From Intel Movidius Neural Compute Stick to Tiny Artificial Intelligence Camera

Today, FLIR® Systems announced the FLIR Firefly® camera family, which incorporates the Intel® Movidius™ Myriad™ 2 Vision Processing Unit (VPU) for artificial intelligence at the edge. The Firefly* combines a new machine vision platform with the power of deep learning to address complex and subjective problems, such as classifying the quality of a solar panel or determining whether fruit is of export quality.

FLIR engineers accelerated the Firefly’s development cycle using the Intel® Movidius™ Neural Compute Stick (NCS) for prototype development. For large-scale commercial production, they  ported that development work to the Intel Movidius Myriad 2 VPU. By rapidly prototyping on the Intel Movidius Neural Compute Stick and the Neural Compute SDK, FLIR streamlined the development of machine learning in the camera. The production version of the Firefly uses the tiny, stand-alone Intel Movidius Myriad 2 VPU to perform two roles at the edge: image signal processing and open platform inference.

The 27- by 27-milimeter Firefly is roughly the size of a U.S. quarter.

More: Reimagined Machine Vision with On-Camera Deep Learning (Case Study) | FLIR Systems Announces Industry-First Deep Learning-Enabled Camera Family (News Release) | Intel Movidius (Press Kit) | All Intel Explainers

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The FLIR Firefly camera family announced on Oct. 18, 2018, incorporates the Intel Movidius Myriad 2 Vision Processing Unit. What started as three distinct devices is transformed into the 27- by 27-milimeter Firefly unit. (Credit: FLIR)

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Holiday 2018 Look Book: Give Intel. Get Amazing.

intel holiday 2018 look bookThe hottest gifts this season are the newest experiences enabled by technology, and Intel is driving innovation to help power their greatest contribution. From laptops and 2 in 1s powered by the latest 8th Gen Intel® Core™ mobile processors optimized for connectivity and long battery life to All-in-One powerhouses for unleashing creativity to gaming rigs that play, stream and record with ease on all-new 9th Gen Intel Core desktop processors, there’s no better gift than the perfect PC to help focus, create and connect.

Intel’s Holiday 2018 Look Book is the ultimate gift guide for Intel® processor-based 2 in 1s, sleek thin-and-light notebooks, high-performance desktops, and connected home devices from Acer*, ASUS*, Dell*, Google*, HP*, Lenovo*, Microsoft* and more.

Stay Safe Online: Once you get the perfect PC, it’s important to keep your PC updated to help keep it better protected. Intel is working with the National Cyber Security Alliance* to remind desktop and laptop computer owners of the importance of updating their systems when notified by system manufacturers and operating system vendors. Having the latest system updates, security software, web browser and operating system are some of the best ways to help keep devices secure, protect data and deliver an amazing computing experience. To learn more, visit the Stay Safe Online website.

View the 2018 Look Book

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Intel Tech Learning Lab Starts Tour to Shape Education’s Future

Intel Tech Learning Lab 1

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What’s New: Sharing an immersive, technology-based approach to education, Intel’s Tech Learning Lab begins a multi-city experiential tour today for students and teachers. The nationwide tour starts at the Bronx Academy of Letters in New York City.

“Intel is addressing the needs of educators through advanced technology that enables effective and dynamic classroom experiences and drives students’ skills development to prepare them for the demands of the future workforce.”
–Raysana Hurtado, education segment manager at Intel

What It Is: Intel’s Tech Learning Lab is a custom-built mobile container truck outfitted with virtual reality (VR) demo stations, powerful PCs, augmented reality (AR) and Internet of Things (IoT) smart whiteboards. Accompanied by immersive, hands-on workshops featuring artificial intelligence, coding and robotics, it will make stops at schools and other education institutions through Dec. 15.

Why It’s Important: Intel will bring innovative teaching methods to educators to help them build the leaders of tomorrow by developing fundamental career skills like communication, collaboration, self-awareness, problem-solving, critical thinking and more.

Today’s students live in a digital world. Modern teaching methods need to reflect this, with technology as a seamless integration applied across all areas of instruction. Despite the indisputable need for a sophisticated workforce, schools across the country are stuck using technologies and instructional models of the past to prepare students for careers of the future.

