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Intel

Intel Demonstration of Deep Learning Inference Performance at the Edge with the OpenVINO Toolkit

Intel, Summit 2018, Videos /

Saumya Satish, from the Computer Vision team at Intel, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Satish discusses how developers can build high performance computer vision applications and integrate deep learning inference with Intel’s OpenVINO™ (open visual inference and neural network optimization) toolkit. The toolkit helps streamline deep learning deployments […]

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Intel Demonstration of its RealSense Depth Camera D400 Family

Intel, Summit 2018, Videos /

Brian Pruitt, Director of Peripheral Segment at Intel, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Pruitt provides a quick preview of the latest Intel® RealSense™ Depth Technologies, including touching upon the SDK capabilities. To learn more, please visit http://RealSense.intel.com.

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Intel Demonstration of Ultra-Low Power Imaging, Vision and Embedded Neural Networks with the Myriad X VPU

Intel, Summit 2018, Videos /

Lucian Vancea, Engineering Manager at Intel, demonstrates the company’s latest embedded vision technologies and products at the May 2018 Embedded Vision Summit. Specifically, Vancea presents two live demonstrations of the Intel® Movidius™ Myriad™ X VPU, and its ability to deliver neural network, computer vision and imaging workloads with high performance, and at ultra-low power. Modern

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

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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

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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

Algorithms, Intel, Processors, Sensors, Software, Summit 2018, Tools, Videos /

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

Algorithms, Intel, Processors, Security, Sensors, 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

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

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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 +

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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