Eyes of Things

作     者：Deniz, Oscar Vallez, Noelia Espinosa-Aranda, Jose L. Rico-Saavedra, Jose M. Parra-Patino, Javier Bueno, Gloria Moloney, David Dehghani, Alireza Dunne, Aubrey Pagani, Alain Krauss, Stephan Reiser, Ruben Waeny, Martin Sorci, Matteo Llewellynn, Tim Fedorczak, Christian Larmoire, Thierry Herbst, Marco Seirafi, Andre Seirafi, Kasra 

作者机构：Univ Castilla La Mancha VISILAB ETSI Ind Avda Camilo Jose Cela S-N E-13071 Ciudad Real Spain Movidius 1st FloorOConnell Bridge HouseDOlier St Dublin 2 Ireland DFKI Augmented Vis Res Grp Tripstaddterstr 122 D-67663 Kaiserslautern Germany Awaiba Madeira Tecnopolo P-9020105 Funchal Portugal nViso SA PSE D Site EPFL CH-1015 Lausanne Switzerland THALES Commun & Secur 4 Ave Louvresses F-92230 Gennevilliers France Evercam 6-7 Granby Row Dublin DO1 FW20 1 Ireland Fluxguide Burggasse 7-9-9 A-1070 Vienna Austria 

出 版 物：《SENSORS》 (传感器)

年 卷 期：2017年第17卷第5期

页      面：1173-1173页

核心收录：

学科分类：0710[理学-生物学] 071010[理学-生物化学与分子生物学] 0808[工学-电气工程] 07[理学] 0804[工学-仪器科学与技术] 0703[理学-化学] 

基　　金：European Union [643924 ] H2020 - Industrial Leadership Funding Source: H2020 - Industrial Leadership 

主　　题：embedded computer vision eyes of things Internet of Things computer vision 

摘      要：Embedded systems control and monitor a great deal of our reality. While some classic features are intrinsically necessary, such as low power consumption, rugged operating ranges, fast response and low cost, these systems have evolved in the last few years to emphasize connectivity functions, thus contributing to the Internet of Things paradigm. A myriad of sensing/computing devices are being attached to everyday objects, each able to send and receive data and to act as a unique node in the Internet. Apart from the obvious necessity to process at least some data at the edge (to increase security and reduce power consumption and latency), a major breakthrough will arguably come when such devices are endowed with some level of autonomous intelligence. Intelligent computing aims to solve problems for which no efficient exact algorithm can exist or for which we cannot conceive an exact algorithm. Central to such intelligence is Computer Vision (CV), i.e., extracting meaning from images and video. While not everything needs CV, visual information is the richest source of information about the real world: people, places and things. The possibilities of embedded CV are endless if we consider new applications and technologies, such as deep learning, drones, home robotics, intelligent surveillance, intelligent toys, wearable cameras, etc. This paper describes the Eyes of Things (EoT) platform, a versatile computer vision platform tackling those challenges and opportunities.