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2020 Vision Product of the Year Award Winner Showcase: iniVation (Cameras and Sensors)

iniVation’s Dynamic Vision Platform is the 2020 Vision Product of the Year Award Winner in the Cameras and Sensors category. The Dynamic Vision Platform by iniVation is the world’s most advanced complete neuromorphic vision system, enabling solution developers to create systems with unprecedented performance. It combines patented sensor technology with a high-performance software toolkit. The […]

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Edge AI and Vision Alliance Announces 2020 Vision Product of the Year Award Winners

Awards Honoring Innovation and Achievement in Computer Vision and Visual AI SANTA CLARA, Calif. – June 3, 2020 /PRNewswire/ – The Edge AI and Vision Alliance today announced the 2020 winners of the Vision Product of the Year Awards. The Awards recognize the innovation and excellence of the industry’s leading technology companies that are enabling

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2020 Vision Product of the Year Award Winner Showcase: Intel (Developer Tools)

Intel’s DevCloud for the Edge is the 2020 Vision Product of the Year Award Winner in the Developer Tools category. The Intel® DevCloud for the Edge allows you to virtually prototype and experiment with AI workloads for computer vision on the latest Intel edge inferencing hardware, with no hardware setup required since the code executes

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2020 Vision Product of the Year Award Winner Showcase: Morpho (AI Software and Algorithms)

Morpho’s Semantic Filtering is the 2020 Vision Product of the Year Award Winner in the Software and Algorithms category. Semantic Filtering is new IP from Morpho which improves camera image quality by combining the best of AI-based segmentation and pixel processing filters. In conventional imaging, computational photography algorithms are typically applied to the entire image,

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2020 Vision Product of the Year Award Winner Showcase: NVIDIA (AI Processors)

NVIDIA’s Jetson Nano is the 2020 Vision Product of the Year Award Winner in the AI Processors category. NVIDIA’s Jetson Nano delivers the power of modern AI in the smallest supercomputer for embedded and IoT. Jetson Nano is a small form factor, power-efficient, low-cost and production-ready System on Module (SOM) and Developer Kit that opens

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When Even Finest Details Matter: uEye SE Cameras with 20 MP Sony Sensor

Rolling shutter sensor IMX183 now also available as IDS board-level cameras March 16, 2020 – The smallest details must be detected precisely in many applications requiring surface inspection or measurement. Light-sensitive and extremely high-resolution sensors such as the IMX183 from Sony are the best choice here. The resolution of 5536 x 3692 pixels also enables

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Gyrfalcon’s Lightspeeur 5801 is Named as a Top 10 Processor for AI Acceleration at the Endpoint in 2020 by EE Times

Gyrfalcon uses a processor-in-memory technique that is particularly power-efficient compared with other architectures for high performance Edge AI with low energy use MILPITAS, Calif., May 21, 2020 /PRNewswire/ — Gyrfalcon Technology, Inc. (GTI) designed the 4th generation, best of breed neural accelerator specifically for mass market IoT and Edge AI Devices. EE Times writes: “Designed for

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Basler Introduces Embedded Vision Solutions for the NVIDIA Jetson Platform

Basler launched an Embedded Vision Development Kit and two Add-on Camera Kits with BCON for MIPI interface for NVIDIA® Jetson™, the comprehensive AI platform for autonomous machines. As a Preferred Partner of NVIDIA, Basler now offers fully integrated hardware and software packages for the Jetson family. Ahrensburg, June 2, 2020 – Basler, a leading global

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FLIR Releases First European Thermal Imaging Dataset for Automotive Driver Assistance Development

Innovative Dataset Extends the Geographic Reach for Researchers and Developers to Accelerate Machine Vision Testing of Thermal Sensors for Automotive Use ARLINGTON, Va. – May 27, 2020 – FLIR Systems, Inc. today announced the availability of its first European thermal imaging regional dataset and the third in a series of thermal imaging datasets for machine

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Intel Works with University of Pennsylvania in Using Privacy-Preserving AI to Identify Brain Tumors

What’s New: Intel Labs and the Perelman School of Medicine at the University of Pennsylvania (Penn Medicine) are co-developing technology to enable a federation of 29 international healthcare and research institutions led by Penn Medicine to train artificial intelligence (AI) models that identify brain tumors using a privacy-preserving technique called federated learning. Penn Medicine’s work

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