Intel

www.intel.com.

You may know us for our processors. But we do so much more. Intel invents at the boundaries of technology to make amazing experiences possible for business and society, and for every person on Earth. Harnessing the capability of the cloud, the ubiquity of the Internet of Things, the latest advances in memory and programmable solutions, and the promise of always-on 5G connectivity, Intel is disrupting industries and solving global challenges. Leading on policy, diversity, inclusion, education and sustainability, we create value for our stockholders, customers and society.

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Exploring Deep Learning Face Recognition with Thermal Images

This blog post was originally published at Intel's website. It is reprinted here with the permission of Intel. Interactions with computer systems frequently benefit from the ability to detect information about the user or use environment. Image processing and analyzing techniques, including deep neural networks (DNNs), are often used for this purpose. However, many promising …

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2020 CES: Mobileye’s Global Ambitions Take Shape with New Deals in China, South Korea

January 7, 2020 – What’s New: With sales close to $1 billion in 2019 and expected to rise double-digits this year, Mobileye’s global ambitions in advanced driver-assistance systems (ADAS) and autonomous mobility-as-a-service (MaaS) came into sharper focus with two agreements announced today. SAIC, a leading Chinese OEM, plans to use Mobileye’s REM mapping technology to map China for L2+ ADAS …

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Intel Is Going All-In to Dominate AI Chipset World

This market research report was originally published at Tractica’s website. It is reprinted here with the permission of Tractica. The AI revolution started in 2012 when neural network AlexNet surpassed the accuracy of all previous classic computer vision techniques, and the industry has not looked back since. AI algorithms are compute-sensitive by nature, and the …

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“AI Reliability Against Adversarial Inputs,” a Presentation from Intel

Gokcen Cilingir, AI Software Architect, and Li Chen, Data Scientist and Research Scientist, both at Intel, presents the "AI Reliability Against Adversarial Inputs" tutorial at the May 2019 Embedded Vision Summit. As artificial intelligence solutions are becoming ubiquitous, the security and reliability of AI algorithms is becoming an important consideration and a key differentiator for …

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“Fast and Accurate RMNet: A New Neural Network for Embedded Vision,” a Presentation from Intel

Ilya Krylov, Software Engineering Manager at Intel, presents the "Fast and Accurate RMNet: A New Neural Network for Embedded Vision" tutorial at the May 2019 Embedded Vision Summit. Usually, the top places in deep learning challenges are won by huge neural networks that require massive amounts of data and computation, making them impractical for use …

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Intel Lays Cornerstone for Mobileye’s New Global Development Center in Jerusalem

August 29, 2019 – On Tuesday, Mobileye President and  CEO Prof. Amnon Shashua and Israeli Prime Minister Benjamin Netanyahu laid the cornerstone for Mobileye’s new global development center in Jerusalem. They were joined by Israel Economy Minister Eli Cohen and Jerusalem Mayor Moshe Lion. When complete, the eight-story complex will span 50,000 square meters above ground and …

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“Applied Depth Sensing with Intel RealSense,” a Presentation from Intel

Sergey Dorodnicov, Software Architect at Intel, presents the "Applied Depth Sensing with Intel RealSense" tutorial at the May 2019 Embedded Vision Summit. As robust depth cameras become more affordable, many new products will benefit from true 3D vision. This presentation highlights the benefits of depth sensing for tasks such as autonomous navigation, collision avoidance and …

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“Data Annotation at Scale: Pitfalls and Solutions,” a Presentation from Intel

Nikita Manovich, Senior Software Engineer at Intel, presents the "Data Annotation at Scale: Pitfalls and Solutions" tutorial at the May 2019 Embedded Vision Summit. In many real-world use cases, deep learning algorithms work well if you have enough high-quality data to train them. Obtaining that data is a critical limiting factor in the development of …

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“Building AI Cameras with Intel Movidius VPUs,” a Presentation from Intel

