Videos

Maged Zaki, Director of Technical Marketing at Qualcomm, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Zaki demonstrates dense optical flow, a highly accurate means to detect and track motion. The demo, developed by Qualcomm partner (and fellow Embedded Vision Alliance member) BDTI, enables the operation […]

Ashish Farmer, Software Engineer at AMD (representing the HSA Foundation), demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Farmer demonstrates Harris Corner Detection and Optical Flow, implemented using OpenVX.

Raman Narayan, Country Manager at PathPartner Technology, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Narayan demonstrates an optimized stereo vision implementation running on NVIDIA's Tegra platform.

Daniele Packard, Sales Engineer at Samasource, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Packard demonstrates the company's image annotation platform.

Raman Narayan, Country Manager at PathPartner Technology, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Narayan demonstrates gaze tracking for ADAS applications.

Marc Evans, from the Customer Solutions Group at CEVA, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Evans demonstrates the AlexNet open source network running on CEVA's XM4 vision processor. The network includes 24 layers and is trained using the Caffe deep learning framework. The demo

Craig Johnson, Senior Manager at Renesas, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Johnson demonstrates surround view and deep learning-based pedestrian detection and sign recognition, all running on the company's R-Car platform.

François Duhem, Research Engineer at Thales Group, demonstrates the organization's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Duhem discusses the organization's activities in designing power-efficient embedded platforms for real-time image processing applications through two research projects. COPCAMS (www.copcams.eu) develops a solution to give industrial-grade cameras an infinite depth

David Olsen, Staff Product Marketing Manager at Renesas, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Olsen demonstrates gaze tracking and deep learning-based object recognition, both running on the company's RZ/G1M microprocessor.

Dan Sakols, Vice President of Business Development at Almalence, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Sakols demonstrates the company's SuperResolution technology, which allows resolution improvement at video frame rates, accelerated on the Qualcomm Hexagon vector processor. SuperResolution on Hexagon permits mobile devices to zoom