Summit

Synopsys Demonstration of ASIL-D Ready DesignWare ARC EV6x Embedded Vision Processor IP for Safe Auto SoCs

Gordon Cooper, Product Marketing Manager at Synopsys, demonstrates the company’s latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Cooper demonstrates the ARC EV6x Embedded Vision Processor with Safety Enhancement Package (SEP). In the demo, the EV6x is used for drowsiness detection, object detection, and lane detection for safety-critical automotive applications. […]

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Synopsys and Inuitive Demonstration of DesignWare ARC EV6x Processor IP in NU4000 SoC

Gordon Cooper, EV Product Marketing Manager at Synopsys, and Dor Zepeniuk, CTO and VP Products at Inuitive, demonstrates the companies’ latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Cooper and Zepeniuk demonstrate Inuitive’s NU4000 3D imaging and vision processor. The ARC EV6x Embedded Vision Processor IP, which powers the NU4000,

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BDTI Demonstration of Computer Vision Algorithm Evaluation and Selection

Jeremy Giddings, director of business development at BDTI, demonstrates the company’s latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Giddings shows the detailed approach BDTI takes in evaluating and selection computer vision algorithms for its clients. One of BDTI’s clients, a major consumer products manufacturer, needed a background subtraction algorithm

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VeriSilicon Demonstration of Product-proven Vivante NPU IP Solutions

Kainan Cha, Vice President of Vision Application Software at VeriSilicon, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Cha demonstrates multiple SoCs, powered by Vivante NPU IP solutions, which are used in a wide range of camera, surveillance and smart home products.

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Intel Demonstration of Taking AI to Production

Kenneth Craft, Technical Consulting Engineer at Intel, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Craft demonstrates making industrial applications using Intel's OpenVINO Toolkit and System Studio. Intel's OpenVINO Toolkit enables optimization of deep learning inference for object flaw detection. System-wide visual performance profiling through the Intel

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Intel Demonstration of Vision Inference Acceleration with FPGAs

Robert Garrett, Sales and Business Development Manager at Intel, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Garrett demonstrates how an Intel FPGA card and OpenVINO toolkit can be used to accelerate vision inference where people are detected, identified, and tracked across multiple camera feeds. The design

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Intel Demonstration of Running Mixed Deep Learning Workloads on CPU-plus-Movidius VPU Devices

Akshatha Kini, Product Application Engineer at Intel, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Kini demonstrates running multiple deep learning-based computer vision applications in parallel. The first application shows face detection and face recognition, along with age and gender identification. The second application is running face

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Intel Demonstration of Applied Depth Sensing and Tracking Technology for Real-world Applications

Brian Pruitt, RealSense Peripheral Segment Director at Intel, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Pruitt demonstrates a variety of Intel RealSense® vision-based solutions designed to give your products the ability to understand the world in 3D. Intel® RealSense is shaping the future of technology by

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Xnor.ai Demonstration of Person Detection Deep Learning Running On an Intel Core i5 CPU

Ian Turner, Product Engineer at Xnor.ai, demonstrates the company’s latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Turner demonstrates Xnor’s person detection deep learning model running on an Intel IEI Tank, which contains an Intel i5 6500 TE CPU. Traditionally, AI models have required expensive GPUs, but this demonstration shows

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Algolux and Intel IoT Group Demonstration of Robust Computer Vision and OpenVINO Path to Production

Dave Tokic, Vice President of Marketing at Algolux, and Gary Brown, Director of AI Marketing in Intel's IoT Group, demonstrates the companies' latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Tokic and Brown demonstrate how they have come together to provide industry-leading computer vision accuracy and robustness across all conditions

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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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Berkeley Design Technology, Inc.
PO Box #4446
Walnut Creek, CA 94596

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Phone: +1 (925) 954-1411
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