Gary Brown, Director of AI Marketing at Intel, presents the "Building AI Cameras with Intel Movidius VPUs" tutorial at the May 2019 Embedded Vision Summit. Today, the availability of silicon platforms with sufficient performance and compute efficiency to run AI inference algorithms has given rise to many interesting edge products: from smart home security cameras …

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“How to Get the Best Deep Learning Performance with the OpenVINO Toolkit,” a Presentation from Intel

Yury Gorbachev, Principal Engineer at Intel, presents the "How to Get the Best Deep Learning Performance with the OpenVINO Toolkit" tutorial at the May 2019 Embedded Vision Summit. Tremendous recent progress in deep learning and computer vision algorithms has made it possible to create innovative applications that were not previously feasible. However, moving from academic …

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“Object Trackers: Approaches and Applications,” a Presentation from Intel

Minje Park, Deep Learning R&D Engineer at Intel, presents the "Object Trackers: Approaches and Applications" tutorial at the May 2019 Embedded Vision Summit. Object tracking is a powerful algorithm component and one of the fundamental building blocks for many real-world computer vision applications. Object trackers provide two main benefits when incorporated into a localization module. …

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“AI+: Combining AI and Other Critical Functions Using Intel FPGAs,” a Presentation from Intel

Ronak Shah, Director of AI Marketing Strategy at Intel's Programmable Solutions Group, presents the "AI+: Combining AI and Other Critical Functions Using Intel FPGAs" tutorial at the May 2019 Embedded Vision Summit. AI is increasingly being deployed in vision applications, and most of these applications require other functionality in addition to AI. For example, a …

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Intel Announces New Class of RealSense Stand-Alone Inside-Out Tracking Camera

January 23, 2019 – What’s New: Intel today introduced the Intel® RealSense™ Tracking Camera T265, a new class of stand-alone inside-out tracking device that will provide developers with a powerful building block for autonomous devices, delivering high-performance guidance and navigation.

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Mobileye, Ordnance to Gather and Share Map Data to Manage Infrastructure for Smarter Cities, Safer Roads

January 7, 2019-What’s New: Mobileye, an Intel company, and Ordnance Survey, Great Britain’s national mapping agency, today announced an agreement to bring high-precision location data to U.K. agencies and businesses. Ordnance Survey’s world-leading geospatial and technology expertise will be paired with Mobileye’s automotive camera-based mapping capabilities to offer a new, accurate and customizable location information …

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New Intel RealSense D435i Stereo Depth Camera Adds 6 Degrees of Freedom Tracking

What’s New: Intel today introduced a new addition to the Intel® RealSense™ D400 series: the Intel RealSense Depth Camera D435i. This latest Intel RealSense camera includes a new inertial measurement unit (IMU) that enables developers to create solutions with more advanced depth-sensing and tracking capabilities for applications including drones, robotics and gaming.

“Rethinking Deep Learning: Neural Compute Stick,” a Presentation from Intel

Ashish Pai, Senior Director in the Neural Compute Program at Intel, presents the "Rethinking Deep Learning: Neural Compute Stick" tutorial at the May 2018 Embedded Vision Summit. In July 2017, Intel released the Movidius Neural Compute Stick (NCS)–a first-of-its-kind USB-based device for rapid prototyping and development of inference applications at the edge. NCS is powered …

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“Enabling Software Developers to Harness FPGA Compute Accelerators,” a Presentation from Intel

Bernhard Friebe, Senior Director of Marketing for the Programmable Solutions Group at Intel, presents the "Enabling Software Developers to Harness FPGA Compute Accelerators" tutorial at the May 2018 Embedded Vision Summit. FPGAs play a critical part in heterogeneous compute platforms as flexible, reprogrammable, multi-function accelerators. They enable custom-hardware performance with the programmability of software. The …

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“Enabling Cross-platform Deep Learning Applications with the Intel CV SDK,” a Presentation from Intel

