Felix Nikolaus, Firmware Designer at Allied Vision, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Nikolaus demonstrates Allied Vision’s all-new 1 Product Line camera series. He explains how the 130 C-500, equipped with MIPI CSI-2, can be paired with a Nitrogen6_MAX i.MX6 processor board running on […]
Jay Yagnik, Head of Machine Perception Research at Google, presents the "Rapid Evolution and Future of Machine Perception" tutorial at the May 2017 Embedded Vision Summit. With the advent of deep learning, our ability to build systems that derive insights from perceptual data has increased dramatically. Perceptual data dwarfs almost all other data sources in
“The Rapid Evolution and Future of Machine Perception,” a Presentation from Google Read More +
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
“Always-on Vision Becomes a Reality,” a Presentation from Qualcomm Research Read More +
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
Aldec Demonstration of Software/Hardware Co-Verification using Riviera-PRO Read More +
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
Aldec Demonstration of ADAS and Face/Eye Detection using SoC FPGAs Read More +
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
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 +
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