Abstract
One of the main limitations of existing monitoring systems is their dependency on the continuous recording of video data. As a result, the system consumes huge power and needs large memory to store this data. The aim of this paper is to present an automated monitoring system that can save memory, as well as measure the target distance precisely based on the motion sensors and ultrasonic sensor. The target is detected by motion sensors and then an ultrasonic sensor is used to measure the target distance. The cross-correlation technique is used to calculate the distance of targets using ultrasonic signal. To obtain high measuring accuracy, noise reduction technique and temperature effect on velocity have been adopted. A series of real-world experiments are conducted with different targets and target positions. The experimental results show that using a noise reduction technique and temperature compensation improve the accuracy of the designed system.
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References
Dong Q (2010) Design of building monitoring systems based on wireless sensor networks. J Wirel Sens Netw 2(9):703–709
Jang W-S, Healy WM, Skibniewski MJ (2008) Wireless sensor networks as a part of a web-based building environmental monitoring system. Autom Constr 17(6):729–736
Jang WS, Healy WM (2010) Wireless sensor network performance metrics for building applications. Energy Build 42(6):862–868
Tessa D, Elena G, James B (2009) Wireless sensor networks to enable the passive house-deployment experiences. Smart sensing and context, vol 5741. Springer, Berlin, pp 177–192
Verma A (2013) A multi layer bank security system. In: International conference on green computing. Communication and conservation of energy (ICGCE), Chennai, pp 914–917
Freer JA, Beggs BJ, Femandez-Canque HL, Chevriert F, Goryashkot A(1995) Moving object surveillance and analysis for camera based security systems. In: International Carnahan conference on security system technology, Sanderstead, pp 67–71
Priyanga M, Raja Ramanan V (2014) Unmanned aerial vehicle for video surveillance using Raspberry Pi. Int J Innov Res Sci Eng Technol 3(3):1715–1720
Gowthaman DR, Bhalamurugan R, Balaji T, Manoj kuma V (2014) Designand modeling of unmanned surface vehicle. In: the proceeding of 2014 international conference on computation of power, energy, information and communication (ICCPEIC), pp 283–289
Liang J, Guan Z (2007) Design of intelligent automatic leveling control system based on ultrasonic distance measuring technology. In: Proceedings of the IEEE international conference on automation and logistics, Jinan, pp 1620–1624
Vigneshwari C, Vimala V, Sumithra G (2013) Sensor based assistance system for visually impaired. Int J Eng Trends Technol (IJETT) 4(10):4338–4343
Gustafsson MG, Stepinski T (1997) Studies of split spectrum processing, optimal detection, and maximum likelihood amplitude estimation using a simple clutter model. Ultrasonics 35:31–52
Chen J, Shi Y, Shi S (1999) Noise analysis of digital ultrasonic nondestructive evaluation system. Press Vessel Pip 76:619–630
Kim J, Udpa L, Udpa S (2001) Multi-stage adaptive noise cancellation for ultrasonic NDE. NDT&E Int 34:319–328
Honarvar F, Sheikhzadeh H et al (2004) Improving the time resolution and signal-to-noise ratio of ultrasonic NDT signals. Ultrasonic 41:755–763
Abbate A, Koay J, Frankel J, Schroeder SC, Das P (1997) Signal detection and noise suppression using a wavelet transform signal processor: application to ultrasonic flaw detection. IEEE Trans Ultrason Ferroelectr Freq Control 44:14–25
Lazaro JC, San Emeterio JL, Ramos A, Fernandez JL (2002) Influence of thresholding procedures in ultrasonic grain noise reduction using wavelets. Ultrasonic 40:263–267
Anibou C, Saidi MN, Aboutajdine D (2015) Classification of textured images based on discrete wavelet transform and information fusion. J Inf Process Syst 11(3):421–437
Binh N (2015) Image contour based on context aware in complex wavelet domain. Human-Centric Comput Inf Sci 2015(5):14
Agarwal J, Singh Bedi S (2015) Implementation of hybrid image fusion technique for feature enhancement in medical diagnosis. Human-Centric Comput Inf Sci 5:3
Patil PB, Kokare MB (2013) Interactive semantic image retrieval. J Inf Process Syst 9(3):349–364
Zhao X, Cao G (2009) A novel de-noising method for heart sound signal using improved thresholding function in wavelet domain. Int Conf Future BioMed Inf Eng FBIE 2009:65–68. doi:10.1109/FBIE.2009.5405795
Li Z, Fan Q, Chang L, Yang X (2014) Improved wavelet threshold denoising method for MEMS Gyroscope. In: 11th IEEE international conference on control and automation (ICCA), Taichung, pp 530–534. doi:10.1109/ICCA.2014.6870975
Islam MDS, Chong U (2013) Detection of uncooperative targets using cross-correlation in oceanic environment. Int J Digit Content Technol Appl (JDCTA) 7(12):105–112
Islam MS, Chong U (2014) Noise reduction of continuous wave radar and pulse radar using matched filter and wavelets. EURASIP J Image Video Process 2014:43. doi:10.1186/1687-5281-2014-43
Andria G, Attivissimo F, Giaquinto N (2001) Digital signal processing techniques for accurate ultrasonic sensor measurement. J Int Meas Confed 30(2):105–114
Liang J, Guan Z (2007) Design of intelligent automatic leveling control system based on ultrasonic distance measuring technology. In: Proceedings of the IEEE international conference on automation and logistics, Jinan
Jang Y, Shin S, Lee J W, Kim S (2007) A preliminary study for portable walking distance measurement system using ultrasonic sensors. In: Proceedings of the 29th annual international conference of the IEEE EMBS Cité Internationale, Lyon
Shrivastava AK, Verma A, Singh SP (2010) Distance measurement of an object or obstacle by ultrasound sensors using P89C51RD2. Int J Comput Theory Eng 2(1):64–68
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This research is supported by University of Ulsan.
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Islam, M.S., Lee, JC. & Chong, U. Design and implementation of an automated monitoring system. J Supercomput 72, 4247–4261 (2016). https://doi.org/10.1007/s11227-016-1723-x
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DOI: https://doi.org/10.1007/s11227-016-1723-x