Yury Gorbachev, Principal Engineer and the Lead Architect for the Computer Vision SDK at Intel, presents the “Enabling Cross-platform Deep Learning Applications with the Intel CV SDK” tutorial at the May 2018 Embedded Vision Summit. Intel offers a wide array of processors for computer vision and deep learning at the edge, including CPUs, GPUs, VPUs …

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“Developing Computer Vision Algorithms for Networked Cameras,” a Presentation from Intel

Dukhwan Kim, computer vision software architect at Intel, presents the "Developing Computer Vision Algorithms for Networked Cameras" tutorial at the May 2018 Embedded Vision Summit. Video analytics is one of the key elements in network cameras. Computer vision capabilities such as pedestrian detection, face detection and recognition and object detection and tracking are necessary for …

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“Balancing Safety, Convenience and Privacy in the Era of Ubiquitous Cameras,” a Presentation from Intel

Charlotte Dryden, Director of the Visual Computing Developer Solutions team at Intel, presents the "Balancing Safety, Convenience and Privacy in the Era of Ubiquitous Cameras" tutorial at the May 2018 Embedded Vision Summit. Computer vision-enabled cameras are proliferating rapidly and will soon be ubiquitous – in, on and around vehicles, homes, toys, stores, public transit, …

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OpenVX Implementations Deliver Robust Computer Vision Applications

Key to the widespread adoption of embedded vision is the ease of developing software that runs efficiently on a diversity of hardware platforms, with high performance, low power consumption and cost-effective system resource needs. In the past, this combination of objectives has been a tall order, since it has historically required significant code optimization for …

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OpenVX Enhancements, Optimization Opportunities Expand Vision Software Development Capabilities

Key to the widespread adoption of embedded vision is the ease of developing software that runs efficiently on a diversity of hardware platforms, with high performance, low power consumption and cost-effective system resource needs. In the past, this combination of objectives has been a tall order, since it has historically required significant code optimization for …

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Intel Delivers Best-in-Class Depth Sensing for Makers, Educators and Developers with Intel RealSense D400 Depth Camera Series

Today, Intel began shipping two new Intel® RealSense™ D400 Depth Cameras from the next-generation Intel RealSense D400 product family: the D415 and D435, adding 3D capabilities to any prototype development or end user-ready device or machine.

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Intel and Mobileye Offer Formula to Prove Safety of Autonomous Vehicles

Speaking today at the World Knowledge Forum in Seoul, South Korea, professor Amnon Shashua, Mobileye CEO and Intel senior vice president, offered the autonomous driving industry a way to prove the safety of autonomous vehicles.

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Intel Kick-Starts Mobileye Integration with Plans to Build Fleet of 100 L4 Autonomous Test Cars

With the completion of the tender offer of Mobileye, Intel is poised to accelerate its autonomous driving business from car-to-cloud. Mobileye, an Intel Company, will start building a fleet of fully autonomous (level 4 SAE) vehicles for testing in the United States, Israel and Europe. The first vehicles will be deployed later this year, and …

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“Designing Deep Neural Network Algorithms for Embedded Devices,” a Presentation from Intel

Minje Park, Software Engineering Manager at Intel, presents the "Designing Deep Neural Network Algorithms for Embedded Devices" tutorial at the May 2017 Embedded Vision Summit. Deep neural networks have shown state-of-the-art results in a variety of vision tasks. Although accurate, most of these deep neural networks are computationally intensive, creating challenges for embedded devices. In …

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“Designing Deep Neural Network Algorithms for Embedded Devices,” a Presentation from Intel

Minje Park, Software Engineering Manager at Intel, presents the "Designing Deep Neural Network Algorithms for Embedded Devices" tutorial at the May 2017 Embedded Vision Summit. Deep neural networks have shown state-of-the-art results in a variety of vision tasks. Although accurate, most of these deep neural networks are computationally intensive, creating challenges for embedded devices. In …

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“How Intel’s Latest RealSense Technology Can Help Your Embedded Systems See, Navigate, and Understand the Real World,” a Presentation from Intel

