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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Boonsawat, V., Ekchamanonta, J., Bumrungkhet, K., Kittipiyakul, S.: Xbee wireless sensor networks for temperature monitoring. In: ECTI-CARD 2010, pp. 10–14 (2010)
Dong, Q.: Design of Building Monitoring Systems Based on Wireless Sensor Networks. Journal of Wireless Sensor Network 2(9), 703–709 (2010)
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)
Jang, W.S., Healy, W.M.: Wireless Sensor Network Performance Metrics for Building Applications. Energy and Buildings 42(6), 862–868 (2010)
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)
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)
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
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)
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)
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
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
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights 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)