Upload
others
View
1
Download
0
Embed Size (px)
Citation preview
IOT BASED CAMOUFLAGE ARMY ROBOT
Skanda H N[1], Smitha S Karanth[2], Suvijith S [3], Swathi K S [4],Dr. P N Sudha [5] [1][2][3][4] Department of ECE, K S Institute of Technology, Bangalore, India [5] HOD, Department of ECE, K S Institute of Technology, Bangalore, India
[1][email protected] [5][email protected]
Abstract - Science is a field developing in a rapid phase in order to create the technology which can make
human life easier. Nowadays, many innovations and inventions are made in the field of defence to reduce
the loss of human lives. One such invention is Camouflage Robot that plays a vital role in reducing the
damages that occur during disasters. This robot is designed to work on the principle of Chameleon's
camouflaging technique which is one of the most natural and primitive methods for avoiding detection.
The main objective of this paper is to implement a multi-functional army robot consisting of various
sensors. The proposed system consists of a wireless camera for live video streaming surveillance and a
colour sensor is used as a part of camouflaging feature. In the proposed model cloud based IOT interface
with Blynk app and Wi-Fi module are used for retrieving, storing and recovering information to increase
the range of communication.
Keywords - IoT, Camouflage, Surveillance, Blnyk
I.INTRODUCTION
In the modern combat techniques employed by various militant forces across the globe, stealth and ability to
maneuver in inaccessible areas plays a key role. The idea of the proposed system is to use robots which are
capable of disguising itself in order to infiltrate the enemy campsite [1]. The word robot means "A machine
which is capable of performing complex series of actions automatically that is programmable by a computer."
These robots used in defence are usually employed with the integrated system, including cameras, sensors and
video screens [2]. The main motive behind Camouflage Robot is to reduce human losses in terrorist attacks or
military operations. Many military organizations take the help of robots in the risk prone areas. Camouflage
Robot acts as a virtual spy that can quietly enter into enemy area and send information via camera to the
controller [10]. The movement of the robot is remotely controlled using a mobile. Robots can be made to
interact and cooperate more closely with human beings by incorporating additional features such as robustness
and autonomy. A versatile perception and recording of different parameters in this robot is accomplished using a
multi-sensor platform. In this system an interfacing module is incorporated to remotely sense the object
parameters using IoT (Internet of Things). Finally, the purpose of the project is to design, manufacture and
operate a robot using a remote controlled device. A small mobile robot is designed which can duplicate its
colors similar to the platform it moves on, appearing as camouflaged to the outside world.
II. PROPOSED METHODOLOGY
A Camouflage Army Robot is designed in such a way that it can reproduce the color independently at various
areas with specific spots of the ground surface which allows the robot to mock up as a checkerboard of multiple
colors i.e. the various colors it drives over. In the implemented system the movement of the robot can be
controlled in any required direction using IoT platform and smart phone which receives the information from
the sensors and camera.
The main processor used in the proposed system is Arduino Mega, which is a microcontroller board based on
the ATmega2560. The ATmega series is much more advanced since it has many more peripherals that can be
easily programmed when compared to 8051 Microcontroller. An ultrasonic sensor is incorporated which
measures the distance to an object by using sound waves and helps in detecting the obstacles [5]. Here a passive
JASC: Journal of Applied Science and Computations
Volume VI, Issue V, May/2019
ISSN NO: 1076-5131
Page No:2614
device, PIR (passive infrared sensor) or PID (passive infrared detector) sensor is used which measures infrared
light radiating from objects in its field of view by detecting the movement/motion of living things. This sensor
works on reflection and radiation properties [6]. A LM35 temperature sensor is employed which measures the
temperature through an electrical signal with the help of thermocouple or RTD (resistance temperature detector).
The operating range of LM35 is from -55°C to 150°C. To detect the leakage of different gases such as Alcohol,
Benzene, CH4, Hexane, LPG, CO (carbon monoxide), a MQ3 Gas sensor is used which has fast response time
and high sensitivity. Its sensitivity can be adjusted by using the potentiometer. A metal detector is used for
finding metal inclusions hidden within objects, metal objects buried underground and also for detecting the
presence of nearby metallic devices such as bombs and guns. The color sensor employed detects the color of the
ground, usually in the RGB scale [3]. A DC motor which is a class of rotatory electrical machine is employed
and that converting direct current to mechanical energy. Here 2 DC motors are used for the movement of the
robot which is controlled via mobile (Android application). Also, Node MCU ESP8266 is deployed as a Wi-Fi
module which includes firmware that runs on the ESP8266 Wi-Fi SoC.
For the software implementation, we have used Arduino IDE in the proposed system to program the Arduino
mega board. An integrated development environment (IDE) is a software application that provides
comprehensive facilities to computer programmers required for software development. It generally consists of a
source code editor built-in automation tools and a debugger. The Arduino IDE supports C and C++ languages
using special rules of code structuring. The android application used in this system is BLYNK, which is an
internet based tool that helps in mapping the hardware circuitry onto android phones. Here the robot movement
and other sensor data values are displayed in Blynk application. For the purpose of live video streaming, a
wireless IP address based Wi-Fi camera is used[2]. The live video streaming can be viewed on a smart phone by
making use of an android application V380S.
