Paper Title

Object Tracking Mobile Robot With Visual Feedback and Zigbee

Authors

Er. Pragati Pal , Pandey Ajitkumar Rajendra , Shaikh Iqra Rashid Ali , Shukla Ankur Rakesh

Keywords

Object Tracking, Robot, Internet Protocol (IP), Matlab, Zigbee Wireless Communication Module, Arduino.

Abstract

With the advancements in technologies we have entered an era where human intervention from various processes can be eliminated by the use of robots designed to achieve the specific tasks. Object tracking and monitoring is just another field in which 24x7 human assistance is demanded. To obtain this particular task we have proposed this project. The aim of the project is to implement an Object Tracking Mobile Robot. The proposed system consists of a Personal Computer (PC), a mobile robot, an Internet Protocol (IP) based camera and a Zigbee series 2 wireless communication module. The IP based camera is placed on the mobile robot which provides the video feed of the arena to the PC which in turn processes the data using Matlab with the help of Track Learn Detect (TLD) algorithm and provides the control signals to the Arduino on robot through the Zigbee module for wireless communication.

How To Cite

"Object Tracking Mobile Robot With Visual Feedback and Zigbee", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.2, Issue 5, page no.25 - 27, April-2017, Available :https://ijsdr.org/papers/IJSDR1705005.pdf

Issue

Volume 2 Issue 5, April-2017

Pages : 25 - 27

Other Publication Details

Paper Reg. ID: IJSDR_170338

Published Paper Id: IJSDR1705005

Downloads: 000347038

Research Area: Engineering

Country: Thane, Maharashtra, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1705005

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1705005

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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