Brian Dipert

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Basler is Launching dart BCON for MIPI Development Kit with Qualcomm’s Snapdragon 820

Basler’s new development kit offers all hardware and software components to get your dart BCON for MIPI camera module up and running. This lets developers create particularly performance-optimized embedded vision systems without integration costs. Ahrensburg, 13 November 2018 – With its new dart BCON for MIPI Development Kit, the camera manufacturer Basler is offering a […]

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Intel Unveils the Intel Neural Compute Stick 2 at Intel AI Devcon Beijing for Building Smarter AI Edge Devices

What’s New: Intel is hosting its first artificial intelligence (AI) developer conference in Beijing on Nov. 14 and 15. The company kicked off the event with the introduction of the Intel® Neural Compute Stick 2 (Intel NCS 2) designed to build smarter AI algorithms and for prototyping computer vision at the network edge. Based on the Intel® Movidius™ Myriad™ X vision

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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. “Intel RealSense technology

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Synopsys Demonstration of Deep Learning Inference and Sparse Optical Flow

Gordon Cooper, product marketing manager at Synopsys, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Cooper demonstrates combining deep learning with traditional computer vision by using the DesignWare EV6x Embedded Vision Processor¹s vector DSP and CNN engine. The tightly integrated CNN engine executes deep learning inference (using TinyYOLO, but any graph

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Synopsys Demonstration of Android Neural Network Acceleration with EV6x

Gordon Cooper, product marketing manager, and Mischa Jonker, software engineer, both of Synopsys, deliver a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Cooper and Jonker demonstrate how the DesignWare EV6x Embedded Vision Processor with deep learning can offload application processor tasks to increase performance and reduce power consumption, using an Android Neural

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Imagination Reveals Next Step in PowerVR Automotive Strategy

15-year automotive veteran’s product package to accelerate growing market London, UK and Tokyo, Japan – 13th November 2018 – Imagination Technologies announces PowerVR Automotive, a complete product package to enable growth and acceleration of the automotive semiconductor industry. Combining five essential elements – hardware IP, software, tools, documentation and long-term support – PowerVR Automotive enables

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Embedded Vision Insights: November 13, 2018 Edition

LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit is the preeminent conference on practical computer vision, covering applications at the edge and in the cloud. It attracts a global audience of over one thousand product creators, entrepreneurs and business decision-makers who are creating and using computer vision technology. The Embedded Vision Summit has

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Cadence Demonstration of On-Device AI for Image Classification

Megha Daga, senior technical marketing manager at Cadence, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Daga demonstrates the highly capable Tensilica Vision P6 DSP, which does both computer vision and AI processing. The demo showcases Cadence’s automatic code generation tool for neural networks, the Xtensa Neural Network Compiler, which accepts

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Cadence Demonstration of On-Device AI for Object Detection

Megha Daga, senior technical marketing manager at Cadence, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Daga demonstrates the power of the Tensilica Vision P6 DSP to perform both computer vision and AI processing. The demo detects all the faces in the camera view using the Tiny Yolo V2 network, and

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Arm Demonstration of Image Classification Using Arm NN and the Compute Library

Gian Marco Iodice, Senior Software Engineer at Arm, delivers a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Iodice demonstrates image classification using Arm NN and the Compute Library, showing how they provide Arm-based platforms with the flexibility to switch between the CPU and GPU for easy and performant image classification.

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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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PO Box #4446
Walnut Creek, CA 94596

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