Brian Dipert

Basler’s Thies Möller Answers the Question, “What is a Vision System?”

When it comes to industrial image processing, there are many tasks, from quality controls to sorting foods, that require more than just one single camera. Responsibilities like these require a more comprehensive image processing system, known as a vision system. The camera is the centerpiece of the vision system, which is not to say that […]

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“Understanding the Role of Integrated GPUs in Vision Applications,” a Presentation from ARM

Roberto Mijat, Visual Computing Marketing Manager at ARM, presents the "Understanding the Role of Integrated GPUs in Vision Applications" tutorial at the May 2015 Embedded Vision Summit. Today, systems-on-chip (SoCs) used in applications such as smart TVs, smartphones and tablets typically include a multi-core CPU with single-instruction, multiple-data capabilities as well as a GPU that

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GrandViewResearch

Consumer Electronic Sensors Market Worth $34.57 Billion By 2022

The global consumer electronic sensors market is expected to reach USD 34.57 billion by 2022, according to a new study by Grand View Research, Inc. The increasing proliferation of smartphones and tablets on a global level is expected to drive demand over the forecast period. Preference for smart devices and increasing disposable income may further

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MarketsandMarkets

The Visual Computing Market Is Projected To Be Worth $22.02 Billion By 2020

According to a new market research report published by Markets & Markets, the visual computing market is expected to reach $22.02 Billion by 2020, at a CAGR of 22.59% between 2015 and 2020. Visual computing aims to let a user control and interact with activities through the manipulation of real or virtual objects, including the

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“Deep-learning-based Visual Perception in Mobile and Embedded Devices: Opportunities and Challenges,” a Presentation from Qualcomm

Jeff Gehlhaar, Vice President of Technology, Corporate Research and Development, at Qualcomm, presents the "Deep-learning-based Visual Perception in Mobile and Embedded Devices: Opportunities and Challenges" tutorial at the May 2015 Embedded Vision Summit. Deep learning approaches have proven extremely effective for a range of perceptual tasks, including visual perception. Incorporating deep-learning-based visual perception into devices

“Deep-learning-based Visual Perception in Mobile and Embedded Devices: Opportunities and Challenges,” a Presentation from Qualcomm Read More +

ONSPR2822_AP0200_LRES

ON Semiconductor Introduces Series of Advanced Image Co-Processors for Next Generation Automotive Camera

New solutions deliver higher resolution, multiple interfaces and new automotive-targeted features for 1080p and 720p automotive rear view and surround view cameras PHOENIX, Ariz. – July 30, 2015 – ON Semiconductor (Nasdaq: ON), driving energy efficiency innovations, enables high dynamic range (HDR) 1080p automotive camera systems, with the introduction of a new series of image

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“Combining Vision, Machine Learning and Natural Language Processing to Answer Everyday Questions,” a Presentation from QM Scientific

Faris Alqadah, CEO and Co-Founder of QM Scientific, delivers the presentation "Combining Vision, Machine Learning and Natural Language Processing to Answer Everyday Questions" at the May 2015 Embedded Vision Alliance Member Meeting. Faris explains how his company's GPU-accelerated Quazi platform combines proprietary natural language processing, computer vision and machine learning technologies to extract, connect and

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strategy-analytics

Consumer Willingness to Pay for ADAS Remains Modest as Interest Rises Sharply

BOSTON, July 21, 2015 /PRNewswire/ — A recent study from the In-vehicle UX (IVX) group at Strategy Analytics (www.strategyanalytics.com) surveying consumers in the US, Western Europe and China, has found some changes in consumer interest for advanced driver assistance systems (ADAS) which could highlight potential market shifts in the near future.  After years of hesitance,

Consumer Willingness to Pay for ADAS Remains Modest as Interest Rises Sharply Read More +

EVA180x100

Embedded Vision Insights: July 28, 2015 Edition

In this edition of Embedded Vision Insights: New Embedded Vision Videos from Dyson and Others Augmented Reality's Interface Between Wearables and IoT Devices A Report from the Image Sensor Auto Conference Embedded Vision Community Conversations Embedded Vision in the News LETTER FROM THE EDITOR Dear Colleague, We have just released another batch of great presentation

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“Understanding Adaptive Machine Learning Vision Algorithms and Implementing Them on GPUs and Heterogeneous Platforms,” a Presentation from AMD

Harris Gasparakis, OpenCV Manager at AMD, presents the "Understanding Adaptive Machine Learning Vision Algorithms and Implementing them on GPUs and Heterogeneous Platforms" tutorial at the May 2015 Embedded Vision Summit. Machine learning algorithms are pervasive in computer vision: from object detection to object tracking to full scene recognition, generative or discriminative learning dominates the space,

“Understanding Adaptive Machine Learning Vision Algorithms and Implementing Them on GPUs and Heterogeneous Platforms,” a Presentation from AMD Read More +

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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