Skip to main content

Data Analysis of Automated Monitoring System Based on Target Features

  • Conference paper
  • First Online:
Book cover Advances in Computer Science and Ubiquitous Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 373))

Abstract

Automated monitoring system provides a potential technique for monitoring the indoor environment. Traditional automated monitoring systems are very expensive. This paper presents a cheap automated monitoring system which is based on the motion sensors and ultrasonic sensor. This automated monitoring system allows the users to access information directly on the web site through browser or Wireless Mobile Terminals at any time. Cross correlation is used to calculate the distance of targets using ultrasonic signal. We demonstrate the effectiveness of our system by analyzing the echo signals. We conducted a series of real-world experiments with different targets and target positions. Additionally, we did experiment and analyzed the ultrasonic signal between transmitter and receiver directly without echo signals. The experimental result shows the reliability of the system.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Boonsawat, V., Ekchamanonta, J., Bumrungkhet, K., Kittipiyakul, S.: Xbee wireless sensor networks for temperature monitoring. In: ECTI-CARD 2010, pp. 10–14 (2010)

    Google Scholar 

  2. Dong, Q.: Design of Building Monitoring Systems Based on Wireless Sensor Networks. Journal of Wireless Sensor Network 2(9), 703–709 (2010)

    Article  Google Scholar 

  3. Jang, W.-S., Healy, W.M., Skibniewski, M.J.: Wireless sensor networks as a part of a web-based building environmental monitoring system. Automation in Construction 17(6), 729–736 (2008)

    Article  Google Scholar 

  4. Jang, W.S., Healy, W.M.: Wireless Sensor Network Performance Metrics for Building Applications. Energy and Buildings 42(6), 862–868 (2010)

    Article  Google Scholar 

  5. Tessa, D., Elena, G., James, B.: Wireless sensor networks to enable the passive house- deployment experiences. In: Smart Sensing and Context, pp. 177–192. Springer, Berlin HeIdelberg (2009)

    Google Scholar 

  6. Verma, A.: A multi layer bank security system. In: 2013 International Conference on Green Computing, Communication and Conservation of Energy (ICGCE), Chennai, pp. 914–917 (2013)

    Google Scholar 

  7. Freer, J.A., Beggs, B.J., Femandez-Canque, H.L., Chevriert, F., Goryashkot, A.: Moving object surveillance and analysis for camera based security systems. In: International Carnahan Conference on Security System Technology, Sanderstead, pp. 67–71, October 18–20, 1995

    Google Scholar 

  8. Priyanga, M., Rajaramanan, V.: Unmanned Aerial Vehicle for Video Surveillance Using Raspberry Pi. International Journal of Innovative Research in Science, Engineering and Technology 3(3), 1715–1720 (2014)

    Google Scholar 

  9. Gowthaman, D.R., Bhalamurugan, R., Balaji, T., Manoj kumar, V.: Design and modeling of unmanned surface vehicle. In: The Proceeding of 2014 International Conference on Computation of Power, Energy, Information and Communication (ICCPEIC), pp. 283–289 (2104)

    Google Scholar 

  10. Islam, M.S., Chong, U.: Detection of Uncooperative Targets Using Cross-Correlation in Oceanic Environment. International Journal of Digital Content Technology and its Applications (JDCTA) 7(12), August 2013

    Google Scholar 

  11. Islam, M.S., Lee, J.C., Chong, U.P.: Unmanned monitoring system using motion detection and ultrasonic signals. In: Proc. of the Second Intl. Conf. on Advances in Information Processing and Communication Technology - IPCT 2015, pp. 84–88 (2015). doi:10.15224/978-1-63248-044-6-71

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to U. P. Chong .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer Science+Business Media Singapore

About this paper

Cite this paper

Islam, M.S., Lee, J.C., Shin, J.P., Chong, U.P. (2015). Data Analysis of Automated Monitoring System Based on Target Features. In: Park, DS., Chao, HC., Jeong, YS., Park, J. (eds) Advances in Computer Science and Ubiquitous Computing. Lecture Notes in Electrical Engineering, vol 373. Springer, Singapore. https://doi.org/10.1007/978-981-10-0281-6_21

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-0281-6_21

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0280-9

  • Online ISBN: 978-981-10-0281-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics