TECHNOLOGIES

Qualcomm Redefines Premium at Snapdragon Tech Summit Digital 2020

New Mobile Platform, Snapdragon 888, to Power the Next Era of Flagship Devices December 1, 2020 – San Diego – During the first day of the Snapdragon Tech Summit Digital, Qualcomm Incorporated President, Cristiano Amon took the virtual stage with global industry leaders to highlight the critical role Qualcomm® Snapdragon™ 8-Series mobile platforms have played […]

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Basler Cameras for Android Applications

Thanks to the Basler pylon software, the Basler computer vision portfolio can now also be used for applications on mobile Android systems. Ahrensburg, December 01, 2020 – Basler now offers the pylon software for its ace, ace 2, dart, and pulse cameras for Android systems, enabling developers to explore new mobile applications with professional computer

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“OpenCV: Rapid Growth and Evolution Beyond the Library,” a Presentation from OpenCV

Dr. Satya Mallick, CEO of OpenCV.org and OpenCV.ai, presents the “OpenCV: Rapid Growth and Evolution Beyond the Library” tutorial at the September 2020 Embedded Vision Summit. The last 20 years of OpenCV were dedicated to building the world’s largest high-performance computer vision library. Now, the organization is fast expanding beyond the flagship library to better

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“Embedded Vision for Autonomous Drones,” an Alliance Conversation with Skydio

Jeff Bier, Founder of the Edge AI and Vision Alliance, interviews Hayk Martiros, Head of Autonomy at Skydio, about the critical technical challenges for implementing embedded vision in autonomous drones that operate under difficult, real-world conditions. Skydio is hiring! The company is the leading U.S. drone manufacturer and world leader in autonomous flight. Skydio leverages

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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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“Deploying Deep Learning Applications on FPGAs with MATLAB,” a Presentation from MathWorks

Jack Erickson, Principal Product Marketing Manager at MathWorks, presents the “Deploying Deep Learning Applications on FPGAs with MATLAB” tutorial at the September 2020 Embedded Vision Summit. Designing deep learning networks for embedded devices is challenging because of processing and memory resource constraints. FPGAs present an even greater challenge due to the complexity of programming in

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“How to Create Your Own AI-Enabled Camera Solution in Days,” a Presentation from IDS Imaging Development Systems

Carsten Traupe, Director of Product Management at IDS Imaging Development Systems, presents the “How to Create Your Own AI-Enabled Camera Solution in Days” tutorial at the September 2020 Embedded Vision Summit. Cameras coupled with AI can solve numerous real-world problems. But developing an AI camera solution can be a complex and time-consuming undertaking, especially for

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“Lessons Learned from the Deployment of Deep Learning Applications In Edge Devices,” a Presentation from Hailo

Orr Danon, Founder and CEO of Hailo, presents the “Lessons Learned from the Deployment of Deep Learning Applications In Edge Devices” tutorial at the September 2020 Embedded Vision Summit. Edge applications have tough, widely varying requirements. Danon shares lessons learned from three real-world applications in which Hailo’s deep learning processor is being used to implement

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Seeing is Believing — AI-Powered Camera Sensors

This blog post is an abridged version of the Gyrfalcon white paper “AI-Powered Camera Sensors”. Computing at the Edge: Smart Cameras, Robotic Vehicles and End-Point Devices Visual data has grown volumetrically – Artificial Intelligence (AI) is transforming overwhelming amounts of video into timely and actionable intelligence at a rate like never before. AI-powered cameras at

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DNN Model Optimization Series Part II: Model Compression – Top 10 Questions Answered

This blog post was originally published at Deeplite’s website. It is reprinted here with the permission of Deeplite. As discussed in our previous blog post, compressing large deep learning models will pave the way for many new AI applications and enable AI to assist our everyday lives. This makes model compression a hot research area,

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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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