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Machine Learning On Edge Devices: Benchmark Report

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. Why edge computing? Humans are generating and collecting more data than ever. We have devices in our pockets that facilitate the creation of huge amounts of data, such as photos, gps coordinates, audio, and all kinds of personal […]

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Embedded Vision Insights: November 5, 2019 Edition

LETTER FROM THE EDITOR Dear Colleague, Next Wednesday, November 13 at 10 am PT, Renesas Electronics America will deliver the free webinar "Renesas' Dynamically Reconfigurable Processor (DRP) Technology Enables a Hybrid Approach for Embedded Vision Solutions" in partnership with the Embedded Vision Alliance. DRP technology, built into select Arm Cortex-based RZ Family MPUs, accelerates image

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Hailo Demonstration of Detection with High Power Efficiency Using the Hailo-8 DL Processor

Liran Bar, Director of Product Marketing at Hailo, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Bar demonstrates detection with high power efficiency using the Hailo-8 DL processor for edge devices. The Hailo-8 DL processor for edge devices features up to 26 TOPS and significantly outperforms all

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Hailo Demonstration of Classification with High Power Efficiency Using the Hailo-8 DL Processor

Liran Bar, Director of Product Marketing at Hailo, demonstrates the company's latest embedded vision technologies and products at the 2019 Embedded Vision Summit. Specifically, Bar demonstrates classification with high power efficiency using the Hailo-8 DL processor for edge devices. The Hailo-8 DL processor for edge devices features up to 26 TOPS and significantly outperforms all

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Nextchip Demonstration of Surround View Monitoring (SVM) Software

Seong-Yul (James) Kim, Marketing Team Leader for Nextchip, delivers a product demonstration at the May 2019 Embedded Vision Summit. Specifically, Kim demonstrates Surround View Monitoring (SVM) software with capabilities including detection and segmentation of 4 cameras in a single SoC. The software is developed by Nextchip subsidiary VADAS.

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Cloud and Edge Vision Processing Options for Deep Learning Inference

Should deep learning-based computer vision processing take place in the cloud, at the edge, or both? This seemingly simple question has a complicated answer: "it depends." This article provides perspectives on the various factors you should consider, and with what priorities, when making this implementation decision for your particular project's requirements. THe Edge-Centric Inference Evolution

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New Embedded Vision Systems with Quad-core Processors

October 30, 2019 – Vision Components premiered the first prototype of its latest generation of embedded vision systems offering a substantial performance boost at Embedded VISION Europe in Stuttgart, Germany, on October 24, 2019. The onboard quad-core processor, Qualcomm's Snapdragon 410, is clocked at 1.2 GHz. The board camera features a Gbit Ethernet interface, 12

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Horizon Robotics Demonstration of the Company’s Localization and Mapping Technology

George Totolos, business development manager at Horizon Robotics, delivers a product demonstration at the May 2019 Embedded Vision Summit. Totolos showcases Horizon's localization and mapping technology running on top of a Horizon Matrix 1.7 system. Totolos explains that Navnet works while requiring only a mono camera and is generating a point cloud map without the

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Horizon Robotics Demonstration of the Matrix Perception Platform

George Totolos, business development manager at Horizon Robotics, delivers a product demonstration at the May 2019 Embedded Vision Summit. Totolos showcases Horizon's Matrix perception platform, winner of an Embedded Vision Alliance Vision Product of the Year award. The Matrix is a turnkey detection and classification solution using an FPGA-based implementation of Horizon's proprietary hardware in

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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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