Intel

Intel Demonstration of Scalable Deep Learning-based Face Detection and Recognition with FPGAs

Intel, Summit 2018, Videos /

Richard Chuang, Global Platform Solutions Architect at Intel, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Chuang demonstrates an end-to-end face detection and recognition reference solution using the OpenVINO toolkit. Four primary algorithms are running in this demo system on top of OpenVINO: face detection, landmark detection, feature extraction, and face […]

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Intel Demonstration of High Performance Vision Deployment – The OpenVINO Toolkit in Action

Intel, Summit 2018, Videos /

Soren Knudsen, Video and Software Ecosystem Accelerant at Intel, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Knudsen demonstrates how you can get top performance for vision solutions using Intel’s OpenVINO™ toolkit (open visual inference and neural network optimization), part of the Intel® Vision Products portfolio. View heterogeneous workload performance across

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Intel Demonstration of Flexible Options to Speed Vision Workloads – A Heterogeneous Approach

Intel, Summit 2018, Videos /

Jeffrey McAllister, Technical Consulting Engineer at Intel, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, McAllister demonstrates how with Intel’s OpenVINO™ toolkit, (open visual inference and neural network optimization), you can boost workload performance with easy heterogeneous execution across multiple types of Intel® platforms (CPU, CPU with integrated graphics, FPGAs, and

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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

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

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 and Cameras, 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 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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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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