Call For Paper Volume:4 Issue:10 Oct'2017 |

Computer Vision Based Mobile Robot with Optimized Memory

Publication Date : 10/07/2015



Author(s) :

Prof Pramod Kumar Naik , Prof Arun S Tigadi , Dr. Hansraj Guhilot.


Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India



Abstract :

Robotics is a day to day evolving research area. The Robotics is an ever green topic where lot of research is going on, Rescue robots with wide variety of application are basically designed to strictly cooperate with rescuers during their wide variety missions. In many critical situations the robot should be at some degree of autonomy in order to effectively communicate effectively in impossible environment. This paper basically deals with the performance analysis human driven robot capable of traversing challenging and dangerous terrain and at the same time communicates wirelessly with the controlling laptop. The heart of robot is the Arduino Duemilanove interfaced with a pair of ZIG-BEE transceiver which communicates with the laptop with the help of Graphical User Interface designed in MATLAB software. The robot also has a special feature that it can also be controlled through voice recognition. The robot uses GPS module to give the GPS co-ordinates and its location can be seen on the map using goggle map. It has also has an inbuilt wireless camera which is controlled independently to ease programming. This camera provides live video streaming of the surroundings and can also takes snapshot of the given area whenever required. This image taken from the camera will be processed to remove noise and obtain a much clearer image. These images will be compressed using DWT and saved in the data based and which may be useful for further processing. The Arduino Duemilanove is a microcontroller based on the ATmega328, has 14 digital input/output pins, 6 analog inputs 16 MHz crystal oscillator, a USB connection and has 2KB of SRAM and 1 KB of EEPROM. Thus SRAM based memory controlled algorithm using MATLAB is designed to control mobile robot. The robot has a metal and fire sensors, whenever either metal or fire is detected the sensor output is high, thus the sensor status on the MATLAB GUI changes red. Experimental results are given to demonstrate the development of the hardware-software module.


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