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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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Implementing High-performance Deep Learning Without Breaking Your Power Budget

This article was originally published at Synopsys' website. It is reprinted here with the permission of Synopsys. Examples of applications abound where high-performance, low-power embedded vision processors are used: a mobile phone using face recognition to identify a user, an augmented or mixed reality headset identifying your hands and the layout of your living room

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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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Solving Intelligence, Vision and Connectivity Challenges at the Edge with ECP5 FPGAs

This article was originally published at Lattice Semiconductor's website. It is reprinted here with the permission of Lattice Semiconductor. The rapid rise in the number of sensors that are being integrated into the current generation of embedded designs, as well as the integration of low cost cameras and displays, have opened the door to a

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Seeing Clearer – Driving Toward Better Cameras for Safer Vehicles

This article was originally published by Dave Tokic of Alliance member company Algolux. It is reprinted here with Tokic's permission. To really reduce vehicle accidents and fatalities, the cameras in our cars need to “see” better… much better. This has been a major theme in the automotive industry that has become even more urgent as traffic

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Fundamentals of Image Processing Systems

This article was originally published at Basler's website. It is reprinted here with the permission of Basler. What do image processing systems have to do with keeping foodstuffs in good shape? Everyone prefers foodstuffs that are fresh and outwardly attractive. Image processing systems are frequently used during the quality assurance process for these products to

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Machine Learning’s Fragmentation Problem — and the Solution from Khronos

This blog post was originally published at Alliance partner organization Khronos' website. It is reprinted here with the permission of the Khronos Group. There is a wide range of open-source deep learning training networks available today offering researchers and designers plenty of choice when they are setting up their project. Caffe, Tensorflow, Chainer, Theano, Caffe2,

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Smart Watch, Smart Home, Smart City – How the Internet of Things Helps Shape the Future

This article was originally published at Basler's website. It is reprinted here with the permission of Basler. Electronic devices are getting smarter each day: We use Smart Watches that don’t just tell us what time it is, but also make sure that we get enough exercise while staying up to date with the latest news

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BOSCH Visiontec Brings Innovative Automotive IP to Market Fast Using High-Level Synthesis

This article was originally published at Mentor's website. It is reprinted here with the permission of Mentor. In the world-class setting of France’s Sophia Antipolis science park, the BOSCH® Visiontec team innovates assisted and autonomous driving technology. This team develops state-of-the-art IP and ICs containing high-performance processors that implement algorithms to recognize images from cameras

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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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