This blog post was originally published at Ambarella’s website. It is reprinted here with the permission of Ambarella. Fifteen years ago, before we were acquired by Ambarella and became one of the company’s automotive R&D centers, VisLab sent four driverless vehicles from Parma to Shanghai. Traveling over 15,000 kilometers from July to October of 2010, […]
This blog post was originally published at Nota AI’s website. It is reprinted here with the permission of Nota AI. Delivers real-time AI performance on edge devices such as smartphones, IoT devices, and embedded systems. Introduces a novel “Reuse Attention” technique that minimizes redundant computations in Multi-Head Attention. Achieves competitive accuracy and significant inference speed
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. If you develop facial recognition software, you spend most of your time and effort maximizing performance, accuracy and precision. Your customers expect high performance, even when running on low-power edge devices like point-of-sale (POS) terminals, kiosks and
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. Autonomous Mobile Robots (AMRs) are being deployed across industries, from warehouses and hospitals to logistics and retail, thanks to embedded vision systems. See how cameras are integrated into AMRs so that they can quickly and
How Embedded Vision Is Shaping the Next Generation of Autonomous Mobile Robots Read More +
This blog post was originally published at NVIDIA’s website. It is reprinted here with the permission of NVIDIA. The age of video analytics AI agents is here. Video is one of the defining features of the modern digital landscape, accounting for over 50% of all global data traffic. Dominant in media and increasingly important for
This blog post was originally published at Digica’s website. It is reprinted here with the permission of Digica. Deploying AI models on mobile and embedded devices is a challenge that goes far beyond just converting a trained model. While frameworks like PyTorch offer a streamlined way to develop deep learning models, efficiently deploying them on
Effortless Edge Deployment of AI Models with Digica’s AI SDK (Featuring ExecuTorch) Read More +
This blog post was originally published at Namuga Vision Connectivity’s website. It is reprinted here with the permission of Namuga Vision Connectivity. As drone technology becomes more accessible and widespread, it’s important to get familiar with the basic terms that define how drones work and how we control them. Whether you’re a hobbyist, a content
Key Drone Terminology: A Quick Guide for Beginners Read More +
This blog post was originally published at EyePop.ai’s website. It is reprinted here with the permission of EyePop.ai. Want to deploy AI models to the edge without the cloud? On this special LIVE podcast hosted by OpenCV, Andy Ballester and Blythe Towal show how EyePop.ai is enabling real-time, offline inference with Snapdragon NPUs from Qualcomm.
Build & Deploy AI Vision Models for Windows on Snapdragon: OpenCV Live! Podcast Read More +
This blog post was originally published at Qualcomm’s website. It is reprinted here with the permission of Qualcomm. To simplify the development of applications for Qualcomm Dragonwing products, Qualcomm Technologies, Inc. has introduced the Qualcomm Visual Studio Code Extension. This innovative extension provides a streamlined, end-to-end environment that enhances your workflow across various tools and
This blog post was originally published at e-con Systems’ website. It is reprinted here with the permission of e-con Systems. When objects move fast, typical imaging sensors deal with motion blur, artifacts, and sensitivity issues. But these can be overcome with Sony IMX900’s quad-pixel shutter control. Learn how it enables the 100K fps feature and
Unlocking the Power of 100,000 fps: How Quad-pixel Shutter Control Works Read More +
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