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Image Quality Analysis, Enhancement and Optimization Techniques for Computer Vision

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 […]

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VisionSystemsDesign

“Recent Developments in Embedded Vision: Algorithms, Processors, Tools and Applications,” a Presentation from the Embedded Vision Alliance

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:

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“Deploying Embedded Vision for Retail Analytics,” a Presentation from RetailNext

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.

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“New Standards for Embedded Vision and Neural Networks,” a Presentation from the Khronos Group

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.

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Facial Analysis Delivers Diverse Vision Processing Capabilities

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

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Figure5

Deep Learning with INT8 Optimization on Xilinx Devices

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

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“Energy-efficient Hardware for Embedded Vision and Deep Convolutional Neural Networks,” a Presentation from MIT

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".

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“Enabling Efficient Heterogeneous Processing Through Coherency,” a Presentation from the HSA Foundation

Dr. John Glossner, President of the HSA Foundation and CEO of GPT-US, delivers the presentation "Enabling Efficient Heterogeneous Processing Through Coherency" at the September 2016 Embedded Vision Alliance Member Meeting. Glossner describes the organization's goals and deliverables for enabling heterogeneous programming.

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“What’s Augmented? What’s Reality?,” a Presentation from PTC

Jay Wright, President and General Manager of Vuforia at PTC, delivers the presentation "What's Augmented? What's Reality?" at the September 2016 Embedded Vision Alliance Member Meeting. Wright provides insights on augmented reality markets, applications and technology.

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“Using Vision to Enable Autonomous Land, Sea and Air Vehicles,” a Keynote Presentation from NASA JPL

Larry Matthies, senior research scientist at the NASA Jet Propulsion Laboratory, presents the "Using Vision to Enable Autonomous Land, Sea and Air Vehicles" keynote at the May 2016 Embedded Vision Summit. 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?”

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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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