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Smart Trolley Follower using Vision based Technique

Published on June 2016 by Seema Udgirkar, Monish Lalchandani, Rohit Bhonsle, Adityatulpule, Swapnil Satpute
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National Conference on Advances in Computing, Communication and Networking
Foundation of Computer Science USA
ACCNET2016 - Number 7
June 2016
Authors: Seema Udgirkar, Monish Lalchandani, Rohit Bhonsle, Adityatulpule, Swapnil Satpute
6ec24254-7e8d-4e11-a662-c5943a27b7a6

Seema Udgirkar, Monish Lalchandani, Rohit Bhonsle, Adityatulpule, Swapnil Satpute . Smart Trolley Follower using Vision based Technique. National Conference on Advances in Computing, Communication and Networking. ACCNET2016, 7 (June 2016), 8-10.

@article{
author = { Seema Udgirkar, Monish Lalchandani, Rohit Bhonsle, Adityatulpule, Swapnil Satpute },
title = { Smart Trolley Follower using Vision based Technique },
journal = { National Conference on Advances in Computing, Communication and Networking },
issue_date = { June 2016 },
volume = { ACCNET2016 },
number = { 7 },
month = { June },
year = { 2016 },
issn = 0975-8887,
pages = { 8-10 },
numpages = 3,
url = { /proceedings/accnet2016/number7/25011-2306/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference on Advances in Computing, Communication and Networking
%A Seema Udgirkar
%A Monish Lalchandani
%A Rohit Bhonsle
%A Adityatulpule
%A Swapnil Satpute
%T Smart Trolley Follower using Vision based Technique
%J National Conference on Advances in Computing, Communication and Networking
%@ 0975-8887
%V ACCNET2016
%N 7
%P 8-10
%D 2016
%I International Journal of Computer Applications
Abstract

This paper introduces a vision-based object tracking robot which is driven by wheels and controlled by a computer along with software. The objective of this paper is to design a robot which is automatically controlled by computer to track and follow a colored object. Emphasis is given on precision vision based robotic applications. Image acquisition by the robot is achieved by ANDROID based camera, then it is sent to image processing software for further processing. The overall paper describes a visual sensor system used in the field of robotics for identification and tracking of the object.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Image Processing Android Atmega- 32(avr Family Blobbing)