel.com for more information on the pilot programs.

Intel’s collaboration with Arm allows us to progress a joint vision of “any device, any cloud” to span multiple device architectures. As we enter this accelerated growth phase for IoT, we will continue to collaborate with technology vendors to provide customers the protections they need. On behalf of the entire Intel team, I thank our industry partners and customers for their ongoing support.

Lorie Wigle is vice president of Software and Services Group and general manager of Internet of Things Security at Intel Corporation.

1Trillion devices by 2035- source ARM white paper https://community.arm.com/cfs-file/__key/telligent-evolution-components-attachments/01-1996-00-00-00-01-30-09/Arm-_2D00_-The-route-to-a-trillion-devices-_2D00_-June-2017.pdf

2From out-of-box to securely streaming data to an IoT Platform

Intel technologies’ features and benefits depend on system configuration and may require enabled hardware, software or service activation. Performance varies depending on system configuration. No computer system can be absolutely secure. Check with your system manufacturer or retailer or learn more at https://www.intel.com/content/www/us/en/internet-of-things/secure-device-onboard.html.

Intel, the Intel logo, and Intel® Secure Device Onboard are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

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New Intel Vision Accelerator Solutions Speed Deep Learning and Artificial Intelligence on Edge Devices

iot vision 2x1What’s New: Today, Intel unveiled its family of Intel® Vision Accelerator Design Products targeted at artificial intelligence (AI) inference and analytics performance on edge devices, where data originates and is acted upon. The new acceleration solutions come in two forms: one that features an array of Intel® Movidius™ vision processors and one built on the high-performance Intel® Arria® 10 FPGA. The accelerator solutions build on the OpenVINO™ software toolkit that provides developers with improved neural network performance on a variety of Intel products and helps them further unlock cost-effective, real-time image analysis and intelligence within their Internet of Things (IoT) devices.

“Until recently, businesses have been struggling to implement deep learning technology. For transportation, smart cities, healthcare, retail and manufacturing industries, it takes specialized expertise, a broad range of form factors and scalable solutions to make this happen. Intel’s Vision Accelerator Design Products now offer businesses choice and flexibility to easily and affordably accelerate AI at the edge to drive real-time insights.”
–Jonathan Ballon, Intel vice president and general manager, Internet of Things Group

Why This Is Important: The need for intelligence on edge devices has never been greater. As deep learning approaches rapidly replace more traditional computer vision techniques, businesses can unlock rich data from digital video. With Intel Vision Accelerator Design Products, businesses can implement vision-based AI systems to collect and analyze data right on edge devices for real-time decision-making. Advanced edge computing capabilities help cut costs, drive new revenue streams and improve services.

What This Delivers: Combined with Intel Vision products such as Intel CPUs with integrated graphics, these new edge accelerator cards allow businesses the choice and flexibility of price, power and performance to meet specific requirements from camera to cloud. Intel’s Vision Accelerator Design Products will build upon growing industry adoption for the OpenVINO toolkit:

  • Smart, Safe Cities: With the OpenVINO toolkit, stadium security provider AxxonSoft* used existing installed-base hardware to achieve 9.6 times the performance on standard Intel® Core™ i7 processors and 3.1 times the performance on Intel® Xeon® Scalable processors in order to ensure the safety of 2 million visitors to the FIFA 2018 World Cup.*

Who Uses This: Leading companies such as Dell*, Honeywell* and QNAP* are planning products based on Intel Vision Accelerator Designs. Additional partners and customers, from equipment builders, solution developers and cloud service providers support these products.

More Context: Intel’s Vision Accelerator Design Products Customer QuotesVideo | Infographic

How This Works: Intel Vision Accelerator Design Products work by offloading AI inference workloads to purpose-built accelerator cards that feature either an array of Intel Movidius Vision Processing Units, or a high-performance Intel Arria 10 FPGA. Deep learning inference accelerators scale to the needs of businesses using Intel Vision solutions, whether they are adopting deep learning AI applications in the data center, in on-premise servers or inside edge devices. With the OpenVINO toolkit, developers can easily extend their investment in deep learning inference applications on Intel CPUs and integrated GPUs to these new accelerator designs, saving time and money.

