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Home Surveillance and Security Without the Hassle

Fisheye dewarping with no need to install an app: this solution works directly with the WebGL API and on popular browsers for computers and mobile devices, as long as they support HTML5. Convenience and ease-of-use should be watchwords for the development of all products, yet many of them stumble right out of the blocks by […]

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EDGECORTIX Partners with PALTEK to Bring Edge AI Hardware Acceleration Solutions to Market

TOKYO, Feb. 5, 2021 /PRNewswire/ — Edgecortix Inc. (Headquarters: okyo, Japan, CEO: Sakyasingha Dasgupta, hereinafter called “EdgeCortix”) has signed a partnership with PALTEK Corporation (Headquarters: Yokohama, Japan, President: Naohide Yabuki, Securities Code: 7587, hereinafter called “PALTEK”), which sells and designs semiconductors and related products. Since its founding in 1982, PALTEK has used FPGAs to provide product

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“Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild,” a Presentation from Skydio

Hayk Martiros, Head of Autonomy at Skydio, presents the “Tackling Extreme Visual Conditions for Autonomous UAVs In the Wild” tutorial at the September 2020 Embedded Vision Summit. Skydio ships autonomous robots that are flown at scale in complex, unknown environments every day to capture incredible video, automate dangerous inspections and save lives of first responders.

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Accelerating AI-Defined Cars

Convergence of Edge Computing, Machine Vision and 5G-Connected Vehicles Today’s societies are becoming ever more multimedia-centric, data-dependent, and automated. Autonomous systems are hitting our roads, oceans, and air space. Automation, analysis, and intelligence is moving beyond humans to “machine-specific” applications. Computer vision and video for machines will play a significant role in our future digital

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Khronos Releases SYCL 2020 Specification

Major update includes dozens of new features and closer alignment with ISO C++. Significant SYCL adoption in embedded, desktop, and HPC markets. Beaverton, OR – February 9, 2021 – Today, The Khronos® Group, an open consortium of industry-leading companies creating advanced interoperability standards, announces the ratification and public release of the SYCL™ 2020 final specification—the

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“Improving Power Efficiency for Edge Inferencing with Memory Management Optimizations,” a Presentation from Samsung

Nathan Levy, Project Leader at Samsung, presents the “Improving Power Efficiency for Edge Inferencing with Memory Management Optimizations” tutorial at the September 2020 Embedded Vision Summit. In the race to power efficiency for neural network processing, optimizing memory use to reduce data traffic is critical. Many processors have a small local memory (typically SRAM) used

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Lattice FPGAs Power Real-Time Radar Adapter Cards

This blog post was originally published at Lattice Semiconductor’s website. It is reprinted here with the permission of Lattice Semiconductor. If you were to ask them (and I have), you would discover that many people think of radar in the context of things like airplanes and ships and the evening weather forecast on TV. As

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Free Webinar Explores Enabling Small Form Factor, Anti-tamper, High-reliability, Fanless AI and ML

On March 25, 2021 at 9 am PT (noon ET), Diptesh Nandi, Product Marketing Manager in the FPGA Business Unit at Microchip Technology, will present the free half-hour webinar “Enabling Small Form Factor, Anti-tamper, High-reliability, Fanless Artificial Intelligence and Machine Learning,” organized by the Edge AI and Vision Alliance. Here’s the description, from the event

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Building and Deploying a Face Mask Detection Application Using NGC Collections

This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. AI workflows are complex. Building an AI application is no trivial task, as it takes various stakeholders with domain expertise to develop and deploy the application at scale. Data scientists and developers need easy access to software

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“Using an ISP for Real-time Data Augmentation,” a Presentation from Pony.AI

Timofey Uvarov, Camera System Lead at Pony.AI, presents the “Using an ISP for Real-time Data Augmentation” tutorial at the September 2020 Embedded Vision Summit. Image signal processors (ISPs) are tasked with processing raw pixels delivered by image sensors in order to optimize the quality of images. In computer vision applications, much attention is focused on

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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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