Videos

Yair Siegel, Director of Segment Marketing for CEVA, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Siegel demonstrates the company's Neural Network Development Platform running the YOLO (You Only Look Once) deep learning model, which has been ported to the CEVA-XM6 imaging and computer vision processor […]

Megha Dagha, Senior Technical Marketing Manager at Cadence, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Daga demonstrates an edge-detection algorithm optimally implemented using OpenVX on a dual-core system, using an Xtensa® processor as the host and a Vision processor as the DSP. OpenVX is a

Jeremy Giddings, Director of Business Development at BDTI, demonstrates the company’s capabilities for creating efficient implementations of computer vision algorithms at the May 2017 Embedded Vision Summit. Specifically, Giddings demonstrates face detection running on a low-cost Renesas RZG family processor. The face detection algorithm was implemented by BDTI to run in real time with minimal

Jeremy Giddings, Director of Business Development at BDTI, demonstrates the company's capabilities for creating efficient implementations of computer vision algorithms at the May 2017 Embedded Vision Summit. Specifically, Giddings demonstrates Tango, Google’s 3D sensing technology, running on the Lenovo Phab 2 Pro smartphone, the first production device with this technology. This successful product was the

Jeremy Giddings, Director of Business Development at BDTI, demonstrates the company's machine learning engineering services at the May 2017 Embedded Vision Summit. Specifically, Giddings demonstrates BDTI’s ability to design, train, and implement neural networks for specific use cases. For this demo, BDTI engineers implemented YOLO (You Only Look Once), an approach in which classification and