CFP last date
20 January 2025
Reseach Article

An Improved and Cost Effective Radio Frequency based Object Detection System

by Okegbile Samuel Dayo, Segun Aina, Ogunleye Gbenga K.
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 174 - Number 5
Year of Publication: 2017
Authors: Okegbile Samuel Dayo, Segun Aina, Ogunleye Gbenga K.
10.5120/ijca2017915401

Okegbile Samuel Dayo, Segun Aina, Ogunleye Gbenga K. . An Improved and Cost Effective Radio Frequency based Object Detection System. International Journal of Computer Applications. 174, 5 ( Sep 2017), 33-39. DOI=10.5120/ijca2017915401

@article{ 10.5120/ijca2017915401,
author = { Okegbile Samuel Dayo, Segun Aina, Ogunleye Gbenga K. },
title = { An Improved and Cost Effective Radio Frequency based Object Detection System },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2017 },
volume = { 174 },
number = { 5 },
month = { Sep },
year = { 2017 },
issn = { 0975-8887 },
pages = { 33-39 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume174/number5/28406-2017915401/ },
doi = { 10.5120/ijca2017915401 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:21:23.000528+05:30
%A Okegbile Samuel Dayo
%A Segun Aina
%A Ogunleye Gbenga K.
%T An Improved and Cost Effective Radio Frequency based Object Detection System
%J International Journal of Computer Applications
%@ 0975-8887
%V 174
%N 5
%P 33-39
%D 2017
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The need to develop a system capable of locating misplaced objects in homes has resulted in many efforts toward developing object detection system. While few systems are already available in markets, these systems have been largely unaffordable and less efficient due to high market price, short range of coverage among others. This paper attempts to design and implement an object detection system that when produced in large quantity can be affordable by the majority and provide solutions to the short-range problem experienced in the existing systems, thereby eliminating the stress of finding lost items in homes. Existing object detection systems were carefully studied to understand the design process, the cost implication and why the systems have been less efficient. Radio frequency based detection model capable of detecting lost items was designed and implemented using various components such as encoder, decoder, transmitter, receiver and buzzer. The performance of the designed system was evaluated using detection based metric. The developed object detection system was further compared with the existing systems available in markets using the cost in market and the technology used. The result showed that the proposed system is cost effective and will be affordable to people living in low income countries.

References
  1. Mowad, M. A. E. L., Fathy, A., and Hafez, A. (2014). Smart home automated control system using android application and microcontroller. International Journal of Scientific & Engineering Research, 5(5), 935-939.
  2. George, A. (2010). U.S. Patent No. 7,844,368. Washington, DC: U.S. Patent and Trademark Office.
  3. Michael, G. G. (2004). U.S. Patent No. 6,802,471. Washington, DC: U.S. Patent and Trademark Office.
  4. Srinivasan, P., Shuvetha Antonia, U., and Anu Rekha, A. (2014). Locate Misplaced Objects.
  5. Nishigaki, M., and Saka, M. (2004). U.S. Patent No. 6,683,969. Washington, DC: US Patent and Trademark Office.
  6. Frei, P., Mohler, E., Braun-Fahrländer, C., Fröhlich, J., Neubauer, G., and Röösli, M. (2012). Cohort study on the effects of everyday life radio frequency electromagnetic field exposure on non-specific symptoms and tinnitus. Environment international, 38(1), 29-36.
  7. Nakada, T., Kanai, H., and Kunifuji, S. (2005). A support system for finding lost objects using spotlight. In Proceedings of the 7th international conference on Human computer interaction with mobile devices & services(pp. 321-322). ACM.
  8. Feldmann, S., Kyamakya, K., Zapater, A., and Lue, Z. (2014, June). An Indoor Bluetooth-Based Positioning System: Concept, Implementation and Experimental Evaluation. In International Conference on Wireless Networks (Vol. 272).
  9. Parkinson, W., and Runyon, J. (2007). U.S. Patent Application No. 11/111,790.
  10. Opoku, S. K. (2012). An indoor tracking system based on bluetooth technology. arXiv preprint arXiv:1209.3053.
  11. Sindhoori, S., and Kumar, N. S. Android based Secured Vehicle Key Finder System.
  12. Teller, E., King, M. T., Mannby, C. F., and Smith, M. J. (2014). U.S. Patent No. 8,810,392. Washington, DC: U.S. Patent and Trademark Office.
  13. Sarbani, D., Neha, K., Purushottam, S., Subhash, K., and Phiroz, S. (2016) “Object Detection and Tracking Robot using Android, Arduino and Open CV”. International Journal of Computer Science and Mobile Computing, Vol.5 Issue.4, April- 2016.
Index Terms

Computer Science
Information Sciences

Keywords

Tagged item Electromagnetic spectrum Encoder Decoder RF Transmitter RF receiver.