The Small Print:

1Automated product quality data collected by Yumei using JWIPC® model IX7, ruggedized, fan-less edge compute node/industrial PC running an Intel® Core™ i7 CPU with integrated on die GPU and OpenVINO SDK. 16GB of system memory, connected to a 5MP POE Basler* Camera model acA 1920-40gc. Together these components, along with the Intel developed computer vision and deep learning algorithms, provide Yumei factory workers information on product defects near real-time (within 100 milliseconds). Sample size >100,000 production units collected over 6 months in 2018.

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Alibaba and Intel Transforming Data-Centric Computing from Hyperscale Data Centers to the Edge

data centric 2x1What’s New: At The Computing Conference 2018 hosted by Alibaba Group* in Hangzhou, China, Intel and Alibaba revealed how their deep collaboration is driving the creation of revolutionary technologies that power the era of data-centric computing – from hyperscale data centers to the edge, to accelerate the deployments of new applications such as autonomous vehicles and Internet of Things (IoT).

“Alibaba’s highly innovative data-centric computing infrastructure supported by Intel technology enables real-time insight for customers from the cloud to the edge. Our close collaboration with Alibaba from silicon to software to market adoption enables customers to benefit from a broad set of workload-optimized solutions.”
– Navin Shenoy, Intel executive vice president and general manager of the Data Center Group

What the Headlines are: Intel and Alibaba Group are:

  • Launching of a Joint Edge Computing Platform to accelerate edge computing development
  • Establishing the Apsara Stack Industry Alliance targeting on-premises enterprise cloud environments
  • Deploying latest Intel technology in Alibaba to prepare for the 11/11 shopping festival
  • Bringing volumetric content to the Olympic Games Tokyo 2020 via OBS Cloud
  • Accelerating the commercialization intelligent roads

“We are thrilled to have Intel as our long-term strategic partner, and are excited to expand our collaboration across a wide array of areas from edge computing to hybrid cloud, Internet of Things and smart mobility,” said Simon Hu, senior vice president of Alibaba Group and president of Alibaba Cloud. “By combining Intel’s leading technology services and Alibaba’s experience in driving digital transformation in China and the rest of Asia, we are confident that our clients worldwide will benefit from the technology innovation that comes from this partnership.”

How They Accelerate on the Edge: Intel and Alibaba Cloud launched a Joint Edge Computing Platform that allows enterprises to develop customizable device-to-cloud IoT solutions for different edge computing scenarios, including industrial manufacturing, smart building and smart community, among others. The Joint Edge Computing Platform is an open architecture that integrates Intel software, hardware and artificial intelligence (AI) technologies with Alibaba Cloud’s latest IoT products. The platform utilizes computer vision and AI to convert data at the edge into business insights. The Joint Edge Computing Platform was recently deployed in Chongqing Refine-Yumei Die Casting Co., Ltd. (Yumei) factories and was able to increase defect detection speed five times from manual detection to automatic detection1.

hybrid cloud 2x1How They Drive Hybrid Cloud Solutions: Intel and Alibaba Cloud established the Apsara Stack Industry Alliance, which focuses on building an ecosystem of hybrid cloud solutions for Alibaba Cloud’s Apsara Stack. Optimized for Intel® Xeon® Scalable processors, the Apsara Stack provides large- and medium-sized businesses with on-premises hybrid cloud services that function the same as hyperscale cloud computing and big data services provided by Alibaba public cloud. This alliance will also enable small- and medium-sized businesses (SMBs) to access technologies, infrastructure and security on par with that of large corporations, while offering them a path to greater levels of automation, self-service capabilities, cost efficiencies and governance.

