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Cyclops, image sensing and interpretation in wireless networks

Authors:

Jay WarriorAuthors Info & Claims

SenSys '04: Proceedings of the 2nd international conference on Embedded networked sensor systems

Page 311

https://doi.org/10.1145/1031495.1031554

Published: 03 November 2004 Publication History

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Abstract

Technological progress in integrated, low power CMOS imaging [1] and maturing low power wireless sensor network platforms, motivate a new and rich design space exploiting in network dense imaging. In particular, by combining comparably low power CMOS cameras and low power wireless sensor nodes, and implementing on board compression and image analysis techniques, we can greatly enhance the application of dense wireless sensor networks to phenomena that are most readily observed in the optical domain.

In this demonstration we will introduce Cyclops. Cyclops (see Figure 1) is a joint project between Agilent Technology and the Center for Embedded Networked Sensing (CENS). It is a low power CMOS imager with a local frame grabber and local computation. It behaves like a sensor for a host and can do local computation and inference, acting as a more capable sensor. Inference can be based on a color histogram, statistical characteristics of images, or a hypothesis such as the existence of motion or a specific template in the scene. The demonstration will showcase the functionality of the first generation of Cyclops, including low duty cycle image capture and participation in a sensor network via an attached Crossbow Mica2.

Performance studies will also be presented, along with outstanding challenges and foreseeable opportunities.

Reference

[1]

Imaging Semiconductor Products. "www.agilent.com"

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Costa DCollotta MPau GDuran-Faundez C(2017)A Fuzzy-Based Approach for Sensing, Coding and Transmission Configuration of Visual Sensors in Smart City ApplicationsSensors10.3390/s1701009317:1(93)Online publication date: 5-Jan-2017
https://doi.org/10.3390/s17010093
Winkler TRinner B(2015)Secure embedded visual sensing in end-user applications with TrustEYE.M42015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)10.1109/ISSNIP.2015.7106934(1-6)Online publication date: Apr-2015
https://doi.org/10.1109/ISSNIP.2015.7106934
Paek JHicks JCoe SGovindan R(2014)Image-Based Environmental Monitoring Sensor Application Using an Embedded Wireless Sensor NetworkSensors10.3390/s14091598114:9(15981-16002)Online publication date: 28-Aug-2014
https://doi.org/10.3390/s140915981
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Index Terms

Cyclops, image sensing and interpretation in wireless networks
1. General and reference
  1. Cross-computing tools and techniques
    1. Design

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Published In

SenSys '04: Proceedings of the 2nd international conference on Embedded networked sensor systems

November 2004

338 pages

ISBN:1581138792

DOI:10.1145/1031495

General Chair:
John A. Stankovic
University of Virginia
,
Program Chairs:
Anish Arora
Ohio State University
,
Ramesh Govindan
University of Southern California

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 03 November 2004

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SenSys04

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SenSys04: ACM Conference on Embedded Network Sensor Systems

November 3 - 5, 2004

MD, Baltimore, USA

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Overall Acceptance Rate 174 of 867 submissions, 20%

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Cited By

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Costa DCollotta MPau GDuran-Faundez C(2017)A Fuzzy-Based Approach for Sensing, Coding and Transmission Configuration of Visual Sensors in Smart City ApplicationsSensors10.3390/s1701009317:1(93)Online publication date: 5-Jan-2017
https://doi.org/10.3390/s17010093
Winkler TRinner B(2015)Secure embedded visual sensing in end-user applications with TrustEYE.M42015 IEEE Tenth International Conference on Intelligent Sensors, Sensor Networks and Information Processing (ISSNIP)10.1109/ISSNIP.2015.7106934(1-6)Online publication date: Apr-2015
https://doi.org/10.1109/ISSNIP.2015.7106934
Paek JHicks JCoe SGovindan R(2014)Image-Based Environmental Monitoring Sensor Application Using an Embedded Wireless Sensor NetworkSensors10.3390/s14091598114:9(15981-16002)Online publication date: 28-Aug-2014
https://doi.org/10.3390/s140915981
Yap FYen H(2014)A Survey on Sensor Coverage and Visual Data Capturing/Processing/Transmission in Wireless Visual Sensor NetworksSensors10.3390/s14020350614:2(3506-3527)Online publication date: 20-Feb-2014
https://doi.org/10.3390/s140203506
Karakaya MQi H(2014)Collaborative localization in visual sensor networksACM Transactions on Sensor Networks10.1145/252999910:2(1-24)Online publication date: 31-Jan-2014
https://dl.acm.org/doi/10.1145/2529999
Baratchi MMeratnia NHavinga PSkidmore AToxopeus B(2013)Sensing Solutions for Collecting Spatio-Temporal Data for Wildlife Monitoring Applications: A ReviewSensors10.3390/s13050605413:5(6054-6088)Online publication date: 10-May-2013
https://doi.org/10.3390/s130506054
Yang XJia JZhang SLi Z(2013)Congestion Control Based on Consensus in the Wireless Sensor NetworkInternational Journal of Distributed Sensor Networks10.1155/2013/6323989:9(632398)Online publication date: Jan-2013
https://doi.org/10.1155/2013/632398
Costa DGuedes L(2013)Exploiting the sensing relevancies of source nodes for optimizations in visual sensor networksMultimedia Tools and Applications10.1007/s11042-011-0961-464:3(549-579)Online publication date: 1-Jun-2013
https://dl.acm.org/doi/10.1007/s11042-011-0961-4
Karakaya MQi H(2012)Coverage estimation for crowded targets in visual sensor networksACM Transactions on Sensor Networks10.1145/2240092.22401008:3(1-22)Online publication date: 2-Aug-2012
https://dl.acm.org/doi/10.1145/2240092.2240100
Gasparini LManduchi RGottardi MPetri D(2011)An Ultralow-Power Wireless Camera Node: Development and Performance AnalysisIEEE Transactions on Instrumentation and Measurement10.1109/TIM.2011.214763060:12(3824-3832)Online publication date: Dec-2011
https://doi.org/10.1109/TIM.2011.2147630
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