Edited PPT Robot
Edited PPT Robot
Edited PPT Robot
1VI11EC057
1VI11EC062
P BHARADWAJ REDDY
1VI11EC059
R SHARAN
1VI11EC060
INTRODUCTIO
N
The features of the object such as the color, shape, size can be monitored
OBJECTIVE AND
SCOPE
The major weakness in surveillance is that it rests on the involvement of
BLOCK DIAGRAM
:
Robot
Mobility
Input
Image
Driver for DC
servo motor
Robot
Camera
Control
Wireless
Interface
Microcontroller
Zigbee
Power
Supply
Battery
backed
Image
Processing
MATLAB
ANALOGY
Input Image Phase
Detection of the Object
1: Extracting frames
2: Extracting colour components
3: RGB to grey scale conversion
4: Noise Elimination
5: Elimination of small objects
6: Subtracting background
Object Tracking
Centroid Analysis
Wireless Interface
HARDWARE AND
SOTWARE
HARDWARE:
MICROCONTROLLER (PIC16F877A)
DC SERVO MOTOR
ZIGBEE MODULE
POWER SUPPLY
DIGITAL CAMERA
SOFTWARE:
MATLAB
KIEL COMPILER
APPLICATIONS
Used in Security and Surveillance applications.
Used for tracking and detection of objects in restricted areas.
Used in speed detection.
Used in Industrial process controlling and monitoring.
EXPECTED
RESULT
Using the above hardware and design, the required objective can be achieved.
Other features such as size and shape can also be used for improving the accuracy of
tracking and detection.
REFERENCES
Hou-Tsan Lee, Wei Chuan Lin, Ching Hsiang Huang, Yu Jhih Huang, Wireless Indoor Surveillance Robot, SICE Annual Conference
2011,Waseda University, Tokyo, Japan, September 13-18, 2011.
Kyunghoon Kim, Soonil Bae, and Kwanghak Huh, Intelligent Surveillance and Security Robot Systems,978-1-4244-9123-0/1 2010
IEEE.
Jorg Kriiger, Bertram Nickday, Oliver Schulz, Image-Based 3D-Surveillance in Man-Robot-Cooperation,0-7803-8513 6/4/2004 IEEE.
J. R. White, ti. W. Harvey, and K. A. Farnstrom, Testing On Mobile Surveillance Robot At A Nuclear Power Plant, CH24133/87/0000/0714, 0 1987 IEEE.
Scott Y harmon, For Ground Surveillance Robot (GSR): An Autonomous Vehicle Designed to Transit Unknown Terrain, IEEE Journal
On Robotics And Automation, VOL. RA-3, NO. 3, JUNE 1987.
Final Report on Development on Key Components with Visual Recognition and Motion Control & Construction on Integrated
Surveillance Robot System, Korea Ministry on Knowledge Economy, 2010.
Yang Xiao Yanping Zhang, Dept. on Comput. Sci., Univ. on Alabama, Tuscaloosa, AL, USA, Surveillance and Tracking System with
Collaboration on Robots, Sensor Nodes, and RFID Tags, ICCCN 2009, p1 , Aug. 2009.
Gary Bradski, Adrian Kaehler, Vadim Pisarevsky, Learning-Based Computer Vision with Intels Open Source Computer Vision
Library, Intel Technology Journal, Vol 9,Issue 2, p119~131, 19 May 2005.
Luo, R.C. Chou, Y.T. Liao, C.T. Lai, C.C. Tsai, A.C. ,Nat. Chung Cheng Univ., Min Hsiung, NCCU Security Warrior: An Intelligent
Security Robot System, IEEE IECON 2007, p2960, Nov. 2007.