Search Results for: opencv

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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Camera Interfaces Evolve to Address Growing Vision Processing Needs

Before a still image or video stream can be analyzed, it must first be captured and transferred to the processing subsystem. Cameras, along with the interfaces that connect them to the remainder of the system, are therefore critical aspects of any computer vision design. This article provides an overview of camera interfaces, and discusses their

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December 6, 2016 Webinar

Thank you for attending the December 6, 2016 webinar "Vision With Precision: Augmented Reality," presented by Xilinx and Tractica and organized by the Embedded Vision Alliance! For more information on Xilinx Embedded Vision, please visit https://www.xilinx.com/applications/megatrends/video-vision.html. For more information on Tractica, please visit https://www.tractica.com. For more information on augmented reality and other computer vision topics,

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VisionSystemsDesign

Computer Vision Evolves Towards Ubiquity

This column was originally published at Vision Systems Design's website. It is reprinted here with the permission of PennWell. For most of its history, computer vision was a topic of academic research, gaining its first sizable commercial success in factory automation applications, where it has become an essential technology. Nevertheless, vision has remained a niche

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Fifth-Generation CEVA Imaging & Vision Technology Simplifies Delivery of Powerful Deep Learning Solutions on Low-Power Embedded Devices

Comprehensive Vision Platform Incorporates New CEVA-XM6 DSP Core, Hardware Accelerators, Neural Network Software Framework, Software Libraries and a Broad Set of Algorithms Enables Embedded Neural Networks for Mass Market Intelligent Vision Applications  Targeted for Autonomous Driving, Sense and Avoid Drones, Virtual and Augmented Reality, Smart Surveillance, Smartphones, Robotics and More SANTA CLARA, Calif., – Linley

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Vision Processing Opportunities in Virtual Reality

VR (virtual reality) systems are beginning to incorporate practical computer vision techniques, dramatically improving the user experience as well as reducing system cost. This article provides an overview of embedded vision opportunities in virtual reality systems, such as environmental mapping, gesture interface, and eye tracking, along with implementation details. It also introduces an industry alliance

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Vision Processing Opportunities in Drones

UAVs (unmanned aerial vehicles), commonly known as drones, are a rapidly growing market and increasingly leverage embedded vision technology for digital video stabilization, autonomous navigation, and terrain analysis, among other functions. This article reviews drone market sizes and trends, and then discusses embedded vision technology applications in drones, such as image quality optimization, autonomous navigation,

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MathWorks Demonstrations of MATLAB and Simulink for Embedded Vision Development

Andy The, Product Manager at MathWorks, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Andy first demonstrates how Simulink supports HDL development from design through production. By combining Simulink with built-in FPGA hardware support, you can quickly design, tune, and deploy production ready HDL vision algorithms

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Videantis Demonstration of Pedestrian Detection

Marco Jacobs, Vice President of Marketing at videantis, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Jacobs demonstrates an implementation of the pedestrian detection algorithm based on OpenCV's HOG/SVM routine. The demonstration shown runs easily in real-time at very lower power on a chip that videantis

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Embedded Vision Insights: August 2, 2016 Edition

FEATURED VIDEOS Combining Flexibility and Low-Power in Embedded Vision Subsystems: An Application to Pedestrian Detection Bruno Lavigueur, Embedded Vision Subsystem Project Leader at Synopsys, presents a case study of a pedestrian detection application. Starting from a high-level functional description in OpenCV, he decomposes and maps the application onto a heterogeneous platform consisting of a high-performance

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