Anders Grunnet-Jepsen, CTO and Director of Advanced Technology in the Perceptual Computing Group at Intel, presents the "How Intel’s Latest RealSense Technology Can Help Your Embedded Systems See, Navigate, and Understand the Real World" tutorial at the May 2017 Embedded Vision Summit. Intel’s latest RealSense technology is specifically designed to enable highly sophisticated, low-cost, small …

“How Intel’s Latest RealSense Technology Can Help Your Embedded Systems See, Navigate, and Understand the Real World,” a Presentation from Intel Read More +

“Vision for All?,” a Presentation from Intel

Jeff McVeigh, Vice President in the Software and Services Group and General Manager of visual computing products at Intel, presents the "Vision for All?" tutorial at the May 2017 Embedded Vision Summit. So, you’ve decided to incorporate visual intelligence into your device or application. Will you need a team of computer vision PhDs working for …

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“Making OpenCV Code Run Fast,” a Presentation from Intel

Vadim Pisarevsky, Software Engineering Manager at Intel, presents the "Making OpenCV Code Run Fast" tutorial at the May 2017 Embedded Vision Summit. OpenCV is the de facto standard framework for computer vision developers, with a 16+ year history,  approximately one million lines of code, thousands of algorithms and tens of thousands of unit tests. While …

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“The Battle Between Traditional Algorithms and Deep Learning: The 3 Year Horizon,” a Presentation from Intel’s Movidius Group

Cormac Brick, Director of Machine Intelligence for Intel's Movidius Group, presents the "The Battle Between Traditional Algorithms and Deep Learning: The 3 Year Horizon" tutorial at the May 2017 Embedded Vision Summit. Deep learning techniques are gaining in popularity for many vision tasks. Will they soon dominate every facet of embedded vision? Cormac Brick from …

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Vision Processing Opportunities in Virtual Reality

VR (virtual reality) systems are beginning to incorporate practical computer vision techniques, dramatically improving the user experience as well as reducing system cost. This article provides an overview of embedded vision opportunities in virtual reality systems, such as environmental mapping, gesture interface, and eye tracking, along with implementation details. It also introduces an industry alliance …

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Vision Processing Opportunities in Drones

UAVs (unmanned aerial vehicles), commonly known as drones, are a rapidly growing market and increasingly leverage embedded vision technology for digital video stabilization, autonomous navigation, and terrain analysis, among other functions. This article reviews drone market sizes and trends, and then discusses embedded vision technology applications in drones, such as image quality optimization, autonomous navigation, …

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“Dataflow: Where Power Budgets Are Won and Lost,” a Presentation from Movidius

Sofiane Yous, Principal Scientist in the machine intelligence group at Movidius, presents the "Dataflow: Where Power Budgets Are Won and Lost" tutorial at the May 2016 Embedded Vision Summit. This presentation showcases stories from the front lines in the battle between power and performance in embedded vision, deep learning and computational imaging applications. First, Youse …

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“Getting from Idea to Product with 3D Vision,” a Presentation from Intel and MathWorks

Anavai Ramesh, Senior Software Engineer at Intel, and Avinash Nehemiah, Product Marketing Manager for Computer Vision at MathWorks, present the "Getting from Idea to Product with 3D Vision" tutorial at the May 2016 Embedded Vision Summit. To safely navigate autonomously, cars, drones and robots need to understand their surroundings in three dimensions. While 3D vision …

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Deep Learning for Object Recognition: DSP and Specialized Processor Optimizations

Neural networks enable the identification of objects in still and video images with impressive speed and accuracy after an initial training phase. This so-called "deep learning" has been enabled by the combination of the evolution of traditional neural network techniques, with one latest-incarnation example known as a CNN (convolutional neural network), by the steadily increasing …

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“Accelerating Deep Learning Using Altera FPGAs,” a Presentation from Intel

