Newsletters

LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Alliance is performing research to better understand what types of technologies are needed by product developers who are incorporating computer vision in new systems and applications. To help guide suppliers in creating the technologies that will be most useful to you, please take a few minutes […]

LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit is the preeminent conference on practical computer vision, covering applications from the edge to the cloud. It attracts a global audience of over one thousand product creators, entrepreneurs and business decision-makers who are creating and using computer vision technology. The Embedded Vision Summit has experienced

LETTER FROM THE EDITOR Dear Colleague, Deep neural networks (DNNs) are proving very effective for a variety of challenging machine perception tasks, but these algorithms are very computationally demanding. To enable DNNs to be used in practical applications, it’s critical to find efficient ways to implement them. The Embedded Vision Alliance will delve into these

LETTER FROM THE EDITOR Dear Colleague, Deep neural networks (DNNs) are proving very effective for a variety of challenging machine perception tasks, but these algorithms are very computationally demanding. To enable DNNs to be used in practical applications, it’s critical to find efficient ways to implement them. The Embedded Vision Alliance will delve into these

LETTER FROM THE EDITOR Dear Colleague, TensorFlow has become a popular framework for creating machine learning-based computer vision applications, especially for the development of deep neural networks (DNNs). If you’re planning to develop computer vision applications using deep learning and want to understand how to use TensorFlow to do it, then don’t miss an upcoming

LETTER FROM THE EDITOR Dear Colleague, TensorFlow has become a popular framework for creating machine learning-based computer vision applications, especially for the development of deep neural networks. If you’re planning to develop computer vision applications using deep learning and want to understand how to use TensorFlow to do it, then don’t miss an upcoming full-day,

COMPUTER VISION FOR IMAGE UNDERSTANDING Semantic Segmentation for Scene Understanding: Algorithms and Implementations Recent research in deep learning provides powerful tools that begin to address the daunting problem of automated scene understanding. Modifying deep learning methods, such as CNNs, to classify pixels in a scene with the help of the neighboring pixels has provided very

COMPUTER VISION FOR IMAGE UNDERSTANDING Semantic Segmentation for Scene Understanding: Algorithms and Implementations Recent research in deep learning provides powerful tools that begin to address the daunting problem of automated scene understanding. Modifying deep learning methods, such as CNNs, to classify pixels in a scene with the help of the neighboring pixels has provided very

DEEP LEARNING FOR VISION Software Frameworks and Toolsets for Deep Learning-based Vision Processing Deep learning is an increasingly popular and robust alternative to classical computer vision algorithms. This technical article from the Embedded Vision Alliance and member companies Au-Zone Technologies, BDTI, MVTec, Synopsys and Xilinx covers the leading deep learning software frameworks, the reasons for

DEEP LEARNING FOR VISION Software Frameworks and Toolsets for Deep Learning-based Vision Processing Deep learning is an increasingly popular and robust alternative to classical computer vision algorithms. This technical article from the Embedded Vision Alliance and member companies Au-Zone Technologies, BDTI, MVTec, Synopsys and Xilinx covers the leading deep learning software frameworks, the reasons for