How They Power eCommerce: In preparation for the upcoming 11/11 “Singles Day” global shopping festival – which generated in excess of 168.2 billion yuan ($25 billion) in spending during the 2017 celebration – Alibaba plans to trial the next-generation Intel Xeon Scalable processors and upcoming Intel® Optane® DC persistent memory with Alibaba’s Tair workload. This workload is a key value data access and caching storage system developed by Alibaba and broadly deployed in many of Alibaba’s core applications such as Taobao and Tmall. Intel’s compute, memory and storage solutions are optimized for Alibaba’s highly interactive and data-intensive applications. These applications require the infrastructure to keep large amounts of hot accessible data in the memory cache to achieve the desired throughput (queries per second) in order to deliver smooth and responsive user experiences, especially during peak hours of the 11/11 shopping festival.

How They Accelerate the Olympics’ Digital Transformation: Also announced was a partnership aimed at advancing the digital transformation of the Olympics and delivering volumetric content over the OBS Cloud for the first time at the Olympic Games Tokyo 2020. As worldwide Olympic partners, Intel and Alibaba Cloud, will collaborate with OBS to explore a more efficient and reliable delivery pipeline of immersive media to RHBs worldwide that will improve the fan experience and bring them closer to the action via Intel’s volumetric and virtual reality technologies. This showcases the depth of Intel’s end-to-end capabilities, including the most advanced Intel Xeon Scalable processors powering OBS Cloud, compute power to process high volumes of data, and technology to create and deliver immersive media.

How They Accelerate the Commercialization of Intelligent Roads: Intel officially became one of Alibaba AliOS’ first strategic partners of the intelligent transportation initiative, aiming to support the construction of intelligent road traffic network and build a digital and intelligent transportation system to realize vehicle-road synergy. Intel and Alibaba will jointly explore v2x usage model with respect to 5G communication and edge computing based on the Intel Network Edge Virtualization Software Development Kit (NEV SDK).

More Context: Intel and Alibaba Cloud Deliver Joint Computing Platform for AI Inference at the Edge

1Automated product quality data collected by YuMei using JWIPC® model IX7, ruggedized, fan-less edge compute node/industrial PC running an Intel® Core™ i7 CPU with integrated on die GPU and OpenVINO SDK. 16GB of system memory, connected to a 5MP POE Basler* Camera model acA 1920-40gc. Together these components, along with the Intel developed computer vision and deep learning algorithms, provide YuMei factory workers information on product defects near real-time (within 100 milliseconds). Sample size >100,000 production units collected over 6 months in 2018.

The post Alibaba and Intel Transforming Data-Centric Computing from Hyperscale Data Centers to the Edge appeared first on Intel Newsroom.

Smart Cities Technologies Give Back 125 Hours to Citizens Every Year

The record for the world’s worst traffic jam belongs to Beijing’s gridlock. For 12 days in August 2010, cars could not escape 62 miles of freeway. This example, alongside the U.N.’s prediction that by 2030 two-thirds of the world’s population will reside in densely packed megacities, reinforces a real urgency to alleviate the pressures and impact of overcrowding.

The concept of “smart cities,” which employs Internet of Things (IoT) technologies such as connected sensors, meters and lights to collect and analyze data to improve public infrastructure and services, holds the promise to dramatically change the way citizens live, work and get around. But is there a way to tangibly measure these benefits?

Yes, there is. An Intel-sponsored study by Juniper Research estimates that smart cities have the potential to “give back” a remarkable 125 hours to every resident every year. Additionally, the study ranks the top 20 smart cities worldwide across four key areas: mobility, health care, public safety and productivity, and reveals how these cities deliver positive outcomes for increased time savings and productivity, increases in health and overall quality of life, and a safer environment.

More: “Smart Cities – What’s in It for Citizens?” (Report) | Internet of Things News

“Analysts tend to focus on the technical underpinnings of building a data-centric world,” says Windsor Holden, head of forecasting and consultancy at Juniper Research. “We can’t overlook the importance of the real human benefits that smart cities have. Connected communities, municipal services and processes have a powerful impact on a citizen’s quality of life.”

