This article was originally published at Texas Instruments’ website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction Computer-vision algorithms used to be quite different from one another. For example, one algorithm would use Hough transforms to detect lines and circles, whereas detecting objects of interest in images would require another technique […]
Embedded Low-power Deep Learning with TIDL Read More +
LETTER FROM THE EDITOR Dear Colleague, We’ve got a lot of exciting things lined up for the 2018 Embedded Vision Summit, newly expanded to a four-day event taking place May 21-24 in Santa Clara, California. From 80+ technical sessions, to 100+ technology demos, to keynote presentations from industry luminaries Dean Kamen and Dr. Takeo Kanade—if
Embedded Vision Insights: March 13, 2018 Edition Read More +
March 1, 2018 – Jon Peddie Research (JPR), the industry's research and consulting firm for graphics and multimedia, today released its latest quarterly report on the Visual Processing Unit (VPU) market. The major interest and activity in the market for Vision Processing Units (VPUs) continues to center on neural networks, both in terms of advances in
Visual Processors and CNN – ST Micro and Videantis Enter the Market Read More +
Deep learning and other machine learning techniques have rapidly become a transformative force in computer vision. Compared to conventional computer vision techniques, machine learning algorithms deliver superior results on functions such as recognizing objects, localizing objects within a frame, and determining which pixels belong to which object. Even problems like optical flow and stereo correspondence,
Data Sets for Machine Learning Model Training Read More +
LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit is the preeminent conference on practical computer vision, covering applications at the edge and in 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
Embedded Vision Insights: February 27, 2018 Edition Read More +
DNNs (deep neural networks) have transformed the field of computer vision, delivering superior results on functions such as recognizing objects, localizing objects within a frame, and determining which pixels belong to which object. Even problems like optical flow and stereo correspondence, which had been solved quite well with conventional techniques, are now finding even better
Implementing Vision with Deep Learning in Resource-constrained Designs Read More +
LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit is the preeminent conference on practical computer vision, covering applications at the edge and in 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
Embedded Vision Insights: February 13, 2018 Edition Read More +
This article was originally published at Synopsys' website. It is reprinted here with the permission of Synopsys. Examples of applications abound where high-performance, low-power embedded vision processors are used: a mobile phone using face recognition to identify a user, an augmented or mixed reality headset identifying your hands and the layout of your living room
Implementing High-performance Deep Learning Without Breaking Your Power Budget Read More +
The ability to "stitch" together (offline or in real-time) multiple images taken simultaneously by multiple cameras and/or sequentially by a single camera, in both cases capturing varying viewpoints of a scene, is becoming an increasingly appealing (if not necessary) capability in an expanding variety of applications. High quality of results is a critical requirement, one
Computer Vision in Surround View Applications Read More +
Companies to Jointly Develop and Deploy Casino Video Analytic Products SAN FRANCISCO, Jan. 30, 2018 (GLOBE NEWSWIRE) — BrainChip Holdings Ltd. (“BrainChip” or the “Company”) (ASX:BRN), a leading developer of software and hardware accelerated solutions for advanced artificial intelligence (AI) and machine learning applications, today announced it has entered into a global licensing, development and
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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