SMART SECURITY SURVEILLANCE ROVER

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1 Volume 116 No , ISSN: (printed version); ISSN: (on-line version) url: doi: /ijpam.v116i12.8 ijpam.eu SMART SECURITY SURVEILLANCE ROVER N.Suganthi 1, R.Arun 2, D.Saranya 3 and N.Vignesh 4 1,2,3,4 Information technology, Kumaraguru college of technology, Coimbatore, Tamil Nadu, India. suganthi.n.it@kct.ac.in arun294lr@gmail.com, saranyadurai64@gmal.com, vikidj@live.com Abstract India s land border has extended over 15,207km with the coastal area extending over 7517 km in length. A total of ninety-two districts over seventeen states are meant for the bordered districts. Large tracts of India s political borders square measure controversial, poorly demarcated or not demarcated by natural features. In addition, the risk of conventional international disputes these unsure borders additionally gift the challenge of cross-border infiltration, smuggling, illegal migration, and other forms of criminal activity. Hence, the human labor is wasted in the form of mere monitoring activities. Instead it could be used productively in case of attacks and defense scenarios where the human intervention is really necessary. The surveillance robot serves as a security monitoring device which replaces the human security at less critical areas where humans are really not necessary. The recorded evidence also hence take necessary action with automatic alerts from the robot when unusual activity occurs. KEYWORDS : Internet of Things (IoT), Image Processing, Ultrasonic Sensor, Raspberry Pi, Arduino. 1 Introduction Now a days, Artificial Intelligence analysis targets principally on the style and development of autonomous and compliant movable robots for unstructured and natural environments like planet surfaces instead of structured industrial environments. These robots will accomplish the tasks like security, police work 67

2 in unstructured and natural environments. This category of robots will be used for tasks within the venture of some environments where human isn't capable of monitoring. 2 Literature Survey There are some proposal based on obstacle detection[1]. This system that consists of a mobile robot, controlled by Internet, which has camera mounted and a PIR sensor for detecting the living bodies. User will be able to control the robot through internet, thus, providing the wireless control of robot. Also information regarding the detection of living bodies will be given to the user on the webpage from the PIR sensor and simultaneously user will be able to access the video transmission from the robot. An autonomous intelligent robot[2] which identifies trespasser using PIR motion sensor, alerts security personnel by short messaing service using GSM and captures image of the trespasser using camera in Android device and mails this image to specified id using Android based application. Sarath Chandran.C and Anjaly [3] presented a novel video based coal mine rescue robot. If the coal mine disaster occurs, the situation will be unknown and it is very dangerous to go to the mine without knowing any environment situation. The first mission of the rescuers is to detect the mine situations by considering various parameters. Alireza Ghaffarkhah and Yasamin Mostofi [15] proposed a working in which a video moving object-tracking method is proposed. The segmentation of the video is done by contextual clustering. Clustering is an important method in data analysis because of its ability to discover the inherent features in the data. The fundamental concept in clustering techniques is to group a given set of objects into subsets according to properties associated with each object, so that the members in each individual subset share some similar properly defined features. Hence, a multitarget human tracking is attempted. K. Damodhar et al [16] proposes a system that is designed to develop a video 68

3 monitoring, capturing the image and to store video frames in SD (Secure Digital) memory mounted on the robot for further verification. A mobile application has been developed that interfaces smart phone with the security system over Wi-Fi (Wireless Fidelity) network. 3 PROPOSED SYSTEM Ultrasonic sensor is being connected to Arduino Uno and the corresponding program is deployed for the motion of the rover within the Arduino. The rover consists of four wheels, a relay connected to each set of wheels. When an obstacle is detected, the signal is sent to Arduino and the rover is turned to the suitable direction according to the program. Raspberry Pi is connected to the following - Wi-Fi repeater, web camera, GPS module and Arduino Uno. Windows 10 IoT core is installed in the Raspberry Pi. The Pi is connected with 5V, 2A battery power supply. When the rover is in autonomous motion the image is captured for every second and it is updated within the folder in the Pi. The image is sent to the remote PC through Wi-Fi and the image is being monitored by the security people in the host area. When the rover is controlled manually through the remote host, the intrusion is detected by capturing each frame and image processing is performed. In case of any difference found, the remote device will receive an alert message. GPS module is connected to the Raspberry Pi in order to find the current location of the rover. The GPS statement is decoded to find the direction, timing, location and lot more. The GPS statement we receive should be sent to the satellite must be at least three or more so that it becomes valid. The color in the webserver represents the manual control of the bot where each color represents the direction for the bot. 4 Implementation A. Rover movement: Arduino is used for two mode of action (Fig.1). The Remote Control mode, where the rover is controlled manually from remote 69

4 device through the web server connecting it with an internet connection. This is done when the signal is passed from the Raspberry Pi to Arduino making it as a slave and Raspberry pi being the master controls the movement of the rover through the slave. The movement of the robot is controlled with keys for all four directions besides with start and stop function in the web server. During autonomous mode the rover is programmed through the Arduino Uno while the ultrasonic sensor detects in case of any obstacle and changes its direction accordingly. Fig.1. Flow diagram for movement. B. Obstacle detection: Ultrasonic module is used for obstacle detection. Ultrasonic sensor is connected to Arduino Uno and the program for calculating the distance for obstacle detection is deployed in it instead of PIR sensor which would detect the obstacles only in the straight line path [2]. If the obstacle is detected it sends the signal to the arduino and the direction of the rover will be changed according to which it is programmed. The entire system block diagram is shown in fig 3. C. Getting location: GPS module is connected to the Arduino UNO in order to find the current location of the bot. The GPS statement is being sent as a set of packets of data (Fig.2) so that it can be decoded to find 70

5 required data (i.e.) direction, timing, location and lot more. The GPS statement we receive should be sent by at least three or more satellite such that it becomes valid. Fig.2.Gps data packets. D. Image processing: Web camera is used for capturing the images, of about 2 per second instead of sending more number of images as it increases the network traffic[6]. The image processing is done in raspberry pi using C# instead of MATLAB[5]. Only the images are taken and processed instead of video [7] as the images are enough.we can view the images in the remote host which is sent through internet. Multiple object detection and trailing in outside setting may be a difficult task owing to the issues raised by less lighting conditions, variation in human poses, shape, size, clothing, etc. In case if the image is dark, the exposure will be increased with the image processing techniques and similarly vice versa. During motion, the surveillance system detects other moving objects and identify them as humans, animals, vehicles. For this purpose Image can be split into several sections and comparison of the segments is performed 71

6 5 COMPARISION Fig.3.Block diagram of the system. Ultrasonic sensor is connected to Arduino Uno and the program for distance calculation for obstacle detection is deployed in it of PIR sensor which would detect the obstacles only in the straight line path[1].the image processing is done in raspberry pi using C# instead of MATLAB[5]. Only the images or taken and processed instead of video[7] as the images are enough.the Processed image is sent to the remote Pc at desired frequency which is approximately 2 per second for reducing the network traffic instead of sending more number of frames.these images are sent through the Wi-Fi and image is being monitored by the security people in the host area instead of using receiver and transmitter[11] which is enabled only for transmitting over short distances. GPS module is connected to the Raspberry Pi in order to find the current location of the rover[15] 6 CONCLUSION: The surveillance robot serves as a security monitoring device which replaces the human security at less critical areas where humans are really not necessary without compromising security. The outcome of this project deals with the recorded evidences of images when an unusual activity occurs and alerts to the remote host immediately. 72

7 7 FUTURE ENHANCEMENTS: The future work of robot will solely be limited by our imagination. This extremely customizable chassis was designed in order that the user will easily add on components. The map creation ought to be added and rover ought to be able to return to the source. A night vision mode might even be enforced in addition to video streaming instead of image being sent to remote host. REFERENCES [1] Dr. Shantanu K. Dixit, Mr. S. B. Dhayagonde, Design and Implementation of e-surveillance Robot for Video Monitoring and Living Body Detection, International Journal of Scientific and Research Publications, Volume 4, Issue 4, April ISSN [2] C.M.Naveen Kumar,Dr.B.Ramesh2, Prof. G. Shivakumar, J.R.Manjunath, Android Based Autonomous Intelligent Robot for Border Security, IJISET - International Journal of Innovative Science, Engineering & Technology, Vol. 1 Issue 5, July [3] Sarath Chandran.C and Anjaly k, Real time video controlled traction for surveillance robots in coal mine, International Journal of Innovative Research in Electrical, Electronics, Instrumentation and Control Engineering, Vol. 2, Issue 1, January [4] S.Pratheepa, Dr.Purushothaman Srinivasan, Surveillance Robot For Tracking Multiple Moving Targets, International Journal of Scientific & Engineering Research, Volume 2, Issue 3, March ISSN [5] Aji Joy, Ajith P Somaraj, Amal Joe, Muhammed Shafi, Nidheesh T M Ball Tracking Robot Using Image Processing and Range Detection, International Journal of Innovative Research in Computer and Communication Engineering Vol. 2, Issue 3, March 2014 ISSN(Online):

8 [6] Jay Visariya, Gaurav Gandhi, Haifa Bagdadi and Sanman Dalvi, Third Eye-Office Automation using Image Processing, International Journal on Recent and Innovation Trends in Computing and Communication ISSN: Volume: 3 Issue: 3. [7] A.Sivasoundari, S.Kalaimani, M.Balamurugan, Wireless Surveillance Robot with Motion Detection and Live Video Transmission, International Journal of Emerging Science and Engineering (IJESE) ISSN: , Volume-I, Issue-6 April [8] Anjali Parate, Apurva Parad, Anurag Shinde, Jasmin Untawale, Mobile Controlled Robot For Surveillance Application, International Journal of Engineering Research and Applications (IJERA) ISSN:

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