Development and Implementation of a Monitoring System for STRC with the Aid of Head Detection

Authors

  • Gretchel Karen L. Alcantara Department of Electronics and Communications Engineering, De La Salle University, Manila.
  • Ivan Darren J. Evangelista Department of Electronics and Communications Engineering, De La Salle University, Manila.
  • Jerome Vincent B. Malinao Department of Electronics and Communications Engineering, De La Salle University, Manila.
  • Ofelia B. Ong Department of Electronics and Communications Engineering, De La Salle University, Manila.
  • Reginald Steven DM. Rivera Department of Electronics and Communications Engineering, De La Salle University, Manila.
  • Engr. Leonard U. Ambata Department of Electronics and Communications Engineering, De La Salle University, Manila.

Keywords:

Digital Signal Processing, Head Detection, Monitoring System,

Abstract

The Development and Implementation of a Monitoring System for STRC with the Aid of Head Detection aims to automate the research room operations to increase its efficiency. It consists of a head detection system, website managed database and a mobile application controlled room access. The website and mobile application cater to two types of users namely, the administrator and the students. The website exclusively features announcements and management of equipment inventory both handled by the administrator. The mobile application features an IN/OUT button which manages the users access on the five (5) research rooms in the building. The head detection system detects, tracks and counts each person that enters a research room. The count noted by the system is then compared to the count of students that used the mobile application for room access. The e-mail and SMS notification system observes the comparison of the two counts and sends the appropriate notification to the administrator when there is a violation in the conditions set for the two systems. The database serves as the central point as it holds every information needed by each element in order to communicate with the whole system.

References

S. H. Son, R. C. Beckinger and D. A. Baker, "DRDB: a distributed realtime database server for high-assurance time-critical applications," in Computer Software and Applications Conference, 1997. COMPSAC '97. Proceedings., The Twenty-First Annual International, Washington, DC, 1997.

T. D. Hui, "MICROCONTROLLER-BASED LOCK USING COLOUR SECURITY CODE," 7 June 2013. [Online]. Available: http://portal.fke.utm.my/fkelibrary/files/thendaohui/2013/682_THEN DAOHUI2013.pdf.

S. R. Khan, "Development of Low Cost Private Office Access Control System," International Journal of Embedded Systems and Applications, pp. 1-7, June 2012.

T. O'Leary, "Electromagnetic Locks: Approved, Listed, Recognized & Certified," October 2010. [Online]. Available: http://www.securitron.com/Other/Securitron/Documents/Electromagn etic_Locks_Article.pdf.

M. Piccardi, "Background Subtraction Techniques: A Review," April 2004. [Online]. Available: http://www.cs.nccu.edu.tw/~whliao/es2008/BackgroundSubtractionR eview-Piccardi.pdf.

Z. Kalal, K. Mikolajczyk and J. Matas, "Forward-Backward Error: Automatic Detection of Tracking Failures," in International Conference on Pattern Recognition, Istambul, Turkey, 2010.

D. G. Lowe, "Distinctive Image Features," in International Journal of Computer Vision, 2004.

Campus Component, "GSM Interfacing Board," [Online]. Available: http://www.campuscomponent.com/media/download/GSM%20Modul e.pdf.

Engineers Garage, "Introduction to Image Processing," [Online]. Available: http://www.engineersgarage.com/articles/imageprocessing-tutorial-applications.

Gregor, "Principle Of Work Of Magnetic Door Locks And Their Advantages," The Techno Phobe, [Online]. Available: http://thetechnophobe.com/magnetic_door_locks.html.

D. N. Hassan, "Introduction to Computer Vision and Image Processing," [Online]. Available: http://www.uotechnology.edu.iq/dep-cs/mypdf/subjects/4sw/4ip.pdf.

"Background Subtraction," [Online]. Available: http://www.ics.uci.edu/~dramanan/teaching/cs117_spring13/lec/bg.pd f.

"Background Subtraction for Detection of Moving Objects," [Online]. Available: https://computation.llnl.gov/casc/sapphire/background/background.ht ml.

G. a. P. R. Nebehay, "Consensus-based Matching and Tracking of Keypoints for Object Tracking," in Winter Conference on Applications of Computer Vision, 2014.

G. a. P. R. Nebehay, "Clustering of (Static-Adaptive) Correspondences for Deformable Object Tracking," in Computer Vision and Pattern Recognition, 2015.

D. Müllner, Fastcluster: Fast Hierarchical Agglomerative Clustering Routines for R and Python, Standford University.

S. a. C. M. a. S. R. Y. Leutenegger, "BRISK: Binary Robust Invariant Scalable Keypoints," in Proceedings of the 2011 International Conference on Computer Vision, 2011.

D. G. Viswanathan, "Features from Accelerated Segment Test (FAST)," 2006.

Downloads

Published

2018-02-05

How to Cite

Alcantara, G. K. L., Evangelista, I. D. J., Malinao, J. V. B., Ong, O. B., Rivera, R. S. D., & Ambata, E. L. U. (2018). Development and Implementation of a Monitoring System for STRC with the Aid of Head Detection. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 10(1-6), 159–164. Retrieved from https://jtec.utem.edu.my/jtec/article/view/3685