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Building low-cost wireless image sensor networks: from single camera to multi-camera system

Published: 08 September 2015 Publication History

Abstract

Wireless Image Sensor Networks (WISN) where sensor nodes are equipped with miniaturized visual CMOS cameras to provide visual information is a promising technology for situation awareness, search&rescue or intrusion detection applications. In this paper, we present an off-the-shelf image sensor based on Arduino boards with a CMOS uCamII camera. The image sensor works with raw 128×128 image, implements an image change detection mechanism based on simple-differencing technique and integrates a packet loss-tolerant image compression technique that can run on very limited memory platforms. We detail the performance and energy consumption measures of the various image platforms and highlight how both medium-end and low-end platforms can be supported. From the single-camera system, we describe the extension to a multi-camera system which provides omnidirectional sensing at a very lost cost for large-scale deployment.

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Cited By

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  • (2018)Energy efficient image coding techniques for low power sensor nodes: A reviewAin Shams Engineering Journal10.1016/j.asej.2017.10.004Online publication date: Nov-2018
  • (2017)A Genetic Algorithm for the Generation of Packetization Masks for Robust Image CommunicationSensors10.3390/s1705098117:5(981)Online publication date: 28-Apr-2017
  • (2017)What You See Is What You Test - Augmenting Software Testing with Computer Vision2017 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)10.1109/ICSTW.2017.76(398-400)Online publication date: Mar-2017
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cover image ACM Other conferences
ICDSC '15: Proceedings of the 9th International Conference on Distributed Smart Cameras
September 2015
225 pages
ISBN:9781450336819
DOI:10.1145/2789116
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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  • Escuela Técnica superier de Ingeniería Informática, Universidad de Seville, Spain: Escuela Técnica superier de Ingeniería Informática, Universidad de Seville, Spain

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 08 September 2015

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Author Tags

  1. image processing
  2. multi-camera nodes
  3. resource-constrained design
  4. wireless image sensor networks

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ICDSC '15
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  • Escuela Técnica superier de Ingeniería Informática, Universidad de Seville, Spain

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Cited By

View all
  • (2018)Energy efficient image coding techniques for low power sensor nodes: A reviewAin Shams Engineering Journal10.1016/j.asej.2017.10.004Online publication date: Nov-2018
  • (2017)A Genetic Algorithm for the Generation of Packetization Masks for Robust Image CommunicationSensors10.3390/s1705098117:5(981)Online publication date: 28-Apr-2017
  • (2017)What You See Is What You Test - Augmenting Software Testing with Computer Vision2017 IEEE International Conference on Software Testing, Verification and Validation Workshops (ICSTW)10.1109/ICSTW.2017.76(398-400)Online publication date: Mar-2017
  • (2016)QoS for Long-Range Wireless Sensors Under Duty-Cycle Regulations with Shared Activity Time UsageACM Transactions on Sensor Networks10.1145/297967812:4(1-31)Online publication date: 22-Sep-2016
  • (2015)Deploying a pool of long-range wireless image sensor with shared activity time2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)10.1109/WiMOB.2015.7348026(667-674)Online publication date: Oct-2015

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