III. BLOCK DIAGRAM AND FLOWCHART
Fig 1: Transreceiver Block Diagram of Camouflage Army Robot
JASC: Journal of Applied Science and Computations
Volume VI, Issue V, May/2019
ISSN NO: 1076-5131
Page No:2615
Fig 2: Transreceiver Block Diagram of Camouflage Army Robot Control Unit
Fig 3: Flowchart of Working of Camouflage Army Robot
Mobile used as
Control Unit
BLYNK
APPLICATION
RGB LED
JASC: Journal of Applied Science and Computations
Volume VI, Issue V, May/2019
ISSN NO: 1076-5131
Page No:2616
IV. RESULTS
A low cost Army Robot with Camouflaging feature is designed and manufactured as shown in figures (Fig 4-7).
The movement of the robot is controlled using Blynk app and also the output of the all the sensors is displayed
on the mobile screen as shown in Fig 8.
Fig 4: Front View of Designed Robot
Fig 5: Red Color Detection
Fig 6: Green Color Detection
JASC: Journal of Applied Science and Computations
Volume VI, Issue V, May/2019
ISSN NO: 1076-5131
Page No:2617
Fig 7: Blue Color Detection
Fig 8: BLYNK App
V. CONCLUSION AND FUTURE SCOPE
The Camouflage Army Robot is highly favourable in circumstances where it is impossible for human beings to
reach or monitor. The implementation of our system is purely driven by usage of PIR sensors, Ultrasonic
sensors, DC motors and camera etc. Overall, this robot is a multi-functional device that reduces the strain on
humans during calamities. The camouflage robot system provides a helping hand to our security forces in
detection of intruders and trespassers. Moreover, the camouflaging feature makes it difficult to detect the robot
by naked human eye. There is scope to improve the system by configuring it with multi-colour camouflaging as
our implemented system camouflages only in RGB scale.
VI. ACKNOWLEDGEMENT
We would like to thank our guide Dr. P. N. Sudha, HOD of Electronics and Communication Department, for her
valuable guidance as well as her suggestions for creating this paper on IOT BASED CAMOUFLAGE ARMY
ROBOT. This work was carried out at K S Institute of Technology.
REFERENCES
[1] Akash Ravindran, Akshay Premkumar, "CAMOUFLAGE TECHNOLOGY", Department of Electronics &
Communication Engineering, IJETCSE , 2014.
JASC: Journal of Applied Science and Computations
Volume VI, Issue V, May/2019
ISSN NO: 1076-5131
Page No:2618
[2] K. S. Kumar, M. R. Elara, E. A. Martinez and R. C. Ambrosio, "Designing and experimenting bio-inspired
chromatic behaviours in surveillance robot," 2015 10th International Conference on Information,
Communications and Signal Processing (ICICS), Singapore, 2015.
[3] A. M. Siddek, "Depth-level based camouflaging using RGB-D sensor," 2017 IEEE International
Conference on Systems, Man, and Cybernetics (SMC), Banff, AB, pp. 2349-2354, 2017.
[4] A. Rodic, D. Katie and G. Mester, "Ambient intelligent robot-sensor networks for environmental
surveillance and remote sensing," 7th International Symposium on Intelligent Systems and Informatics,
Subotica, 2009, pp. 39-44, 2009.
[5] A. Leelasantitham and P. Chaiprapa, "A study of performances on an automatic IEEE 802.11g wireless-
standard robot using infrared sensors," 2008 IEEE International Conference on Robotics and Biomimetics,
Bangkok, pp. 1556-1560, 2009.
[6] B. Ammar, N. Rokbani and A. M. Alimi, "Learning system for standing human detection," 2011 IEEE
International Conference on Computer Science and Automation Engineering, Shanghai, pp. 300-304, 2011.
[7] A. Alexander and M. M. Dharmana, "Object detection algorithm for segregating similar coloured objects
and database formation," 2017 International Conference on Circuit ,Power and Computing Technologies
(ICCPCT), Kollam, pp. 1-5, 2017.
[8] N. Oza and N. B. Gohil, "Implementation of cloud based live streaming for surveillance," 2016
International Conference on Communication and Signal Processing (ICCSP), Melmaruvathur, pp.
0996-0998, 2016.
[9] Brett Browning and Manuela Veloso “Real-Time, Adaptive Colour-based Robot Vision” August 2005,
Conf.loc. Edmonton, Alta., Canada, 2005.
[10] Minling Huang, Weijie Xia, Linlin Huang, Ying Zhou, Yanjun Pan, “Passive Ground Camouflage Target
Recognition based on Gray Feature and Texture Feature In SAR Images” October 2016 Conf.loc: Guangzhou, China, 2016.
[11] Skanda H. N, Smitha S Karanth, Suvijith S, Swathi K. S, “IOT Based Camouflage Army Robot,” survey paper, Department of Electronics & Communication Engineering, KSIT, JETIR, 2019.
JASC: Journal of Applied Science and Computations
Volume VI, Issue V, May/2019
ISSN NO: 1076-5131
Page No:2619