Smart Cities Worldwide

The study found that Chicago, London, New York, San Francisco and Singapore, are the world’s leading cities integrating IoT technologies and connected services. These cities stand out because of their cohesive efforts to connect city municipalities, businesses and their citizens to address a growing need to improve “livability” – specifically around mobility (San Francisco and Singapore), public safety (Chicago, New York and Singapore), health care (London and Singapore), and productivity (Chicago, London and Singapore) – as they transition to a smarter, more connected environment.

“Cities are engines of economic activity, and we as an industry need to make them more resilient and responsive,” says Sameer Sharma, global general manager of smart cities IoT solutions at Intel. “Partnerships between city planners, government officials, private companies, OEMs, software developers and startups are creating smart city ecosystems that will empower citizens while reducing our carbon footprint.”

Smart Cities Are a Reality Today

Many of the IoT technologies identified in the study – including mobility, health and public safety solutions – are already being deployed around the world.

Mobility: The average peak-time vehicle speed in cities is a dismal 4 mph. This gridlock causes drivers to lose up to 70 hours per year. The study determined an integrated IoT-enabled infrastructure of intelligent traffic systems, safer roads, directed parking, frictionless toll and parking payments can give back up to 60 hours a year to drivers otherwise stuck in their cars.

Health: The study found that smart cities with connected digital health services can play a significant role in creating efficiencies – saving citizens almost 10 hours a year – and even potential lifesaving benefits for both patients and caregivers. Examples such as wearable apps monitor blood pressure, pain tolerance and temperature to help people manage chronic conditions without hospitalization. “Telemedicine” enables contagious flu sufferers to avoid doctor’s offices with an examination via high-speed video link from the comfort of their home.

Public Safety: Improvements in public safety can deliver substantial time benefits for smart city citizens – nearly 35 hours per year, according to the study. For instance, in Portland, Oregon, (No. 12 in the Juniper Smart Cities Index) and San Diego (No. 14), Intel joined GE* and AT&T* to deploy the Digital Infrastructure with Current, powered by GE’s CityIQ™*. This enables the cityscape to generate valuable data. Street lights transform into connected digital infrastructure beacons, monitoring the pulse of city life, which enable a range of local departments to be safer, cleaner and more efficient.

Smart cities may be still in the early stages, but based on the activities the study highlights, which are being rapidly implemented worldwide, there’s every reason to believe these examples are just the beginning of what’s possible.

smart cities infographic 2x1» Click for full infographic

The post Smart Cities Technologies Give Back 125 Hours to Citizens Every Year appeared first on Intel Newsroom.

Reducing the Complexity of IoT Development

Jonathan LuseBy Jonathan Luse

We have one message for IoT developers and integrators at this year’s Embedded World 2018: We are doing everything we can to help you prototype and develop your ideas faster and get your solutions to market sooner.

The Intel Internet of Things Group has been talking to a lot of developers and partners in the IoT ecosystem – and listening carefully. The result is we’ve completely revamped our roadmaps for developer tools and IoT solution resources to create a more seamless experience across the ecosystem.

Here is what we mean:

New Ingredients

Intel will showcase Intel® FPGAs and Movidius™ Myriad™ 2 VPUs, components that provide power-efficient acceleration to critical edge applications. Our Exor Smart Factory 4.0 demo models an entire working industrial system using Intel FPGA devices for device control in edge-compatible formats. Myriad 2 gives developers immediate access to its advanced vision processing core, while allowing them to develop proprietary capabilities that provide true differentiation.

Richer Tools, Kits and SDKs

We have consolidated our tool offerings to streamline the development path from prototype to production by integrating new features and capabilities into Intel® System Studio 2018. This includes 400 sensors, enhanced debugger workflows, more libraries and code samples, improved data compression, and optimizations for small matrix multiplication. This new tool is a cross-platform system and IoT development tool suite to help simplify system bring-up, boost performance and power efficiency, and strengthen system reliability.

