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Now available—the Embedded Vision Summit On-Demand Edition! Gain valuable computer vision and edge AI insights and know-how from the experts at the 2021 Summit.

Autonomous Self-Driving Technology in Greenhouses and Outdoors

Autonomous self-driving greenhouse tow-tractors with Cyberworks Robotics retrofit system based on Intel RealSense cameras For Fernlea Flowers, implementing AGV tractors was key to providing a safe working environment for their employees while improving efficiencies and order fulfilment. Retrofitting these vehicles for autonomous driving ensures safe working distances can be maintained without sacrificing efficiency while minimising …

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Enabling AI Vision at the Edge

This article was originally published at OpenFive’s website. It is reprinted here with the permission of OpenFive. Computer vision has made tremendous advances in the last several years due to the proliferation of AI technology. The intersection of big data and massive parallel computing changed the way in which machines are programmed to understand unstructured …

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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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Coherent Logix Configures Edge AI

This technical article was originally published on The Linley Group website on behalf of Coherent Logix. It is reprinted here with the permission of The Linley Group and Coherent Logix. After spending 15 years targeting military/aerospace, software-defined radios (SDRs), and other niche applications, Coherent Logix is expanding into the commercial edge-AI market. Customers have deployed …

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Implementing a Real-time, AI-Based, Face Mask Detector Application for COVID-19

This technical article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Businesses are constantly overhauling their existing infrastructure and processes to be more efficient, safe, and usable for employees, customers, and the community. With the ongoing pandemic, it’s even more important to have advanced analytics apps and services …

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Enhancing Robotic Applications with the NVIDIA Isaac SDK 3D Object Pose Estimation Pipeline

This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. In robotics applications, 3D object poses provide crucial information to downstream algorithms such as navigation, motion planning, and manipulation. This helps robots make intelligent decisions based on surroundings. The pose of objects can be used by a …

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Face Mask Detection in Street Camera Video Streams Using AI: Behind the Curtain

This article was originally published at Tryolabs’ website. It is reprinted here with the permission of Tryolabs. In the new world of coronavirus, multidisciplinary efforts have been organized to slow the spread of the pandemic. The AI community has also been a part of these endeavors. In particular, developments for monitoring social distancing or identifying …

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Algolux Shares Key Observations With ADAS Community, Reaffirms Commitment to Safety & AI Technology

This article was originally published by AutoVision News on behalf of Agolux. It is reprinted here with the permission of AutoVision News and Algolux. Algolux has taken home the top award from the 2020 Tech.AD Europe Conference, based on voting by members of the automotive and autonomous vehicle industries. The company’s Eos Embedded Perception Software …

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Training with Custom Pretrained Models Using the NVIDIA Transfer Learning Toolkit

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. Supervised training of deep neural networks is now a common method of creating AI applications. To achieve accurate AI for your application, you generally need a very large dataset especially if you create… Training with Custom Pretrained Models …

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Speeding Up Deep Learning Inference Using TensorRT

This article was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. This is an updated version of How to Speed Up Deep Learning Inference Using TensorRT. This version starts from a PyTorch model instead of the ONNX model, upgrades the sample application to use TensorRT 7, and replaces the …

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