Sound detection technology and Heron's Law for secure monitoring system

Pratibhushan Neupane; Abeer Alsadoon; Mustafa S. Kadhm; P. W.C. Prasad; Manoranjan Paul; Amr Elchouemi; Ashutosh Kumar Singh

doi:10.1109/COMITCon.2019.8862249

Sound detection technology and Heron's Law for secure monitoring system

Pratibhushan Neupane, Abeer Alsadoon, Mustafa S. Kadhm, P. W.C. Prasad, Manoranjan Paul, Amr Elchouemi, Ashutosh Kumar Singh

Research output: Book chapter/Published conference paper › Conference paper › peer-review

Abstract

The intruder's image and sound detection did not employ effetely in the various types of existing monitoring systems. The monitoring systems capture all wanted, unwanted objects in the monitoring zone, and do not detect objects in the blind monitoring zone. Therefore, this paper aims to increase the accuracy of monitoring system by detecting only the desired object's image, sound or both accurately. The proposed system used the sound detection capability in order to increase the system accuracy. Different sound detection algorithms are used to detect the sound that obtained by various sensors, then Heron's law is implemented to avoid the sound from external sources and prevent to track the undesired objects. The obtained results increased the detection accuracy by 30% comparing to the existing systems results. The proposed system provides the ability to detect the desired intruder inside and outside monitoring zone and avoiding other small objects, which curtail the tracking errors rate by approximately 11%. The various sound detection algorithms implemented in the systems solve the problem of detecting the objects in the blind monitoring zone, where a location is not needed to track objects. Likewise, the Herons law is implemented to avoid the external source as well as to track the smaller object except for intruders.

Original language	English
Title of host publication	Proceedings of the International Conference on Machine Learning, Big Data, Cloud and Parallel Computing
Subtitle of host publication	Trends, Prespectives and Prospects, COMITCon 2019
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	531-537
Number of pages	7
ISBN (Electronic)	9781728102115
DOIs	https://doi.org/10.1109/COMITCon.2019.8862249
Publication status	Published - Feb 2019
Event	2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon 2019) - Manav Rachna International Institute of Research and Studies, Faridabad, India Duration: 14 Feb 2019 → 16 Feb 2019 https://ieeexplore.ieee.org/xpl/conhome/8851231/proceeding (proceedings) https://web.archive.org/web/20190703061013/https://comitcon.in/ (Conference details)

Publication series

Name	Proceedings of the International Conference on Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Prespectives and Prospects, COMITCon 2019

Conference

Conference	2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon 2019)
Abbreviated title	Trends, Perspectives and Prospects
Country/Territory	India
City	Faridabad
Period	14/02/19 → 16/02/19
Other	ComITCon 2019 is the inaugural gathering of the annual technology forum of the Computer Science and Engineering Department at Manav Rachna International Institute of Research and Studies (MRIIRS). This year, the themes of the conference are in the areas of Machine Learning, Big Data, Cloud and Parallel Computing. The forum is intended to stimulate and promote research in these and related areas.
Internet address	https://ieeexplore.ieee.org/xpl/conhome/8851231/proceeding (proceedings) https://web.archive.org/web/20190703061013/https://comitcon.in/ (Conference details)

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10.1109/COMITCon.2019.8862249

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Neupane, P., Alsadoon, A., Kadhm, M. S., Prasad, P. W. C., Paul, M., Elchouemi, A., & Singh, A. K. (2019). Sound detection technology and Heron's Law for secure monitoring system. In Proceedings of the International Conference on Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Prespectives and Prospects, COMITCon 2019 (pp. 531-537). Article 8862249 (Proceedings of the International Conference on Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Prespectives and Prospects, COMITCon 2019). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/COMITCon.2019.8862249

Neupane, Pratibhushan ; Alsadoon, Abeer ; Kadhm, Mustafa S. et al. / Sound detection technology and Heron's Law for secure monitoring system. Proceedings of the International Conference on Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Prespectives and Prospects, COMITCon 2019. IEEE, Institute of Electrical and Electronics Engineers, 2019. pp. 531-537 (Proceedings of the International Conference on Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Prespectives and Prospects, COMITCon 2019).

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title = "Sound detection technology and Heron's Law for secure monitoring system",

abstract = "The intruder's image and sound detection did not employ effetely in the various types of existing monitoring systems. The monitoring systems capture all wanted, unwanted objects in the monitoring zone, and do not detect objects in the blind monitoring zone. Therefore, this paper aims to increase the accuracy of monitoring system by detecting only the desired object's image, sound or both accurately. The proposed system used the sound detection capability in order to increase the system accuracy. Different sound detection algorithms are used to detect the sound that obtained by various sensors, then Heron's law is implemented to avoid the sound from external sources and prevent to track the undesired objects. The obtained results increased the detection accuracy by 30% comparing to the existing systems results. The proposed system provides the ability to detect the desired intruder inside and outside monitoring zone and avoiding other small objects, which curtail the tracking errors rate by approximately 11%. The various sound detection algorithms implemented in the systems solve the problem of detecting the objects in the blind monitoring zone, where a location is not needed to track objects. Likewise, the Herons law is implemented to avoid the external source as well as to track the smaller object except for intruders.",

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note = "Includes bibliographical references.; 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon 2019), Trends, Perspectives and Prospects ; Conference date: 14-02-2019 Through 16-02-2019",

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Neupane, P, Alsadoon, A, Kadhm, MS, Prasad, PWC , Paul, M, Elchouemi, A & Singh, AK 2019, Sound detection technology and Heron's Law for secure monitoring system. in Proceedings of the International Conference on Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Prespectives and Prospects, COMITCon 2019., 8862249, Proceedings of the International Conference on Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Prespectives and Prospects, COMITCon 2019, IEEE, Institute of Electrical and Electronics Engineers, pp. 531-537, 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon 2019), Faridabad, India, 14/02/19. https://doi.org/10.1109/COMITCon.2019.8862249

Sound detection technology and Heron's Law for secure monitoring system. / Neupane, Pratibhushan; Alsadoon, Abeer; Kadhm, Mustafa S. et al.
Proceedings of the International Conference on Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Prespectives and Prospects, COMITCon 2019. IEEE, Institute of Electrical and Electronics Engineers, 2019. p. 531-537 8862249 (Proceedings of the International Conference on Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Prespectives and Prospects, COMITCon 2019).

Research output: Book chapter/Published conference paper › Conference paper › peer-review

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T1 - Sound detection technology and Heron's Law for secure monitoring system

AU - Neupane, Pratibhushan

AU - Alsadoon, Abeer

AU - Kadhm, Mustafa S.

AU - Prasad, P. W.C.

AU - Paul, Manoranjan

AU - Elchouemi, Amr

AU - Singh, Ashutosh Kumar

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Y1 - 2019/2

N2 - The intruder's image and sound detection did not employ effetely in the various types of existing monitoring systems. The monitoring systems capture all wanted, unwanted objects in the monitoring zone, and do not detect objects in the blind monitoring zone. Therefore, this paper aims to increase the accuracy of monitoring system by detecting only the desired object's image, sound or both accurately. The proposed system used the sound detection capability in order to increase the system accuracy. Different sound detection algorithms are used to detect the sound that obtained by various sensors, then Heron's law is implemented to avoid the sound from external sources and prevent to track the undesired objects. The obtained results increased the detection accuracy by 30% comparing to the existing systems results. The proposed system provides the ability to detect the desired intruder inside and outside monitoring zone and avoiding other small objects, which curtail the tracking errors rate by approximately 11%. The various sound detection algorithms implemented in the systems solve the problem of detecting the objects in the blind monitoring zone, where a location is not needed to track objects. Likewise, the Herons law is implemented to avoid the external source as well as to track the smaller object except for intruders.

AB - The intruder's image and sound detection did not employ effetely in the various types of existing monitoring systems. The monitoring systems capture all wanted, unwanted objects in the monitoring zone, and do not detect objects in the blind monitoring zone. Therefore, this paper aims to increase the accuracy of monitoring system by detecting only the desired object's image, sound or both accurately. The proposed system used the sound detection capability in order to increase the system accuracy. Different sound detection algorithms are used to detect the sound that obtained by various sensors, then Heron's law is implemented to avoid the sound from external sources and prevent to track the undesired objects. The obtained results increased the detection accuracy by 30% comparing to the existing systems results. The proposed system provides the ability to detect the desired intruder inside and outside monitoring zone and avoiding other small objects, which curtail the tracking errors rate by approximately 11%. The various sound detection algorithms implemented in the systems solve the problem of detecting the objects in the blind monitoring zone, where a location is not needed to track objects. Likewise, the Herons law is implemented to avoid the external source as well as to track the smaller object except for intruders.

KW - Height estimation

KW - Heron's law

KW - Intruder detection

KW - Monitoring system

KW - Sound detection algorithms

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BT - Proceedings of the International Conference on Machine Learning, Big Data, Cloud and Parallel Computing

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Neupane P, Alsadoon A, Kadhm MS, Prasad PWC , Paul M, Elchouemi A et al. Sound detection technology and Heron's Law for secure monitoring system. In Proceedings of the International Conference on Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Prespectives and Prospects, COMITCon 2019. IEEE, Institute of Electrical and Electronics Engineers. 2019. p. 531-537. 8862249. (Proceedings of the International Conference on Machine Learning, Big Data, Cloud and Parallel Computing: Trends, Prespectives and Prospects, COMITCon 2019). doi: 10.1109/COMITCon.2019.8862249

Sound detection technology and Heron's Law for secure monitoring system

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