Internet video based cloud multisensor fusion for remote services

Hsin C. Fu, Hsiao-Tien Pao, C. L. Tseng

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

This paper proposes integrated video techniques, cloud computing, and multisensor data fusion for remote services over Internet. The proposed remote service approach includes three levels of different remote diagnoses: Level (1): Video and audio interaction between customer and remote service sites; Level (2): Signal and data collection from customer to remote service sites; and Level (3): Multisensor data fusion at cloud computing server. The proposed remote services have been successfully tested and evaluated for its performance: (1) 85% of technical manpower saving, (2) 90% of service response time saving, (3) 60% of maximum time to recovery (MTTR) saving, and (4) 95% of service cost saving. In the near future, we intend to implement automated diagnosis and repairing suggestion mechanism to further improve the efficiency of technical manpower of the proposed remote diagnosis and maintenance cloud platform.

Original languageEnglish
Title of host publicationFrontiers of Manufacturing Science and Measuring Technology
Pages713-717
Number of pages5
DOIs
StatePublished - 6 Jun 2011
Event2011 International Conference on Frontiers of Manufacturing Science and Measuring Technology, ICFMM 2011 - Chongqing, China
Duration: 23 Jun 201124 Jun 2011

Publication series

NameAdvanced Materials Research
Volume230-232
ISSN (Print)1022-6680

Conference

Conference2011 International Conference on Frontiers of Manufacturing Science and Measuring Technology, ICFMM 2011
CountryChina
CityChongqing
Period23/06/1124/06/11

Keywords

  • Cloud computing
  • Fault diagnosis
  • Internet video
  • Multisensor fusion
  • Remote service

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  • Cite this

    Fu, H. C., Pao, H-T., & Tseng, C. L. (2011). Internet video based cloud multisensor fusion for remote services. In Frontiers of Manufacturing Science and Measuring Technology (pp. 713-717). (Advanced Materials Research; Vol. 230-232). https://doi.org/10.4028/www.scientific.net/AMR.230-232.713