Videos

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

Gordon Cooper, Product Marketing Manager for Embedded Vision Processors at Synopsys, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Cooper shows highly accurate object classification using the VGG16 neural network running on the DesignWare EV6x Vision Processor (on a HAPS FPGA-based prototyping platform). The EV6x includes

Gordon Cooper, Product Marketing Manager for Embedded Vision Processors at Synopsys, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Cooper demonstrates a pedestrian detection application using a Histogram of Gradients (HoG) algorithm running on the DesignWare EV6x Vision Processor. In the demo, a camera is capturing

Sriram Mirali, Graphics Software Engineer at Intel, demonstrates the company's latest embedded vision technologies and products at the May 2017 Embedded Vision Summit. Specifically, Mirali demonstrates the acceleration of both traditional and deep learning computer vision algorithms using Intel graphics hardware.