Videos

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

Noelia Vallez, "Chief Software Bug Finder" at the Universidad de Castilla-La Mancha, demonstrates the organization's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Vallez describes the objectives of the "Eyes of Things" project and shows one of the prototype boards. Her quiescent soon-to-be husband, "Chief Hardware Bug Finder" Jose

Marco Jacobs, Vice President of Marketing at videantis, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Jacobs demonstrates an implementation of the pedestrian detection algorithm based on OpenCV's HOG/SVM routine. The demonstration shown runs easily in real-time at very lower power on a chip that videantis

Stephane Hauradou, Co-founder of QuickPlay, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Hauradou demonstrates how the QuickPlay FPGA development platform was used to build a FPGA-based vision accelerator from scratch. The demo consisted in a 10GigE Vision camera pushing 10G video data into a Xilinx

Marco Jacobs, Vice President of Marketing at videantis, demonstrates the company's latest embedded vision technologies and products at the May 2016 Embedded Vision Summit. Specifically, Jacobs demonstrates a robust implementation of Structure from Motion that videantis developed together with VISCODA. This algorithm allows the capture of 3D information from standard monocular cameras. The demo shown