We worked with Arduino* to streamline commercial application prototypes based on Intel® architecture using Arduino Create* and added Intel-based hardware capabilities into its development suite. For professional capabilities, there is a bridge from Arduino Create directly into Intel System Studio 2018 for a seamless development experience, leveraging advanced functionality provided by Intel’s tools.

You can also accelerate designs with the UP Squared* Grove* IoT Development Kit. Easy to use and versatile, the kit offers a rapid prototyping platform for applications, including media encode/decode, signal and data processing, and machine learning.

IoT-Dev-Journey-Hero-graphic
» Click for full image

Accelerating Development with Intel IoT RFP-Ready Kits

Request for proposal (RFP)-ready kits bundle hardware, middleware, software, sensors and support. These kits contain the core essentials an integrator needs to prototype quickly. They just require any unique differentiating features.

RFP-ready kits are focused on specific use cases, like visual retail, smart buildings, security surveillance and remote health care. The Advantech* RFP Kit, a solar panel that demonstrates Advantech’s UTX-3117 gateway combined with Wind River® Helix Device Cloud and Pulsar™ Linux*. This enables next-generation systems to process high volumes of data with low latency, high bandwidth and low power consumption.

Intel IoT Market-Ready Solutions

For fast deployments that are end user-ready, there are built-to-scale Market-Ready Solutions (MRS). Through our ecosystem partners, we are providing an extensive portfolio of proven, integrated and already-deployed MRSs. We are showing the new Dell* V5 Solution, a self-powered, portable artificial intelligence security solution that provides ongoing video monitoring and advanced analytics. The Hayward Police Department in California rapidly deployed these units to significantly reduce the number of downtown thefts and other downtown street crimes by over 60 percent.1

Connect with Intel at Embedded World 2018

Join us at the Intel booth at Embedded World (#338, Hall 1, Nuremberg Exhibition Center, Nuremberg, Germany) and learn how Intel will help drive innovation for the IoT through new hardware, software and tools for developers. Visit our Intel Developer Zone for IoT or the IoT Solutions Alliance for other resources and to get a jump-start on your next project.

Jonathan Luse is general manager of IoT Planning and Product Line Management at Intel Corporation. 

1Source: V5 Systems Case Study, City of Hayward

The post Reducing the Complexity of IoT Development appeared first on Intel Newsroom.

Intel Offers Innovative Approach to IoT Scaling and Security

» Click for full infographic

At the IoT Solutions World Congress, Intel addressed the challenges facing the Internet of Things (IoT) market today, and made a critical announcement designed to empower the industry to make the most of the tremendous opportunities ahead.

While earlier reports claimed that we will see 50 billion devices by 2020, the reality is we are nowhere close to reaching those numbers. In fact, recent research reports are far more tempered and predict closer to 30 billion devices in the same timeframe. The reason for the scaled-down outlook is because of the real-time issues of scaling deployments and security.

Today, provisioning and management of devices is a huge challenge, as IoT devices are added manually. It involves coordination between installation technicians, IT network operations, and operational technology teams and can typically take more than 20 minutes for a single device. Imagine installing 10,000 “smart IoT” light bulbs – at present, it could take two years to complete the process. This is to say nothing of the effort required to maintain device privacy and security.

To solve these complex issues, today Intel announced the launch of Intel® Secure Device Onboard (Intel® SDO). This technology securely automates and brings IoT devices online within seconds rather than hours. Intel SDO is being offered to IoT platform providers as a service they can provide to customers who wish to onboard thousands of connected devices.

More: Intel Secure Device Onboard (Product Brief)

Intel SDO’s “zero touch” model allows devices to dynamically discover the customer’s IoT platform account at power-on for automatic registration. It offers a one-to-many, one-time enablement solution that can be integrated into almost any device or IoT platform, thereby eliminating the need to custom pre-load provisioning configurations for each IoT implementation.

