Carter Maslan and Luca de Alfaro of Camio deliver the presentation "Combining Cloud and Edge Machine Learning to Deliver the Future of Video Monitoring" at the February 2017 Embedded Vision Alliance Member Meeting. Maslan and de Alfaro present their company's approach to using machine learning at the edge and in the cloud to deliver more …
This article explains the differences between images intended for human viewing and for computer analysis, and how these differences factor into the hardware and software design of a camera intended for computer vision applications versus traditional still and video image capture. It discusses various methods, both industry standard and proprietary, for assessing and optimizing computer …
Image Quality Analysis, Enhancement and Optimization Techniques for Computer Vision Read More +
On January 25, 2017, Embedded Vision Alliance founder Jeff Bier delivered the webinar “Recent Developments in Embedded Vision: Algorithms, Processors, Tools and Applications”, in partnership with Vision Systems Design. Bier’s presentation is available for download here (3.6 MB PDF). For more information and to view the free on-demand archive of… “Recent Developments in Embedded Vision: …
Professor Jeff Bilmes of the University of Washington delivers the presentation "Image and Video Summarization" at the December 2016 Embedded Vision Alliance Member Meeting. Bilmes provides an overview of the state of the art in image and video summarization.
RetailNext's Mark Jamtgaard, Director of Technology, and Bill Adamec, Research and Development Manager, deliver the presentation "Deploying Embedded Vision for Retail Analytics" at the December 2016 Embedded Vision Alliance Member Meeting. Jamtgaard and Adamec Chehebar explain how retailers are using embedded vision to optimize store layout and staffing based on measured customer behavior at scale.
Peter McGuinness, representing the Khronos Group, delivers the presentation "New Standards for Embedded Vision and Neural Networks" at the December 2016 Embedded Vision Alliance Member Meeting. McGuinness discusses new standardization work for embedded neural network and vision software.
Ben Chehebar, co-founder of Compology, delivers the presentation "Using Vision to Improve Waste Collection Efficiency" at the December 2016 Embedded Vision Alliance Member Meeting. Chehebar describes a novel vision-based solution that is dramatically improving the efficiency of trash collection.
Computers can learn a lot about a person from their face – even if they don’t uniquely identify that person. Assessments of age range, gender, ethnicity, gaze direction, attention span, emotional state and other attributes are all now possible at real-time speeds, via advanced algorithms running on cost-effective hardware. This article provides an overview of …
Facial Analysis Delivers Diverse Vision Processing Capabilities Read More +
This is a reprint of a Xilinx-published white paper which is also available here (1 MB PDF). Xilinx INT8 optimization provide the best performance and most power efficient computational techniques for deep learning inference. Xilinx's integrated DSP architecture can achieve 1.75X solution-level performance at INT8 deep learning operations than other FPGA DSP architectures. ABSTRACT The …
Deep Learning with INT8 Optimization on Xilinx Devices Read More +
Vivienne Sze, Assistant Professor at MIT, delivers the presentation "Energy-efficient Hardware for Embedded Vision and Deep Convolutional Neural Networks" at the September 2016 Embedded Vision Alliance Member Meeting. Sze describes the results of her team's recent research on optimized hardware for deep learning. Followup: per Professor Sze, "Slides available at: http://www.rle.mit.edu/eems/wp-content/uploads/2016/07/Sze-Energy-Efficient-Hardware-for-Embedded-Vision-and-Deep-Learning-CVPR-2016-EVW.pdf".
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.
1646 N. California Blvd.,
Suite 360
Walnut Creek, CA 94596 USA