The Tech Learning Lab tour is designed to engage with educators and spark conversations that go beyond the classroom to fuel curiosity about the role of technology and its impact on our world and daily lives. Hands-on virtual lessons spanning arts, science and other subjects will introduce students, teachers and administrators to the power of technology as an instructional tool for the 21st century.

Why Now: The U.S. education system is changing, with drastic cuts to arts education; the rise of science, technology, engineering and math education (STEM); and innovative new models. Until now, classroom technology has been used as an add-on to existing instructional methods rather than as tools to improve or revolutionize instruction.

Cutting-edge technology-based educational programs can emphasize deeper collaboration and engagement, versus student instruction on software that likely will be obsolete by the time they enter the workforce. The future classroom is one that incorporates powerful technology and encourages creative approaches to learning, supporting education goals today and for tomorrow.

Where It will Visit: Intel’s Tech Learning Lab continues at schools across the country, with visits planned to:

  • Weston High School, in Weston, Mass. (Nov. 7-9)
  • Ron Clark Academy, in Atlanta (Nov. 15-16)
  • Design39Campus, in San Diego (Nov. 29-30)
  • McClymonds High School, in Oakland, Calif. (week of Dec. 3rd)
  • Oakland Tech, in Oakland, Calif. (week of Dec. 3rd)

More Context: For full details on the technologies featured throughout Intel’s Tech Learning Lab, visit the tour fact sheet.


» Download video: “Tech Learning Lab (B-Roll)”

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Intel and Simacan Combine in Effort to Ease Congestion Caused by Freight Traffic

trucks 2x1What’s New: Intel and Simacan* are working together to enable so-called “digital corridors” for truck platoons along the highly congested “Tulip Corridor” routes that connect North Sea shipping ports to Germany’s industrial Ruhr Valley. The platoons are enabled by Simacan Control Tower,* a cloud-based logistics solution that uses Intel® Xeon® Scalable processors to analyse huge amounts of real-time data.Supporting Quote

“The Tulip Corridor is a very tangible illustration that data is the ‘new oil.’ The volume of data involved bringing truck platooning to reality demonstrates the ability of Intel technology to power the world’s data-driven needs.”
–Norberto Carrascal, business consumption director, EMEA territory, Intel Corporation

How It Works: In truck platoons, a collection of trucks equipped with state-of-the-art driving support systems follow each other in close formation. The trucks include smart technology and are communicating among one another, as well as to the drivers, to enable them to stay in close formation.

Intel-powered Simacan Control Tower software delivers a detailed operational picture featuring vehicles of multiple carriers. It includes traffic and vehicle condition updates, predicted arrival times, and automatic geofence detection. Based on this information, Simacan shares real-time notifications on planning, routing and arrival times, and delivers post-trip analyses based on the data gathered.

“With the Simacan Transport Cloud and Simacan Control Tower, we constantly merge and analyse millions of data points out of logistic planning systems, onboard vehicle systems and intelligent traffic management systems in real time,” said Rob Schuurbiers, CEO of Simacan. “With the support of Intel’s extremely high-performance technology, we succeed in meeting and surpassing our customers’ expectations.”

Results from the initial trials have already indicated the potential benefits of the platooning approach. Traffic flow for the platoons was improved by 10 to 17 percent. Applied to the working lifespan of a truck of 175,000 kilometres, this equates to a saving of 6,000 litres of diesel per truck, beneficial for the operators and for the environment.

Why It’s Important: Rotterdam, Netherlands, and Antwerp, Belgium, are Europe’s two busiest ports, handling a combined 675 million tons of freight in 2017. Most of this freight needs to be transported inland, much of it to the Ruhr Valley in Germany’s industrial heartland. This creates an ever-increasing burden on road networks that are struggling to cope with a high volume of trucks and the increasing disruption than can be caused by one truck breaking down. Truck platooning is a potential answer to this problem – helping ease the flow of traffic, improve safety and reliability, while reducing the impact on the surrounding environment. All this needs to be done without impairing companies’ ability to get their goods delivered on time.

What’s Next: Truck platooning will be tested at different levels along the Tulip Corridor between 2019 and 2023. An ambitious goal is for 100 platoons daily to traverse the Tulip Corridor by 2020.

