Videos

Pulin Desai, product marketing director for vision DSPs at Cadence, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Desai demonstrates German traffic sign recognition, using convolutional neural network (CNN) processing, running on a Cadence Tensilica Vision DSP.

Nagesh Gupta, CEO and Founder of Auviz Systems, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Gupta demonstrates free space detection using semantic segmentation, a technique wherein every pixel of an image is segmented into different categories. Semantic segmentation is performed using AuvizDNN, a framework to

Jingyi Jin, software architect in the Visual and Parallel Computing Group at Intel, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Jin demonstrates Intel Graphics being used as an accelerator to support real-time object recognition on low-end devices like consumer laptops and tablets. Intel Graphics is

Jack Dashwood, Marketing Communications Director at Movidius, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Dashwood demonstrates the Fathom neural compute framework, running an image classifier in an ultra-low power embedded environment (under 1W), and enabling a whole new class of miniature robot overlords to be

Bill Jenkins, Senior Product Specialist for High Level Design Tools at Intel's Programmable Solutions Group (formerly Altera), demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Jenkins demonstrates how Altera FPGAs can be used to build power-efficient neural networks to accelerate machine learning. The demo shows convolutional

Vidushi Kshatri, Strategic Marketing at Analog Devices, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Kshatri demonstrates an Embedded Vision Sensing technology platform from Analog Devices called BLIP (the Blackfin Low-power Imaging Platform). BLIP is a low cost, low power embedded computer vision platform targeting a

Jeremy Giddings, Director of Business Development at BDTI, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. In this video, Giddings demonstrates dense optical flow, a highly accurate means to detect and track motion, on a low-cost embedded processor, the Renesas RGZ, a dual ARM core chip. In

Ali Ors, Senior R&D Manager for ADAS at NXP Semiconductors' Automotive division, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Ors presents the capabilities of the NXP S32V Automotive Vision Processor, demonstrating the optical flow feature tracker with algorithms running on the APEX image processors inside

Jeremy Giddings, Director of Business Development at BDTI, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Giddings demonstrates a neural network for object recognition. The demo showcases BDTI's ability to quickly implement an open source neural network, Darknet, on a GPU using YOLO, a system for

László Kishonti, CEO and founder of AdasWorks, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Kishonti demonstrates how, with a single camera fronting the onlookers of the Summit, AdasWorks’ artificial intelligence-based software can detect humans in real time on a pixel level. He points out that