CFP last date
20 May 2024
Reseach Article

Multi Directional Conductive Metal Detection Robot Control

by K.suresh, K.vidyasagar, Abdul Farooq Basha
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 109 - Number 4
Year of Publication: 2015
Authors: K.suresh, K.vidyasagar, Abdul Farooq Basha
10.5120/19173-0644

K.suresh, K.vidyasagar, Abdul Farooq Basha . Multi Directional Conductive Metal Detection Robot Control. International Journal of Computer Applications. 109, 4 ( January 2015), 1-6. DOI=10.5120/19173-0644

@article{ 10.5120/19173-0644,
author = { K.suresh, K.vidyasagar, Abdul Farooq Basha },
title = { Multi Directional Conductive Metal Detection Robot Control },
journal = { International Journal of Computer Applications },
issue_date = { January 2015 },
volume = { 109 },
number = { 4 },
month = { January },
year = { 2015 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume109/number4/19173-0644/ },
doi = { 10.5120/19173-0644 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:45:08.701294+05:30
%A K.suresh
%A K.vidyasagar
%A Abdul Farooq Basha
%T Multi Directional Conductive Metal Detection Robot Control
%J International Journal of Computer Applications
%@ 0975-8887
%V 109
%N 4
%P 1-6
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

As technology is growing there is a considerable demand on machine interface to the controlling system. Robotics is an era where mechanical structures are powered by interfacing personal computers with the improved software tools. Hyperlink is a standalone program to interact with the devices remotely interfaced with the personal computers. Wireless communication is also a supporting mechanism to regulate the direction and movement of the robotic machines. This paper aims to direct the conductive metal finding robot in all eight directions. An IR sensor assembly is used to position the robot to move with defined angle. Concentric coil type metal detector is used to pinpoint the targeted metal. Offset Quadrature phase shift keyed modulation stream (OQPSK) with 2. 4 G Hz is used for transmitting the information to the remote control section of the robot. The mechanical load calculations are estimated to design the robot. The developed model is best suited on uneven surfaces.

References
  1. Bharath reddy pannala, Dr. R. v. krishnaiah. Design and Implementation of a Bomb Diffusing Surveillance Robot using RF Technology. International journal of VLSI systems Design and Communication Systems, 01 (03): 105- 109, October 2013.
  2. Olaf Diegel. et. al. Improved mecanum wheel design for omni directional robot. Proc. 2002 Australasian Conference on Robotics and automation Auckland, 27-29 november 2002.
  3. Amritanshu Srivastava1, Hrishikesh Narayan Tripathi. GSM Calling based Multi-tasking Robot vehicle with Password protection. International Journal of Advanced Research in a Computer Science and Software Engineering, vol 4 (1): 812-819, January 2014.
  4. Edwardo F. Fukushima, Marc Freese, Toshiaki Matsuzawa. Humanitarian demining robot gryphon – current status and an objective evaluation. International journal on smart sensing and intelligent systems, vol. 1( 3 ): 736-753, September 2008.
  5. K. Prema. et. al. Online intelligent controlled mine detecti-ng robot. International Journal of Computer Applications, 41(17):10-16, March 2012
  6. Reza Abbaspour,vaasa. Design and implementation of multi sensorbased autonomous minesweeping robot. International congress on ultra modern telecommunication and Control Systems and workshops ,443-447: 2010
  7. Premkumar . M. unmanned multi-functional robot using zigbee adopter network for defense application. International Journal of Advanced Research in Computer Engineering & Technology,2 (1): 47-55, January 2013.
  8. Fan Wu, Johnathan Williams. Design and Implementation of a Multi-Sensor Based Object Detecting and Removing Autonomous Robot Exploration System. Journal of Computer and Communications,2(8): 8-16,2014.
  9. Hajime Aoyama et. al. Development of Mine Detection Robot System. International Journal of Advanced Robotic Systems, 4( 2): 229-236, 2007.
  10. Osahor Uche, Oluwaseun Oyedele, and Dani Ishaya. Autonomous Navigation of a Robotic Metal Detector. International Journal of Innovation and Scientific Research, 9 ( 1 ): 150-155,Sep. 2014.
Index Terms

Computer Science
Information Sciences

Keywords

IR Sensor metal detector Hyper link OQPSK