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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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Intel Artificial Intelligence and Rolls-Royce Push Full Steam ahead on Autonomous Shipping

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Photos from Rolls-Royce

What’s New: Rolls-Royce* builds shipping systems that are sophisticated and intelligent – and eventually it will add fully autonomous to that portfolio – as it makes commercial shipping safer and more efficient. It’s doing so using artificial intelligence (AI) powered by Intel® Xeon® Scalable processors and Intel® 3D NAND SSDs for storage.

“Delivering these systems is all about processing – moving and storing huge volumes of data – and that is where Intel comes in. Rolls-Royce is a key driver of innovation in the shipping industry, and together we are creating the foundation for safe shipping operations around the world.”
–Lisa Spelman, vice president and general manager, Intel Xeon Processors and Data Center Marketing in the Data Center Group at Intel

How It Works: Ships have dedicated Intel Xeon Scalable processor-based servers on board, turning them into cutting-edge floating data centers with heavy computation and AI inference capabilities. Rolls-Royce’s Intelligent Awareness System (IA) uses AI-powered sensor fusion and decision-making by processing data from lidar, radar, thermal cameras, HD cameras, satellite data and weather forecasts. This data allows vessels to become aware of their surroundings, improving safety by detecting objects several kilometers away, even in busy ports. This is especially important when operating at night, in adverse weather conditions or in congested waterways.

iam multi 2x1Data collected by the vessels is stored using Intel 3D NAND SSDs, acting as a “black box,” securing the information for training and analysis once the ship is docked. Even compressed, data captured by each vessel can reach up to 1TB per day or 30TB to 40TB over a monthlong voyage, making storage a critical component of the intelligent solution.

“This collaboration is helping us to develop technology that supports ship owners in the automation of their navigation and operations, reducing the opportunity for human error and allowing crews to focus on more valuable tasks,” said Kevin Daffey, director, Engineering & Technology and Ship Intelligence at Rolls-Royce. “Simply said, this project would not be possible without leading-edge technology now brought to the table by Intel. Together, we can blend the best of the best to change the world of shipping.”

Why It’s Important: Ninety percent of world trade is carried out via international shipping – a number that is projected to grow. Of a total world fleet of about 100,000 vessels, around 25,000 use Rolls-Royce equipment, making the company a key player in the shipping industry.

The sea can be a hostile environment – dangerous ocean conditions resulted in 1,129 total shipping losses over the past 10 years, mostly due to human error. Enabling a massive vessel — loaded with millions or billions of dollars’ worth of goods — to better navigate and detect obstacles and hazards in real time, requires the crew to have the information they need to make smart and potentially lifesaving decisions. These systems also reduce the potential for human error by automating routine tasks and processes, freeing the crew to focus on critical decision-making.

Additionally, this system can potentially lower insurance premiums for vessels, since all of the ship’s data is stored securely in the 3D NAND SSDs that can provide valuable data on the cause of collisions and other problems.

This technology is in action today. In a recent pilot in Japan, Rolls-Royce demonstrated that its vessels can even understand their surroundings at nighttime, when it is not possible for humans to visually detect objects in the water.

More Context: Sailing the Seas of Autonomous Shipping (Binay Ackaloor Blog) | Rolls-Royce Ship Intelligence | Artificial Intelligence at Intel

Intel, the Intel logo and Xeon are trademarks of Intel Corporation in the U.S. and/or other countries.

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Arizona Taps Intel as First Partner for Institute for Automated Driving

What’s New: The state of Arizona today announced the formation of the Institute for Automated Mobility to advance the safe deployment of automated vehicles. Intel Corporation is a founding partner of the new institute. This unique public-private consortium will focus on the liability, regulatory and safety implications of automated vehicles and will work to develop standards and best practices for the industry to follow. The group is already working on liability and regulatory research as well as plans for an enclosed 2.1-mile safety test track.

“The Institute for Automated Mobility will bring together global industry leaders, a public sector team and the brightest minds in academia, focused on advancing all aspects of automated vehicle science, safety and policy. Arizona is committed to providing the leadership and knowledge necessary to integrate these technologies into the world’s transportation systems.”
–Doug Ducey, Arizona governor

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» Click to enlarge

Who is Involved: Founding partners include Intel, the Arizona Department of Transportation, the Arizona Department of Public Safety, the Arizona Commerce Authority, Arizona State University, the University of Arizona and Northern Arizona University.

