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Design and Construction of an Audio Surveillance System

by I. A. Oguche, J. U. Agber, N. S.Tarkaa
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Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 6 - Number 10
Year of Publication: 2017
Authors: I. A. Oguche, J. U. Agber, N. S.Tarkaa
10.5120/cae2017652569

I. A. Oguche, J. U. Agber, N. S.Tarkaa . Design and Construction of an Audio Surveillance System. Communications on Applied Electronics. 6, 10 ( Apr 2017), 21-27. DOI=10.5120/cae2017652569

@article{ 10.5120/cae2017652569,
author = { I. A. Oguche, J. U. Agber, N. S.Tarkaa },
title = { Design and Construction of an Audio Surveillance System },
journal = { Communications on Applied Electronics },
issue_date = { Apr 2017 },
volume = { 6 },
number = { 10 },
month = { Apr },
year = { 2017 },
issn = { 2394-4714 },
pages = { 21-27 },
numpages = {9},
url = { https://www.caeaccess.org/archives/volume6/number10/726-2017652569/ },
doi = { 10.5120/cae2017652569 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-09-04T19:56:31.934987+05:30
%A I. A. Oguche
%A J. U. Agber
%A N. S.Tarkaa
%T Design and Construction of an Audio Surveillance System
%J Communications on Applied Electronics
%@ 2394-4714
%V 6
%N 10
%P 21-27
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Surveillance is the monitoring of the behavior, activities, or other changing information, usually of people and events for the purpose of influencing, managing, directing, or protecting them. In this paper, an audio surveillance system was designed, simulated and constructed by replacing discrete components with an integrated circuit(CD2003) with the view of taking advantage of electret microphone ability to capture sound of low frequency and transmit it to the receiver where the signal can be retrieved. The audio signal was then amplified using two bipolar junction transistors (BJT), modulated and transmitted via an antenna. A provision for recording of the retrieved signal was made using a telephone set for continual logs of information for retrieval purposes at the receiver section. The circuit was designed and fully implemented with a designed output power of 0.3watts which transmitted within 8-12meters radius and waveforms from proteus 8 professional and multism software were obtained and compared for performance and evaluation. This short range of coverage was designed and implemented with the aim of avoiding major interference from the surrounding since the system is meant to survey a small area like banking hall, bulk cash rooms and other sensitive areas.

