Perpetual video camera for Internet-of-things

Yen-kuang Chen, Shao-Yi Chien
{"title":"Perpetual video camera for Internet-of-things","authors":"Yen-kuang Chen, Shao-Yi Chien","doi":"10.1109/VCIP.2012.6410856","DOIUrl":null,"url":null,"abstract":"Digital sensing, processing, and communication capabilities will be ubiquitously embedded into everyday objects, turning them into an Internet-of-things (IoT, also known as, machine-to-machine, M2M). More importantly, everyday objects will become data generators, with sensors everywhere continuously collecting a large quantity of data about their context and use, processors everywhere analyzing and inferring useful knowledge from the data, and finally communication radios transmitting and exchanging useful knowledge with other objects and to “cloud” based resources. This is the next-generation Internet - rather than data mainly produced by humans and for humans, in the new machine-to-machine-era Internet, data are generated by machines (sensors), communicated without human involvement to other machines (servers or other computer systems) for automated processing to enable automated or human actions, driving speeds and scales unseen by the existing Internet. Distributed video cameras will play important roles in various IoT/M2M applications. To resolve the problems of high data rate, high power consumption, and large deployment cost of large-scale distributed video sensors, perpetual video cameras, where net energy consumption is almost zero, are required. Many technologies and design challenges are introduced for designing such cameras, such as energy harvesting, distributed video coding, distributed video analysis, and the associated VLSI designs. To bring up these issues and challenges, in this tutorial, we will provide (1) an overview of challenges/opportunities in M2M, (2) an introduction of distributed smart cameras in M2M applications, (3) the analysis of power consumption of distributed cameras, (4) an introduction of energy harvesting techniques, (5) distributed video coding and (6) distributed video analysis techniques, where both the state-of-the-art works and possible future research directions will be shown. Finally, we will conclude this tutorial with some possible applications.","PeriodicalId":103073,"journal":{"name":"2012 Visual Communications and Image Processing","volume":"62 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 Visual Communications and Image Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VCIP.2012.6410856","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 7

Abstract

Digital sensing, processing, and communication capabilities will be ubiquitously embedded into everyday objects, turning them into an Internet-of-things (IoT, also known as, machine-to-machine, M2M). More importantly, everyday objects will become data generators, with sensors everywhere continuously collecting a large quantity of data about their context and use, processors everywhere analyzing and inferring useful knowledge from the data, and finally communication radios transmitting and exchanging useful knowledge with other objects and to “cloud” based resources. This is the next-generation Internet - rather than data mainly produced by humans and for humans, in the new machine-to-machine-era Internet, data are generated by machines (sensors), communicated without human involvement to other machines (servers or other computer systems) for automated processing to enable automated or human actions, driving speeds and scales unseen by the existing Internet. Distributed video cameras will play important roles in various IoT/M2M applications. To resolve the problems of high data rate, high power consumption, and large deployment cost of large-scale distributed video sensors, perpetual video cameras, where net energy consumption is almost zero, are required. Many technologies and design challenges are introduced for designing such cameras, such as energy harvesting, distributed video coding, distributed video analysis, and the associated VLSI designs. To bring up these issues and challenges, in this tutorial, we will provide (1) an overview of challenges/opportunities in M2M, (2) an introduction of distributed smart cameras in M2M applications, (3) the analysis of power consumption of distributed cameras, (4) an introduction of energy harvesting techniques, (5) distributed video coding and (6) distributed video analysis techniques, where both the state-of-the-art works and possible future research directions will be shown. Finally, we will conclude this tutorial with some possible applications.
用于物联网的永久摄像机
数字传感、处理和通信功能将无处不在地嵌入到日常物品中,将它们变成物联网(IoT,也称为机器对机器,M2M)。更重要的是,日常物品将成为数据生成器,无处不在的传感器不断收集大量有关其上下文和用途的数据,无处不在的处理器从数据中分析和推断有用的知识,最后通信无线电将有用的知识与其他物品和“云”资源进行传输和交换。这是下一代互联网——而不是主要由人类和为人类产生的数据,在新的机器对机器时代的互联网中,数据由机器(传感器)产生,在没有人类参与的情况下与其他机器(服务器或其他计算机系统)进行通信,进行自动化处理,以实现自动化或人类的行动,推动现有互联网看不到的速度和规模。分布式摄像机将在各种物联网/M2M应用中发挥重要作用。为了解决大规模分布式视频传感器的高数据速率、高功耗、大部署成本等问题,需要使用净能耗几乎为零的永续摄像机。许多技术和设计挑战介绍了设计这样的相机,如能量收集,分布式视频编码,分布式视频分析,以及相关的超大规模集成电路设计。为了提出这些问题和挑战,在本教程中,我们将提供(1)M2M中的挑战/机遇概述,(2)M2M应用中的分布式智能摄像机的介绍,(3)分布式摄像机的功耗分析,(4)能量收集技术的介绍,(5)分布式视频编码和(6)分布式视频分析技术,其中将显示最新的工作和可能的未来研究方向。最后,我们将用一些可能的应用程序来结束本教程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信