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Implementing Vision with Deep Learning in Resource-constrained Designs

DNNs (deep neural networks) have transformed the field of computer vision, delivering superior results on functions such as recognizing objects, localizing objects within a frame, and determining which pixels belong to which object. Even problems like optical flow and stereo correspondence, which had been solved quite well with conventional techniques, are now finding even better […]

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Mentor Embedded Linux Platform Supports New AMD EPYC Embedded and AMD Ryzen Embedded Processors

Mentor® Embedded Linux (MEL) platform supports AMD’s new EPYC™ Embedded 3000 and Ryzen™ Embedded V1000 processors based on high-performance x86 “Zen” architecture Targets industrial, medical, machine vision and learning, networking, and edge computing device applications, with superior performance and a suite of on-chip security features Mentor provides “out-of- the-box” embedded Linux support for hardware-accelerated applications

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Computer Vision in Surround View Applications

The ability to "stitch" together (offline or in real-time) multiple images taken simultaneously by multiple cameras and/or sequentially by a single camera, in both cases capturing varying viewpoints of a scene, is becoming an increasingly appealing (if not necessary) capability in an expanding variety of applications. High quality of results is a critical requirement, one

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The Khronos Group Releases Finalized SYCL 1.2.1

Enhanced support for machine learning, TensorFlow acceleration, and C++17 alignment December 6, 2017 – Embedded Vision Alliance Member Meeting  – The Khronos™ Group, an open consortium of leading hardware and software companies creating advanced acceleration standards, today announces the ratification and public release of the finalized SYCL™ 1.2.1 specification. SYCL for OpenCL™ enables code for

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Stereo Vision: Facing the Challenges and Seeing the Opportunities for ADAS Applications

This technical article was originally published on Texas Instruments' website (PDF). It is reprinted here with the permission of Texas Instruments. Introduction Cameras are the most precise mechanisms used to capture accurate data at high resolution. Like human eyes, cameras capture the resolution, minutiae and vividness of a scene with such beautiful detail that no

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The Flying Eye

This article was originally published at IDS Imaging's website. It is reprinted here with the permission of IDS Imaging. Besides 3D and robot vision, embedded vision is one of the latest hot topics in machine vision. This is because without real-time machine vision, there would be no such thing as autonomous transport systems and robots

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Luxoft Demonstration of an Optimized Stereo Depth Map

Ihor Starepravo, Embedded Practice Director at Luxoft, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Starepravo demonstrates how an embedded system platform extracts a depth map out of what’s being filmed. This complex process is done in real time, allowing devices to understand complex dynamic 3D

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Embedded Vision Insights: October 10, 2017 Edition

LETTER FROM THE EDITOR Dear Colleague, The Embedded Vision Summit is the preeminent conference on practical computer vision, covering applications from the edge to the cloud. It attracts a global audience of over one thousand product creators, entrepreneurs and business decision-makers who are creating and using computer vision technology. The Embedded Vision Summit has experienced

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Beyond-visible Light Applications in Computer Vision

Computer vision systems aren’t necessarily restricted to solely analyzing the portion of the electromagnetic spectrum that is visually perceivable by humans. Expanding the analysis range to encompass the infrared and/or ultraviolet spectrum, either broadly or selectively and either solely or in conjunction with visible spectrum analysis, can be of great benefit in a range of

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Embedded Vision Insights: September 26, 2017 Edition

LETTER FROM THE EDITOR Dear Colleague, Deep neural networks (DNNs) are proving very effective for a variety of challenging machine perception tasks, but these algorithms are very computationally demanding. To enable DNNs to be used in practical applications, it’s critical to find efficient ways to implement them. The Embedded Vision Alliance will delve into these

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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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