Mark Hebbel, Head of New Business Development at Basler, presents the "Time of Flight Sensors: How Do I Choose Them and How Do I Integrate Them?" tutorial at the May 2017 Embedded Vision Summit. 3D digitalization of the world is becoming more important. This additional dimension of information allows more real-world perception challenges to be […]
Evgeni Gousev, Senior Director at Qualcomm Research, presents the "Always-On Vision Becomes a Reality" tutorial at the May 2017 Embedded Vision Summit. Intelligent devices equipped with human-like senses such as always-on touch, audio and motion detection have enabled a variety of new use cases and applications, transforming the way we interact with each other and
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Evgeni Gousev, Senior Director at Qualcomm Research, presents the "Always-On Vision Becomes a Reality" tutorial at the May 2017 Embedded Vision Summit. Intelligent devices equipped with human-like senses such as always-on touch, audio and motion detection have enabled a variety of new use cases and applications, transforming the way we interact with each other and
“Always-on Vision Becomes a Reality,” a Presentation from Qualcomm Research Read More +
Henry Chan, Application Engineer at Aldec, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Chan demonstrates the company’s latest software/hardware co-verification technology. He demonstrates how production-level software can be used in QEMU to drive RTL hardware models simulated in Riviera-PRO. This approach promotes agile development between
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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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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
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
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
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
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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 +
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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