Each founding partner has a seat on the board of directors to provide governance, fiduciary oversight and strategic guidance for the institute’s policies and priorities. Founding partners determine research priorities and targeted outcomes and may sponsor ancillary research.

How It Works: Each founding partner provides important expertise:

  • The Arizona Commerce Authority will oversee the institute and direct its mission to shape the future of automated transportation science, safety and policy.
  • Academic partners will conduct research and publish papers on important safety-related topics, including liability questions surrounding automated vehicles involved in accidents, compensation models and safety standards.
  • Intel will work with all partners offering Mobileye’s Responsibility Sensitive Safety (RSS) model as a starting point for building their solutions. RSS is already deployed by Baidu* in its Project Apollo and Apollo Pilot Programs for Automated Driving.
  • The Arizona Department of Public Safety and Arizona Department of Transportation will build a traffic incident management center to integrate law enforcement and first responders with automated technologies unlike any other location in the country.

Why It Matters: Automated vehicles will transform the world as we know it. According to the National Highway Traffic Safety Administration, traffic crashes in the U.S. claim more than 35,000 lives and cost more than $252 billion each year. What’s more, 94 percent of serious crashes are caused by human error. Automated vehicles can remove humans from the driving scenario1. A market opportunity and societal disruption of this size demands validated safety and security standards that don’t yet exist.

“The safety of automated vehicles is essential to establish trust with consumers and governments so that we can all enjoy the multifold benefits they will deliver,” said Jack Weast, senior principal engineer at Intel and vice president of automated vehicle standards at Mobileye. “By investing in the research of technology-neutral solutions, policies and standards for safety, Intel and the Institute for Automated Mobility will help build that trust.”

What is RSS: Mobileye CEO Professor Amnon Shashua first proposed RSS in 2017 as an open, transparent and technology-neutral starting point for the industry to align on what it means for an autonomous vehicle to drive safely. To put it simply: While planning gets you from point A to point B, RSS helps keep you safe along the way.

RSS formalizes human notions of safe driving into a verifiable model with logically provable rules and defines appropriate responses. Additionally, RSS ensures that only safe decisions are made by the automated vehicle and that the automated vehicle will do everything it can to avoid being involved in unsafe situations initiated by others.

More Context: More details about this announcement | Automated Driving at Intel | Intel in Arizona

» Download video: “Intel and Arizona Join in Automated Vehicle Safety Institute (B-roll)”

1https://www.nhtsa.gov/technology-innovation/automated-vehicles-safety#topic-benefits

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Joint Venture with Intel-Funded Startup Eko Makes Walmart a Major Player in Interactive Media

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A screen capture from the Eko show, “That Moment When.” Eko is known for original programming that lets viewers decide how the actors onscreen should behave and react.

Walmart and Amazon are locked in a battle for retail dominance. Now the Arkansas-based giant has opened a second front, which analysts say could counter Amazon’s robust streaming entertainment business.

Walmart on Thursday announced a joint venture with Eko, a startup funded by Intel Capital and other blue-chip names. Eko will use its interactive video technology and ties to Hollywood studios to create cooking shows, toy catalogs and other content for the world’s largest retailer.

Eko founder and CEO Yoni Bloch called the deal with Walmart “the largest investment made to date in interactive TV,’’ a sentiment echoed in coverage by The New York Times and others.

Eko is known for original programming that lets viewers decide how the actors onscreen should behave and react.

Scott McCall, Walmart’s senior vice president for entertainment, said new content from Eko will “deepen relationships with customers.” Each choice made by viewers could provide insight into their preferences, enabling targeted advertising and interactive shopping.

McCall said Eko’s programs will be available on Walmart properties including streaming service Vudu, as well as on social media and other channels.

Bloch, a well-known rock musician in his native Israel, founded Eko in 2010 as Interlude. It’s headquartered in New York and Tel Aviv. In addition to Intel Capital, investors include Sequoia Capital, Warner Music and Sony.

With Intel predicting 5G networks will drive more than $1.3 trillion in new revenue for media companies in the coming decade, Eko’s leaders see opportunity ahead.

“5G makes everything work better, particularly as more and more media is going through wireless,” said Jim Spare, Eko president and COO. “It just accelerates and expands the ways in which consumers can enjoy interactive experiences.”

