Brian Dipert

Aldec Demonstration of ADAS and Face/Eye Detection using SoC FPGAs

Videos /

Farhad Fallahlalehzari, Application Engineer at Aldec, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Fallahlalehzari demonstrates the acceleration of ADAS and face/eye detection using Aldec’s embedded development/prototyping boards. He demonstrates how Aldec's TySOM embedded development boards can find use in improving the performance of embedded vision […]

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“Computer Vision and Machine Learning at the Edge,” a Presentation from Qualcomm Technologies

Algorithms & Models, Augmented Reality, Entertainment, Processors, Qualcomm, Sensors and Cameras, Software, Tools, Videos /

Michael Mangan, a member of the Product Manager Staff at Qualcomm Technologies, presents the "Computer Vision and Machine Learning at the Edge" tutorial at the May 2017 Embedded Vision Summit. Computer vision and machine learning techniques are applied to myriad use cases in smartphones today. As mobile technology expands beyond the smartphone vertical, both technologies

“Computer Vision and Machine Learning at the Edge,” a Presentation from Qualcomm Technologies Read More +

“Computer Vision and Machine Learning at the Edge,” a Presentation from Qualcomm Technologies

Algorithms & Models, Augmented Reality, Entertainment, Processors, Qualcomm, Sensors and Cameras, Software, Tools, Videos /

Michael Mangan, a member of the Product Manager Staff at Qualcomm Technologies, presents the "Computer Vision and Machine Learning at the Edge" tutorial at the May 2017 Embedded Vision Summit. Computer vision and machine learning techniques are applied to myriad use cases in smartphones today. As mobile technology expands beyond the smartphone vertical, both technologies

“Computer Vision and Machine Learning at the Edge,” a Presentation from Qualcomm Technologies Read More +

EmbeddedComputingDesign

CEVA Deep Neural Network Software Framework Named “2017 Most Innovative Product” by Embedded Computing Design

News /

CDNN2 simplifies the development and deployment of deep learning systems for mass-market embedded devices MOUNTAIN VIEW, Calif., August 01, 2017 – CEVA, Inc. (NASDAQ: CEVA), the leading licensor of signal processing IP for smarter, connected devices, today announced that the CEVA Deep Neural Network (CDNN2) software framework has been honored with the “2017 Most Innovative

CEVA Deep Neural Network Software Framework Named “2017 Most Innovative Product” by Embedded Computing Design Read More +

EVA180x100

Embedded Vision Insights: August 1, 2017 Edition

Edge AI and Vision Alliance, Newsletters /

COMPUTER VISION FOR IMAGE UNDERSTANDING Semantic Segmentation for Scene Understanding: Algorithms and Implementations Recent research in deep learning provides powerful tools that begin to address the daunting problem of automated scene understanding. Modifying deep learning methods, such as CNNs, to classify pixels in a scene with the help of the neighboring pixels has provided very

Embedded Vision Insights: August 1, 2017 Edition Read More +

EVA180x100

Embedded Vision Insights: August 1, 2017 Edition

Edge AI and Vision Alliance, Newsletters /

COMPUTER VISION FOR IMAGE UNDERSTANDING Semantic Segmentation for Scene Understanding: Algorithms and Implementations Recent research in deep learning provides powerful tools that begin to address the daunting problem of automated scene understanding. Modifying deep learning methods, such as CNNs, to classify pixels in a scene with the help of the neighboring pixels has provided very

Embedded Vision Insights: August 1, 2017 Edition Read More +

“Deep Learning and CNN for Embedded Vision,” a Video from Synopsys

Videos /

This video, one in a series published by Alliance member company Synopsys, explains how machines use deep learning for complex tasks for automotive ADAS, surveillance, augmented reality, and other applications. Deep learning is a mathematical way to model abstract data, and in Synopsys' opinion is quickly becoming a requirement for vision processors.

“Deep Learning and CNN for Embedded Vision,” a Video from Synopsys Read More +

mvtec-logo-web

Machine Vision: MVTec HALCON Sets New Standards for the Use of Deep Learning

News /

New HALCON version with comprehensive deep learning functionality Impressive recognition rates and the best classification results To be released at the end of the year Munich, July 31, 2017 – MVTec Software GmbH (www.mvtec.com), the leading provider of innovative machine vision technologies, announces a new version of its standard software HALCON. The release, which will

Machine Vision: MVTec HALCON Sets New Standards for the Use of Deep Learning Read More +

“Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles,” a Presentation from NXP Semiconductors

Algorithms & Models, Automotive, Edge AI and Vision Alliance, NXP Semiconductors, Object Identification, Object Tracking, Optical Character Recognition, Processors, Sensors and Cameras, Software, Tools, Videos /

Ali Osman Ors, Director of Automotive Microcontrollers and Processors at NXP Semiconductors, presents the "Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles" tutorial at the May 2017 Embedded Vision Summit. A diverse set of sensor technologies is available and emerging to provide vehicle autonomy or driver assistance. These sensor technologies often

“Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles,” a Presentation from NXP Semiconductors Read More +

“Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles,” a Presentation from NXP Semiconductors

Algorithms & Models, Automotive, Edge AI and Vision Alliance, NXP Semiconductors, Object Identification, Object Tracking, Optical Character Recognition, Processors, Sensors and Cameras, Software, Tools, Videos /

Ali Osman Ors, Director of Automotive Microcontrollers and Processors at NXP Semiconductors, presents the "Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles" tutorial at the May 2017 Embedded Vision Summit. A diverse set of sensor technologies is available and emerging to provide vehicle autonomy or driver assistance. These sensor technologies often

“Choosing the Optimum Mix of Sensors for Driver Assistance and Autonomous Vehicles,” a Presentation from NXP Semiconductors 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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