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Automatic Security Monitoring and Alert System through Sound Analysis

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Daniel Isoso Machanje, Joseph Onderi Orero

Daniel Isoso Machanje and Joseph Onderi Orero. Automatic Security Monitoring and Alert System through Sound Analysis. International Journal of Computer Applications 169(8):1-12, July 2017. BibTeX

	author = {Daniel Isoso Machanje and Joseph Onderi Orero},
	title = {Automatic Security Monitoring and Alert System through Sound Analysis},
	journal = {International Journal of Computer Applications},
	issue_date = {July 2017},
	volume = {169},
	number = {8},
	month = {Jul},
	year = {2017},
	issn = {0975-8887},
	pages = {1-12},
	numpages = {12},
	url = {},
	doi = {10.5120/ijca2017914686},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


Insecurity is a common scenario, especially in developing countries such as Kenya, where many households and institutions are accountable of their own security, forcing them to implement manual processes of securing their surroundings. These manual means include the deployment of untrained and ill-equipped security personnel, who barely have any skills to combat any potential criminals.

There is a need to introduce an automatic means of monitoring and recognition within the vicinity of an environment in cases of criminal and distress scenarios. Such a system will be able to eliminate the physical placement of security guards within a vicinity, thus improving personnel privacy and reducing expenses while at the same time, increasing effectiveness with regard to security monitoring and alerting in case of incidences.

In this study, an Automatic Security Monitoring and Alert System through Sound Analysis is proposed. The proposed system will be able to monitor the vicinity through sound analysis, and be able to broadcast an alert in case of a security breach. The system will be able to detect sound variations in the environment and alert security agents on the other end, who will respond to the emergency. An automatic analysis of sound, that will include abnormal sound variations based on the pitch measured in decibels on the client’s end of the listened sound will be responsible for determining the need for triggering the system into action.

A mobile application was developed to facilitate the demonstration of the proposed solution, gaining an acceptability rate of 84% by the users.


  1. Armorvox. Voice versus speech: Voice biometrics compared to speech recognition, 2013.
  2. Jiangfan Feng and Yanhong Liu. Wifi-based indoor navigation with mobile gis and speech recognition. Int. J. of Computer Science, 9(6), 2012.
  3. Rob Huddleston. Android Fully Loaded. John Wiley & Sons, 2012.
  4. Commonwealth Human Rights Initiative. The kenya police service - commonwealth human rights initiative, 2013.
  5. Anish Joshi. Active web alert service for rule based alerting in sensor web an event based approach. International Institute for Geo-information Science and Earth Observation MS Thesis, 2005.
  6. Moses Kemibaro. The rise of low-cost android smartphones in kenya could mean the end for blackberry and nokia., 2012.
  7. Wichuda Kowtanapanich, Yordphol Tanaboriboon, and Witaya Chadbunchachai. An integration of hand-held computers, gps devices, and gis to improve the effeciency of ems data system. Journal of the Eastern Asia Society for Transportation Studie.
  8. Petros Maragos, Alex Potamianos, and Patrick Gros. Multimodal processing and interaction: audio, video, text, volume 33. Springer Science & Business Media, 2008.
  9. Michael J McGrath and Cliodhna N´i Scanaill. Sensor Technologies: Healthcare, Wellness and Environmental Applications. Apress, 2013.
  10. Kennedy Mkutu. The private security industry in kenya: Issues and challenges. In Private Military and Security Companies, pages 177–201. Springer, 2007.
  11. Mobithinking. Global mobile statistics 2013 part a: Mobile subscribers; handset market share; mobile operators., 2013.
  12. Manuel Mora. Research methodologies, innovations and philosophies in software systems engineering and information systems. IGI Global, 2012.
  13. MozquitoBytes. Be quiet - the noise alert., 2013.
  14. Mithun Kumar Ranganath. Safety notification broadcast system. PhD thesis, San Diego State University, 2012.
  15. Philip Tresadern, Chris McCool, Norman Poh, Pavel Matejka, Abdenour Hadid, Christophe Levy, TF Cootes, and Sebastien Marcel. Mobile biometrics (mobio): Joint face and voice verification for a mobile platform. IEEE pervasive computing, 99, 2012.


Security, Automatic, Sound, Mobile, Monitoring, Alert