The Intel SDO also leverages Intel’s unique privacy-preserving IoT identity solution, the Intel® Enhanced Privacy ID (Intel® EPID), to anonymously authenticate the device and establish an encrypted communication tunnel, thereby preventing hackers from tracing the device from factory to owner. Intel EPID establishes a best practice identity model for IoT onboarding and is a proven method with over 2.7 billion keys distributed in Intel and non-Intel MCU processors since 2008.

Intel has expanded the availability of Intel SDO across the IoT ecosystem. Other silicon providers like Infineon, Microchip and Cypress Semiconductor will embed the EPID identity capability in their hardware. Cloud service platform and device management software providers like Google Cloud, Amazon Web Services (AWS), Microsoft Azure and Intel’s Wind River® Helix™ Device Cloud intend to provide integration to support Intel SDO’s zero touch model.

Intel SDO is now integrated with Wind River Helix Device Cloud, its device lifecycle management platform that enables IoT devices to securely connect, monitor, manage and service devices. With the integration of Intel SDO, Wind River’s latest release of Device Cloud includes zero touch onboarding designed to mitigate the risk of security attacks to a device, ensure privacy and deliver automation that dramatically reduces installation and onboarding time to mere seconds, among other new features and capabilities.

Weatherford, a leading oil and gas services company, was part of the Intel SDO pilot program. The company wanted to pull data from existing controllers and install new wireless sensors through a gateway to the cloud to drive oil and gas insights. By adopting the Intel SDO and Wind River’s Device Cloud, Weatherford was able to create a secure, scalable oilfield ecosystem from zero-touch onboarding to continual gateway management. It projects the sheer scale of the market for managed devices could reach 290,000 wells, representing 870,000 sensor data points and nearly 10,000 IoT gateways at a global level.

With these new offerings, Intel is at the forefront of developing cutting-edge solutions to deliver on the promise of IoT’s potential.

For more details on Intel’s keynote at the IoT Solution World Congress visit Intel’s IOT Solutions World Congress page or to find our more about becoming part of the Intel SDO ecosystem, go to Intel Secure Device Onboard page.

The post Intel Offers Innovative Approach to IoT Scaling and Security appeared first on Intel Newsroom.

Intel Offers Innovative Approach to IoT Scaling and Security

» Click for full infographic

At the IoT Solutions World Congress, Intel addressed the challenges facing the Internet of Things (IoT) market today, and made a critical announcement designed to empower the industry to make the most of the tremendous opportunities ahead.

While earlier reports claimed that we will see 50 billion devices by 2020, the reality is we are nowhere close to reaching those numbers. In fact, recent research reports are far more tempered and predict closer to 30 billion devices in the same timeframe. The reason for the scaled-down outlook is because of the real-time issues of scaling deployments and security.

Today, provisioning and management of devices is a huge challenge, as IoT devices are added manually. It involves coordination between installation technicians, IT network operations, and operational technology teams and can typically take more than 20 minutes for a single device. Imagine installing 10,000 “smart IoT” light bulbs – at present, it could take two years to complete the process. This is to say nothing of the effort required to maintain device privacy and security.

To solve these complex issues, today Intel announced the launch of Intel® Secure Device Onboard (Intel® SDO). This technology securely automates and brings IoT devices online within seconds rather than hours. Intel SDO is being offered to IoT platform providers as a service they can provide to customers who wish to onboard thousands of connected devices.

More: Intel Secure Device Onboard (Product Brief)

Intel SDO’s “zero touch” model allows devices to dynamically discover the customer’s IoT platform account at power-on for automatic registration. It offers a one-to-many, one-time enablement solution that can be integrated into almost any device or IoT platform, thereby eliminating the need to custom pre-load provisioning configurations for each IoT implementation.