References
  1. Dempsey M. 2007. “Biometrics and the body as information: normative issues of the socio-technical coding of the body.” Surveillance as Social Sorting: Privacy, Risk, and Automated Discrimination. Verified Identity Pass, Inc.
  2. O’Brien, T. 2009. Public Audio Surveilance Hits London.
  3. Peterson J. K. 2014. Understanding Surveillance Technologies: Spy Devices, CRC Press, Third Edition. ISBN: 084938320X
  4. Webster, W. R., Töpfer, E., Klauser, F. R., and Raab, C. D. 2011. Revisiting the surveillance camera revolution: Issues of governance and public policy. Introduction to part one of the Special issue. Information Polity. 16, 297–301.
  5. Agustina, J.R., Clavell, G.G. The impact of CCTV on fundamental right and crime prevention strategies: The case of the Catalan Control Commission of Video surveillance Devices. Computer law & security review. 2011, 27, 168-74.
  6. Bai, Y. W., Xie, Z. L., Li, Z. H. 2011. Design and Implementation of a Home Embedded Surveillance System with Ultra-Low Alert Power. IEEE Transactions on Consumer Electronics.75153 9.
  7. Loomans, M. J. H., Koeleman, C. J. 2011. Low-Complexity Wavelet-Based Scalable Image & Video Coding for Home-Use Surveillance. IEEE Transactions on Consumer Electronics, 57, 507 15.
  8. Rougier, C., Meunier, J., St-Arnaud, A., Rousseau, J. 2011. Robust Video Surveillance for Fall Detection Based on Human Shape Deformation. IEEE Transactions on Circuits and Systems for Video Technology, 21, 611-22.
  9. Jeong, J., Gu, Y., He, T., Du, D. H. C. 2010. Virtual Scanning Algorithm for Road Network Surveillance. IEEE Transactions on Parallel and Distributed Systems. 21, 1734-49.
  10. Su, P. C., Wu, C. Y. 2010. A Joint Watermarking and ROI Coding Scheme for Annotating Traffic Surveillance Videos.EURASIP Journal on Advances in Signal Processing. Pp. 1-14.
  11. Sumalee, A., Zhong, R. X., Pan, T. L., Szeto, W. Y. 2011. Stochastic cell transmission model (SCTM): A stochastic dynamic traffic model for traffic state surveillance and assignment. Transportation Research Part B. 2011, 45, 507-5033.
  12. Yuan J. L., Vehicle Surveillance with a Generic, Adaptive, 3D Vehicle Model. IEEE Transactions on Pattern Analysis and Machine Intelligence. 33, 1457-69.
  13. Luo, X., Wu, Y., Huang, Y., Zhang, J. 2011. Vehicle flow detection in real-time airborne traffic surveillance system. Transactions of the Institute of Measurement and Control/ 33, 880–97.
  14. Monperrus, M., Long, B., Champeau, J., Hoeltzener, B., Marchalot, G., Jézéquel, J. M. 2013. Model-Driven Architecture of a Maritime Systematic Review and Classification on Video Surveillance Systems 97. MECS I.J.
  15. Szpak, Z. L., Tapamo, J. R. 2011. Maritime surveillance: Tracking ships inside a dynamic background using a fast level-set. Expert Systems with Applications. 38, 6669–80.
  16. Conte, D., Foggia, P., Percannella, G., Tufano, F., and Vento, M. A. 2010. Method for Counting Moving People in Video Surveillance Videos.EURASIP Journal on Advances in Signal Processing, Pp. 1-10.
  17. Takahashi, M., Fujii, M., Shibata, M., Satoh, S. I. 2010. Robust Recognition of Specific Human Behaviors in Crowded Surveillance Video Sequences.EURASIP Journal on Advances in Signal Processing, Pp. 1-14.
  18. Amato, A., Lecce, V. D. 2011. Semantic Classification of Human Behaviors in Video Surveillance Systems. Journal WSEAS Transactions on Computers archive, 10, 343-52.
  19. Heilmann, E. 2011. Video surveillance and security policy in France: From regulation to Widespread acceptance. Information Polity, 16, 369-77.
  20. Räty, T. D. 2010. Survey on Contemporary Remote Surveillance Systems for Public Safety. IEEE Transactions on Systems, Man, and Cybernetics—Part C: Applications and Reviews, 40, 493-515.
  21. Paola, D. D., Milella, A., Cicirelli, G., Distante, A. 2010. An Autonomous Mobile Robotic System for Surveillance of Indoor Environments, International Journal of Advanced Robotic Systems, 7, 19-26.
  22. Zhang, J., Song, G., Qiao, G., Meng, T., Sun, H. 2011. An Indoor Security System with a Jumping Robot as the Surveillance Terminal, IEEE Transactions on Consumer Electronics.
  23. John W. K., 2011. Hierarchical and Modular Surveillance Systems in ITS IEEE Intelligent Systems, 26, 10-5.
  24. Bhavya, D. 2012. Super-heterodyne FM Receiver Design and Simulation University of Florida, Gainesville, FL, 32608, USA.
  25. Hongwu, T., and Fredrik, S. 2003. An RF Amplifier for a FM - Radio Receiver 88-108 MHz, Radio Project, Electroscience, Lund University.
  26. Areeb, A. 2011. Wireless USB-FM Transmitter using ROHM Semiconductor chip in VQFP-64 Packaging PhD fellow in Electronics & Communication, Izmir Institute of Technology, Turkey MSc Electronics & Communication, University of Teesside, UK 12/B.
  27. Chunbing, P. 1999. The Vision Machine, Trans. J. Rose. London: British Film Institute.
Index Terms

Computer Science
Information Sciences

Keywords

Electret microphone surveillance antenna waveform monitoring retrieved

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