Intel

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

Algorithms, Intel, Processors, Security, Sensors and Cameras, Software, Summit 2018, Tools, Videos /

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

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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

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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

Algorithms, Articles, Cadence, Edge AI and Vision Alliance, Intel, NXP Semiconductors, Processors, Software, Technical Articles, Tools, VeriSilicon /

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

OpenVX Enhancements, Optimization Opportunities Expand Vision Software Development Capabilities Read More +

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

Intel /

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. Ideal for makers and educators as well as hardware prototyping and software development, the new depth cameras come in

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

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Intel and Mobileye Offer Formula to Prove Safety of Autonomous Vehicles

Intel /

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. His solution, published in an academic paper and a layman’s summary paper, provides a formal, mathematical formula to ensure that

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

Intel /

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

Algorithms, Intel, Processors, Software, Tools, Videos /

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

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

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

Algorithms, Intel, Processors, Software, Tools, Videos /

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

Algorithms, Intel, Processors, Sensors and Cameras, Software, Tools, Videos /

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 +

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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