Newsletters

LETTER FROM THE EDITOR Dear Colleague, We invite you to join us at the Embedded Vision Summit, the only event dedicated entirely to the creation of products and services that see. We’ve curated three immersive days of learning, discovery and networking. We’ll have more than 50 computer vision industry leaders, including: Jeff Bier, President, BDTI […]

LETTER FROM THE EDITOR Dear Colleague, If you're creating systems that see, the Embedded Vision Summit is the place to be! Plan now to join us May 1-3, 2017 in Santa Clara as stakeholders from every corner of the world's embedded vision ecosystem gather to examine the latest advances in computer vision, machine learning, and

LETTER FROM THE EDITOR Dear Colleague, If you're creating systems that see, the Embedded Vision Summit is the place to be! Plan now to join us May 1-3, 2017 in Santa Clara as stakeholders from every corner of the world's embedded vision ecosystem gather to examine the latest advances in computer vision, machine learning, and

LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit is the most important industry event for innovators developing and deploying products using computer vision. Next year’s Summit will take place May 1-3, 2017 in Santa Clara, California. We are assembling the presentation program and have a limited number of presentation opportunities. We are looking

FEATURED VIDEOS "Implementing Eye Tracking for Medical, Automotive and Headset Applications," a Presentation from Xilinx and EyeTech Digital Systems When humans communicate with each other, we get important cues from watching each other’s eyes. Similarly, machines can gain valuable information and new capabilities by detecting and tracking users’ gazes. Robust eye tracking was once limited

FEATURED VIDEOS "Low-power Embedded Vision: A Face Tracker Case Study," a Presentation from Synopsys The ability to reliably detect and track individual objects or people has numerous applications, for example in the video-surveillance and home entertainment fields. While this has proven to be a challenging problem, recent years have brought higher performance solutions such as

FEATURED VIDEOS "Using Vision to Enable Autonomous Land, Sea and Air Vehicles," a Keynote Presentation from NASA JPL Say you’re an autonomous rover and you’ve just landed on Mars. Vexing questions now confront you: “Where am I and how am I moving?” “What obstacles are around me?” “Are the obstacles moving?” “What other objects are

LETTER FROM THE EDITOR Dear Colleague, In the coming months, Embedded Vision Alliance member companies VeriSilicon and Xilinx will deliver several free, hour-long webinars on various computer vision topics, in partnership with the Alliance. On October 19 at 10 am Pacific Time, VeriSilicon will present "Learning at the Speed of Sight," which discusses how the

LETTER FROM THE EDITOR Dear Colleague, Next Thursday, September 22 from 9 am to 5 pm, the primary Caffe developers from U.C. Berkeley's Vision and Learning Center will present "Deep Learning for Vision Using CNNs and Caffe," a full-day detailed technical tutorial focused on convolutional neural networks (CNNs) for vision and the Caffe framework for

FEATURED VIDEOS "Tailoring Convolutional Neural Networks for Low-Cost, Low-Power Implementation," a Presentation from Synopsys Deep learning-based object detection using convolutional neural networks (CNN) has recently emerged as one of the leading approaches for achieving state-of-the-art detection accuracy for a wide range of object classes. Most of the current CNN-based detection algorithm implementations run on high-performance