The Intel SDO also leverages Intel’s unique privacy-preserving IoT identity solution, the Intel® Enhanced Privacy ID (Intel® EPID), to anonymously authenticate the device and establish an encrypted communication tunnel, thereby preventing hackers from tracing the device from factory to owner. Intel EPID establishes a best practice identity model for IoT onboarding and is a proven method with over 2.7 billion keys distributed in Intel and non-Intel MCU processors since 2008.

Intel has expanded the availability of Intel SDO across the IoT ecosystem. Other silicon providers like Infineon, Microchip and Cypress Semiconductor will embed the EPID identity capability in their hardware. Cloud service platform and device management software providers like Google Cloud, Amazon Web Services (AWS), Microsoft Azure and Intel’s Wind River® Helix™ Device Cloud intend to provide integration to support Intel SDO’s zero touch model.

Intel SDO is now integrated with Wind River Helix Device Cloud, its device lifecycle management platform that enables IoT devices to securely connect, monitor, manage and service devices. With the integration of Intel SDO, Wind River’s latest release of Device Cloud includes zero touch onboarding designed to mitigate the risk of security attacks to a device, ensure privacy and deliver automation that dramatically reduces installation and onboarding time to mere seconds, among other new features and capabilities.

Weatherford, a leading oil and gas services company, was part of the Intel SDO pilot program. The company wanted to pull data from existing controllers and install new wireless sensors through a gateway to the cloud to drive oil and gas insights. By adopting the Intel SDO and Wind River’s Device Cloud, Weatherford was able to create a secure, scalable oilfield ecosystem from zero-touch onboarding to continual gateway management. It projects the sheer scale of the market for managed devices could reach 290,000 wells, representing 870,000 sensor data points and nearly 10,000 IoT gateways at a global level.

With these new offerings, Intel is at the forefront of developing cutting-edge solutions to deliver on the promise of IoT’s potential.

For more details on Intel’s keynote at the IoT Solution World Congress visit Intel’s IOT Solutions World Congress page or to find our more about becoming part of the Intel SDO ecosystem, go to Intel Secure Device Onboard page.

The post Intel Offers Innovative Approach to IoT Scaling and Security appeared first on Intel Newsroom.

Air Pollution Monitoring Solution by Intel and Bosch Provides Intelligent Data to Help Manage Air Quality

Directly addressing the issue of air quality, Intel is announcing a new Intel-based Bosch Air Quality Micro Climate Monitoring System (MCMS)*. The system is designed with sensors and software to ensure air quality parameters are measured rapidly and accurately. With access to comprehensive air quality data, city officials around the world will be equipped to quickly take action to improve the quality of life.

A 2016 World Health Organization study on Global Urban Ambient Air Pollution found that 98 percent of densely populated cities in economically underdeveloped countries are exposed to the highest levels of urban ambient air pollution. As a city’s air quality declines, the risk of pulmonary and acute respiratory diseases, including asthma, increases. 

MCMS offers comprehensive microclimatic data measurements for EPA “criteria pollutants” for air quality, such as particulate matter, carbon monoxide, carbon dioxide, nitric oxide, nitrogen dioxide, sulfur dioxide and ozone. Additionally, MCMS also provides environmental parameter measurements of temperature, relative humidity, light (including ultraviolet), sound and pressure. While traditional ambient monitoring systems require large infrastructure, huge investments and complex operations, the Intel-based Bosch MCMS provides a cost-effective monitoring system to efficiently measure and manage optimal air quality.

MCMS can provide intelligent data and enable real-time analysis of ambient air pollution that communities can leverage for a variety of applications, ranging from adjusting traffic flow in congested areas to providing fitness recommendations based on air quality to other actions. In industrial and factory environments, it will help track emissions and provide safety checks for workers to meet compliance requirements.

