A microcontroller based motion control system for robotic eyes

Robotic eyes in this project refer to vision capability of a robot that mimic the human eyes to interface with the real world. They have been used in more and more applications such as in surveillance system, or as an integrated part of a humanoid robot. In this project, two low cost webcams are use...

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Bibliographic Details
Main Author: Zheng, Jun.
Other Authors: Low Kay Soon
Format: Final Year Project (FYP)
Language:English
Published: 2009
Subjects:
Online Access:http://hdl.handle.net/10356/17886
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author Zheng, Jun.
author2 Low Kay Soon
author_facet Low Kay Soon
Zheng, Jun.
author_sort Zheng, Jun.
collection NTU
description Robotic eyes in this project refer to vision capability of a robot that mimic the human eyes to interface with the real world. They have been used in more and more applications such as in surveillance system, or as an integrated part of a humanoid robot. In this project, two low cost webcams are used as input of the robot eyes to identify and track a moving object. The input video is processed in real time with background estimation technique. Consequently, a moving object can be differentiate from the background and its movements will be computed to drive a pair of biaxial dc servo motor system so that the cameras could follow the object similar to a pair of typical human eyes. To control the dc servo motors, a high performance 16-bit microcontroller dsPIC is used. A PID controller is designed to perform a close loop feedback position control for the motors. This thesis covers both the hardware and software design of the robotic eyes system, as well as discussion on the results and problems encountered. Furthermore, recommendations for probable future developments are suggested.
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spelling ntu-10356/178862023-07-07T16:15:33Z A microcontroller based motion control system for robotic eyes Zheng, Jun. Low Kay Soon School of Electrical and Electronic Engineering DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering Robotic eyes in this project refer to vision capability of a robot that mimic the human eyes to interface with the real world. They have been used in more and more applications such as in surveillance system, or as an integrated part of a humanoid robot. In this project, two low cost webcams are used as input of the robot eyes to identify and track a moving object. The input video is processed in real time with background estimation technique. Consequently, a moving object can be differentiate from the background and its movements will be computed to drive a pair of biaxial dc servo motor system so that the cameras could follow the object similar to a pair of typical human eyes. To control the dc servo motors, a high performance 16-bit microcontroller dsPIC is used. A PID controller is designed to perform a close loop feedback position control for the motors. This thesis covers both the hardware and software design of the robotic eyes system, as well as discussion on the results and problems encountered. Furthermore, recommendations for probable future developments are suggested. Bachelor of Engineering 2009-06-17T06:08:21Z 2009-06-17T06:08:21Z 2009 2009 Final Year Project (FYP) http://hdl.handle.net/10356/17886 en Nanyang Technological University 71 p. application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
Zheng, Jun.
A microcontroller based motion control system for robotic eyes
title A microcontroller based motion control system for robotic eyes
title_full A microcontroller based motion control system for robotic eyes
title_fullStr A microcontroller based motion control system for robotic eyes
title_full_unstemmed A microcontroller based motion control system for robotic eyes
title_short A microcontroller based motion control system for robotic eyes
title_sort microcontroller based motion control system for robotic eyes
topic DRNTU::Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering
url http://hdl.handle.net/10356/17886
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