IoT And Fuzzy Logic Based Smart Robot System For The Detection Of Groundmines

The main purpose of this paper is detection of landmines in the war field for saving the human life. For this purpose an autonomous robot is designed which can reach the destination without any human intervention. With the help of this designed robot the bombs which are buried inside the land can be easily found and the location of the bomb can be immediately transmitted to the control room with the help of Internet of things. Fuzzy logic controller has been used for the autonomous movement of the robot. The inputs to the fuzzy control are speed error and variation in speed error. The designed controller is implemented using raspberry pi processor. Ultrasonic sensors are used for the detection of obstacles and for the detection of landmines a metal detector sensor has been used and at the same time if any metal is detected the image of that location is captured and sent through IoT. Thing speak website is used for visualising the data obtained from the sensor unit.

[1]  Majd Ghareeb,et al.  Wireless robo-Pi landmine detection , 2017, 2017 First International Conference on Landmine: Detection, Clearance and Legislations (LDCL).

[2]  Waqar Farooq,et al.  Wirelessly Controlled Mines Detection Robot , 2016, 2016 International Conference on Intelligent Systems Engineering (ICISE).

[3]  V. Abilash,et al.  Ardunio controlled landmine detection robot , 2017, 2017 Third International Conference on Science Technology Engineering & Management (ICONSTEM).

[4]  Sunil Kumar Kashyap,et al.  Application of probability to enhance the performance of fuzzy based mobile robot navigation , 2019, Appl. Soft Comput..

[5]  V. R. Ratnaparkhe A.S.Bhalchandra M.G.Kale.  Sensors For Landmine Detection And Techniques: A Review , 2013 .

[6]  Rajesh Kannan Megalingam,et al.  Swarm based autonomous landmine detecting robots , 2017, 2017 International Conference on Inventive Computing and Informatics (ICICI).

[7]  Przemyslaw Klesk,et al.  Fast Analysis of C-Scans From Ground Penetrating Radar via 3-D Haar-Like Features With Application to Landmine Detection , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[8]  S. S. Dash,et al.  Online control of fuzzy based mine detecting robot using virtual instrumentation , 2012, 2012 International Conference on Computing, Communication and Applications.

[9]  T. Shanmugapriya,et al.  International Journal of Innovative Research in Computer and Communication Engineering , 2014 .

[10]  Paul D. Gader,et al.  Landmine detection with Multiple Instance Hidden Markov Models , 2012, 2012 IEEE International Workshop on Machine Learning for Signal Processing.

[11]  Hichem Frigui,et al.  A multiple instance learning approach for landmine detection using Ground Penetrating Radar , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.

[12]  Xhevahir Bajrami,et al.  Semi Autonomous Mobile Robot for Mine Detection , 2013 .

[13]  H. Farouk,et al.  An Efficient Detection and Classification Method for Landmine Types Based on IR Images Using Neural Network , 2011 .

[14]  Vladimir Petrov,et al.  Model of Fuzzy Regulator of Mobile Robot Motion Control System , 2019, 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus).

[15]  Craig Warren,et al.  Numerical modelling and neural networks for landmine detection using ground penetrating radar , 2015, 2015 8th International Workshop on Advanced Ground Penetrating Radar (IWAGPR).

[16]  Domingo Mery,et al.  A survey of land mine detection technology , 2009 .