Intel SmartCities Bosch Infographic

» Download all images (ZIP, 24 MB)

On construction sites, managers will be able to provide early warning signals and improve efficiency while improving work conditions. In the residential environment, MCMS can also be used to provide key information for prospective buyers of real estate and for sellers and builders to provide evidence of ambient air quality. The compactly built device is designed to withstand rugged weather conditions, and features remote monitoring enabled by both wired and wireless interfaces (Wi-Fi and 3G). It also includes the ability to provide over-the-air calibration to keep the sensors adjusted to generate high-quality environmental data.

MCMS is powered by the Intel® IoT Platform, Wind River® Helix Device Cloud for edge device lifecycle management and a hardened end-to-end security solution. The solution features cloud-based analytics, data management and visualization software. It has a serviceable, user-friendly design that is closely aligned with EPA standards built-in security to help protect and secure data from all devices. By enabling the solution to easily scale up to the future 5G network and other machine-to-machine connectivity technologies, Intel and Bosch deliver a cost-effective solution that allows cities broader deployment, extended coverage and optimization.

The Bosch Air Quality Micro Climate Monitoring System is available now. For information on Bosch MCMS, visit the Bosch website or the Intel solution brief.

The post Air Pollution Monitoring Solution by Intel and Bosch Provides Intelligent Data to Help Manage Air Quality appeared first on Intel Newsroom.

Air Pollution Monitoring Solution by Intel and Bosch Provides Intelligent Data to Help Manage Air Quality

Directly addressing the issue of air quality, Intel is announcing a new Intel-based Bosch Air Quality Micro Climate Monitoring System (MCMS)*. The system is designed with sensors and software to ensure air quality parameters are measured rapidly and accurately. With access to comprehensive air quality data, city officials around the world will be equipped to quickly take action to improve the quality of life.

A 2016 World Health Organization study on Global Urban Ambient Air Pollution found that 98 percent of densely populated cities in economically underdeveloped countries are exposed to the highest levels of urban ambient air pollution. As a city’s air quality declines, the risk of pulmonary and acute respiratory diseases, including asthma, increases. 

MCMS offers comprehensive microclimatic data measurements for EPA “criteria pollutants” for air quality, such as particulate matter, carbon monoxide, carbon dioxide, nitric oxide, nitrogen dioxide, sulfur dioxide and ozone. Additionally, MCMS also provides environmental parameter measurements of temperature, relative humidity, light (including ultraviolet), sound and pressure. While traditional ambient monitoring systems require large infrastructure, huge investments and complex operations, the Intel-based Bosch MCMS provides a cost-effective monitoring system to efficiently measure and manage optimal air quality.

MCMS can provide intelligent data and enable real-time analysis of ambient air pollution that communities can leverage for a variety of applications, ranging from adjusting traffic flow in congested areas to providing fitness recommendations based on air quality to other actions. In industrial and factory environments, it will help track emissions and provide safety checks for workers to meet compliance requirements.

Intel SmartCities Bosch Infographic

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On construction sites, managers will be able to provide early warning signals and improve efficiency while improving work conditions. In the residential environment, MCMS can also be used to provide key information for prospective buyers of real estate and for sellers and builders to provide evidence of ambient air quality. The compactly built device is designed to withstand rugged weather conditions, and features remote monitoring enabled by both wired and wireless interfaces (Wi-Fi and 3G). It also includes the ability to provide over-the-air calibration to keep the sensors adjusted to generate high-quality environmental data.

MCMS is powered by the Intel® IoT Platform, Wind River® Helix Device Cloud for edge device lifecycle management and a hardened end-to-end security solution. The solution features cloud-based analytics, data management and visualization software. It has a serviceable, user-friendly design that is closely aligned with EPA standards built-in security to help protect and secure data from all devices. By enabling the solution to easily scale up to the future 5G network and other machine-to-machine connectivity technologies, Intel and Bosch deliver a cost-effective solution that allows cities broader deployment, extended coverage and optimization.

The Bosch Air Quality Micro Climate Monitoring System is available now. For information on Bosch MCMS, visit the Bosch website or the Intel solution brief.

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