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Intel Study Finds 5G will Drive $1.3 Trillion in New Revenues in Media and Entertainment Industry by 2028

5g heroWhat’s New: According to the newly released “5G Economics of Entertainment Report” commissioned by Intel and conducted by Ovum, it is forecast that over the next decade (2019-2028) media and entertainment companies will be competing to win a share of a near $3 trillion cumulative wireless revenue opportunity. Experiences enabled by 5G networks will account for nearly half of this revenue opportunity (close to $1.3 trillion).

“5G will inevitably shake up the media and entertainment landscape. It will be a major competitive asset if companies adapt. If not, they risk failure or even extinction. This wave of 5G transformation will not be the purview of any singular industry, and now is certainly the time for all business decision-makers to ask: Is your business 5G-ready?”
–Jonathan Wood, general manager of Business Development & Partnerships, 5G Next Generation and Standards at Intel

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» Click for full infographic

Why 2025 is the 5G Tipping Point: The report says that as early as 2025, 57 percent of global wireless media revenues will be generated by using the super-high-bandwidth capabilities of 5G networks and the devices that run on 5G. The low latency of these networks means that no video will stall or stop – livestreaming and large downloads will happen in the blink of an eye.

The report points to the following breakouts in revenue as 5G networks overtake 3G and 4G by offering new capabilities:

  • 2022: nearly 20 percent of total revenues – $47 billion of $253 billion
  • 2025: more than 55 percent of total revenues – $183 billion of $321 billion
  • 2028: nearly 80 percent of total revenues – $335 billion of $420 billion

How Media Demand Drives Network Evolution: The “5G Economics of Entertainment Report” forecasts that 5G will accelerate content consumption, including mobile media, mobile advertising, home broadband and TV, and improve experiences across a broad range of new immersive and interactive technologies – unleashing the full potential of augmented reality (AR), virtual reality (VR) and new media.

The average monthly traffic per 5G subscriber will grow from 11.7GB in 2019 to 84.4GB per month in 2028, at which point video will account for 90 percent of all 5G traffic.

Evolved 3G and 4G networks would offer a degraded experience because the capacity will be insufficient to handle the increased video viewing time, content evolution to higher resolutions, more embedded media and immersive experiences.

Forecast to provide $140 billion in cumulative revenues (2021-2028), expanded AR and VR experiences may also enable a whole new channel for content producers to reach consumers.

Immersive and new media applications – applications and capabilities that are currently nonexistent – will reach unprecedented scale by 2028, forecast to generate more than $67 billion annually or the value of the entire current global mobile media market – video, music and games – in 2017.

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» Click for full infographic

How Businesses are Tuning in to 5G: Beyond media and entertainment, all industries are having to adapt to disruptive changes in the business environment, consumers’ habits and public expectations. Businesses are trying to imagine how 5G will transform and disrupt their industry, society and even global competitiveness, as well as beginning to formulate their strategy to embrace the capabilities of 5G. Without the promise of what 5G can provide, growth in many industries may remain stagnant or even decline.

When 3G wireless networks launched, no one could have predicted how the mobile world would look today. 4G in the U.S. spawned entire new industries. Companies like Airbnb*, Uber*, Netflix* and Spotify* may not have been possible without 4G technology.

“The big question is: What will not be impacted or disrupted by 5G? The next generation wireless network will power diverse digital innovation – everything from the computerization of physical objects to artificial intelligence, ushering in an exciting new world that business leaders and indeed nations need to prepare for,” said Ed Barton, chief analyst of the Entertainment Practice, Ovum.

What It Means to Intel: 5G networks will provide lower latency (to be more responsive), greater speeds (to move the increasing volumes of data we produce), and the ability to expand beyond computers and phones to encompass the cloud and a whole new universe of devices (estimated in the billions) attached to the network. Intel is uniquely positioned to power the entire 5G tech ecosystem to support this flood of new data.

Intel is no longer just “inside” your computer; Intel’s technological innovation is expanding to 5G network, consumer and industrial applications and the cloud.

More Context: E-Book: How 5G will Transform the Business of Media & Entertainment | Backgrounder: Key Findings — 5G Economics of Entertainment Report | Infographic: Immersive 5G Experiences Start and End with Intel | Infographic: 2025: The 5G Tipping Point | Press Kit: 5G at Intel | Intel.com: Intel 5G: Network. Cloud. Client.

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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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