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Using Calibration to Translate Video Data to the Real World

This article was originally published at NVIDIA's website. It is reprinted here with the permission of NVIDIA. DeepStream SDK 3.0 is about seeing beyond pixels. DeepStream exists to make it easier for you to go from raw video data to metadata that can be analyzed for actionable insights. Calibration is a key step in this

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PathPartner Technology and Synopsys Demonstration of Facial Recognition and Verification

Gordon Cooper, product marketing manager at Synopsys, and Praveen G.B., technical lead for DSP at PathPartner Technology, deliver a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Cooper and Praveen demonstrate PathPartner’s facial recognition/verification model, which accounts for changes in illumination, clothes, occlusion, and expression variations. The model can be run on the

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Inuitive and Synopsys Demonstration of AI Applications with NU4000 SoC

Gordon Cooper, product marketing manager at Synopsys, and Michael Degtyar, field application engineer at Inuitive, deliver a product demonstration at the May 2018 Embedded Vision Summit. Specifically, Cooper and Degtyar demonstrate how Inuitive is using Synopsys¹ EV6x Embedded Vision Processor with CNN Engine in Inuitive’s NU4000 multi-core SoC that supports artificial intelligence, 3D imaging, and

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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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