LETTER FROM THE EDITOR Dear Colleague, Time is running out! Today is the last day to save 15% on your 2018 Embedded Vision Summit registration pass with our Early Bird Discount. Don’t miss the chance to accelerate your learning curve and uncover practical techniques in computer vision by attending some of our 80+ “how-to” sessions. […]
Embedded Vision Insights: April 10, 2018 Edition Read More +
Matt King, Chief Technology Officer at IUNU, delivers the presentation "Instrumenting Greenhouses as Data-driven Manufacturing Facilities" at the Embedded Vision Alliance's March 2018 Vision Industry and Technology Forum. King explains how his company is enabling increased efficiency in commercial greenhouses using robotic cameras, computer vision and machine learning.
Fei Sun, software engineer at Facebook, delivers the presentation "The Caffe2 Framework for Mobile and Embedded Deep Learning" at the Embedded Vision Alliance's March 2018 Vision Industry and Technology Forum. Sun introduces Caffe2, a new open-source machine learning framework, and explains how Facebook is using it to enable computer vision in mobile and embedded devices.
LETTER FROM THE EDITOR Dear Colleague, Keeping up with the rapid pace of vision technology advances can be overwhelming. Accelerate your learning curve and uncover practical techniques in computer vision by attending some of our 80+ "how-to" sessions at the 2018 Embedded Vision Summit, taking place May 21-24 in Santa Clara, California. You'll learn about
Embedded Vision Insights: March 27, 2018 Edition 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 +
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 +
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 +
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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