Deep Dive: Implementing Computer Vision with PowerVR (Part 1: Computer Vision Algorithms)

This article was originally published at Imagination Technologies' website, where it is one of a series of articles. It is reprinted here with the permission of Imagination Technologies. Computer vision is the use of computers to extract useful meaning from images, such as those that arise from photographs, video and real-time camera feeds. Thanks to […]

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VanGogh Imaging Demonstration of Object Capture, Modeling and Tracking

Greg Werth, Vice President of Marketing at VanGogh Imaging, demonstrates the company's latest embedded vision technologies and products at the December 2015 Embedded Vision Alliance Member Meeting. Specifically, VanGogh Imaging demonstrates a depth sensing camera-based design capable of object capture, modeling and tracking functions, useful in augmented reality and other applications.

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Eutecus Demonstrations of Video Analytics Applications

Mark Massie, Chief Strategy Officer at Eutecus, demonstrates the company's latest embedded vision technologies and products at the December 2015 Embedded Vision Alliance Member Meeting. Specifically, Eutecus demonstrates two video analytics applications running on the company's ReCo (Recognizing Processor)-Pro module; vehicle parking monitoring, and ADAS (lane monitoring, vehicle monitoring, and street sign detection).

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Qualcomm Announces Three New Snapdragon Processors that Bring Advanced Modem, Imaging and Sensors to Mainstream Devices

Making premium-tier features available to more affordable smartphones around the world SAN DIEGO, Feb. 11, 2016 /PRNewswire/ — Qualcomm Incorporated (NASDAQ: QCOM) today announced that its subsidiary, Qualcomm Technologies, Inc., has introduced three new next-generation Qualcomm® Snapdragon(TM) processors: the Snapdragon 625, 435 and 425. These new processors are designed to deliver some of the latest

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Speeding Up the Fast Fourier Transform Mixed-Radix on Mobile ARM Mali GPUs By Means of OpenCL (Part 3)

This article was originally published at ARM's website. It is reprinted here with the permission of ARM. For more information, please see ARM's developer site, which includes a variety of GPU Compute, OpenCL and RenderScript tutorials. In this third and last part of this blog series we are going to extend the mixed-radix FFT OpenCL™

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AdasWorks Demonstration of Neural Network-based ADAS

Laszlo Kishonti, Founder and CEO of AdasWorks, demonstrates the company's latest embedded vision technologies and products at the December 2015 Embedded Vision Alliance Member Meeting. Specifically, Kishonti demonstrates a neural network-based implementation of the company's AdasWorks 360° Intelligent Surround View system, which processes the environment around the car using the vision information from four cameras.

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Unlocking the Value in Video

This blog post was originally published in the early February 2016 edition of BDTI's InsideDSP newsletter. It is reprinted here with the permission of BDTI. Today, billions of hours of video are collected each year, but most of it is never used, because we don't have a practical way to extract actionable information from it.

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Argus Insights Overview of Its Embedded Vision Market Analysis Capabilities

John Feland, CEO and Founder of Argus Insights, discusses the company's embedded vision activities at the December 2015 Embedded Vision Alliance Member Meeting. Specifically, Feland discusses how his company is able to track trends on social media related to embedded vision in general and the Embedded Vision Alliance in particular.

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Auviz Systems Demonstrations of Image Classification and License Plate Recognition Applications

Nagesh Gupta, CEO and Founder of Auviz Systems, demonstrates the company's latest embedded vision technologies and products at the May 2015 Embedded Vision Summit. Specifically, Gupta demonstrates "AlexNet" deep neural network image classification and license plate recognition applications, both running on an FPGA.

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Digital Video Stabilization: Smooth Footage Without Expensive Mechanics

From drones to handheld devices, the rising demand for video cameras has made them ubiquitous, constantly driving down size and cost while pushing up resolution and overall quality. One of the main challenges in this field is stabilizing the image to generate clear, smooth footage. In this post, I would like to discuss the challenges

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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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