Bill Jenkins, Senior Product Specialist for High Level Design Tools at Intel, presents the "Accelerating Deep Learning Using Altera FPGAs" tutorial at the May 2016 Embedded Vision Summit. While large strides have recently been made in the development of high-performance systems for neural networks based on multi-core technology, significant challenges in power, cost and, performance …

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“Real-world Vision Systems Design: Challenges and Techniques,” a Presentation from Intel

Yury Gorbachev, Principal Engineer at Itseez (now part of Intel), presents the "Real-world Vision Systems Design: Challenges and Techniques" tutorial at the May 2016 Embedded Vision Summit. Computer vision is central to many modern, cool products and technologies, including augmented reality, virtual reality and drones. Thanks to recent advances in system-on-chip and embedded systems design, …

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OpenCL Streamlines FPGA Acceleration of Computer Vision

The substantial resources available in modern programmable logic devices, in some cases including embedded processor cores, makes them strong candidates for implementing vision-processing functions. The rapidly maturing OpenCL framework enables the rapid and efficient development of programs that execute across programmable logic fabric and other heterogeneous processing elements within a system. As mentioned in the …

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“OpenCV for Embedded: Lessons Learned,” a Presentation from Intel

Yury Gorbachev, Principal Engineer at Itseez (now part of Intel), presents the "OpenCV for Embedded: Lessons Learned" tutorial at the May 2015 Embedded Vision Summit. OpenCV is the most widely used software component library for computer vision. Initially used mainly for algorithm development and prototyping, in recent years OpenCV has also been used extensively for …

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“Efficient Implementation of Convolutional Neural Networks using OpenCL on FPGAs,” a Presentation From Altera

Deshanand Singh, Director of Software Engineering at Altera, presents the "Efficient Implementation of Convolutional Neural Networks using OpenCL on FPGAs" tutorial at the May 2015 Embedded Vision Summit. Convolutional neural networks (CNN) are becoming increasingly popular in embedded applications such as vision processing and automotive driver assistance systems. The structure of CNN systems is characterized …

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Sorting Out Embedded Vision Systems

This article was originally published on June 10, 2015 at Altera's website. It is reprinted here with the permission of Altera. Papers at this year’s Embedded Vision Summit suggested the vast range of ways that embedded systems can employ focused light as an input, and the even vaster range of algorithms and hardware implementations they …

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Smart Exterior Cameras Enhance Vehicle Safety, Security

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Cameras installed in various locations around a vehicle exterior, in combination with cost-effective, powerful and energy-efficient processors, deliver numerous convenience and protection benefits. The advanced driver assistance systems (ADAS) market is one of the …

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Smart Exterior Cameras Enhance Vehicle Safety, Security

This article was originally published at John Day's Automotive Electronics News. It is reprinted here with the permission of JHDay Communications. Cameras installed in various locations around a vehicle exterior, in combination with cost-effective, powerful and energy-efficient processors, deliver numerous convenience and protection benefits. The advanced driver assistance systems (ADAS) market is one of the …

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OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors

OpenCL™, a maturing set of programming languages and APIs from the Khronos Group, enables software developers to efficiently harness the profusion of diverse processing resources in modern SoCs, in an abundance of applications including embedded vision. Computer scientists describe computer vision, the use of digital processing and intelligent algorithms to interpret meaning from still and …

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OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors

OpenCL™, a maturing set of programming languages and APIs from the Khronos Group, enables software developers to efficiently harness the profusion of diverse processing resources in modern SoCs, in an abundance of applications including embedded vision. Computer scientists describe computer vision, the use of digital processing and intelligent algorithms to interpret meaning from still and …

OpenCL Eases Development of Computer Vision Software for Heterogeneous Processors Read More +

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The preeminent event for practical, deployable computer vision and visual AI, for product creators who want to bring visual intelligence to products.

Here you’ll find a wealth of practical technical insights and expert advice to help you bring AI and visual intelligence into your products without flying blind.

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