Vision-based golf ball locator (VBGL)

Current applications of vision based robotic systems item recognition thru color, size and shape, lane following, and item sorting. The problems mostly encountered with these vision systems are their strict requirements such as constant lighting condition and non-occlusion of target objects. The Vis...

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Main Authors: Ang, Arnel Jose G., Cortez, Anthony Brian C., Lozano, Nimrod Tristan M., Pelobello, Ray Gerard V.
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Language:English
Published: Animo Repository 2006
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Online Access:https://animorepository.dlsu.edu.ph/etd_bachelors/14289
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Institution: De La Salle University
Language: English
id oai:animorepository.dlsu.edu.ph:etd_bachelors-14931
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spelling oai:animorepository.dlsu.edu.ph:etd_bachelors-149312021-11-15T14:16:29Z Vision-based golf ball locator (VBGL) Ang, Arnel Jose G. Cortez, Anthony Brian C. Lozano, Nimrod Tristan M. Pelobello, Ray Gerard V. Current applications of vision based robotic systems item recognition thru color, size and shape, lane following, and item sorting. The problems mostly encountered with these vision systems are their strict requirements such as constant lighting condition and non-occlusion of target objects. The Vision-Based Golf Ball Locator seeks to improve these systems by giving them adaptability on certain changes in lighting and partial occlusions. The VBGL is designed as a prototype system to aid in the collection of golf balls in a driving range. The use of such a system is expected to reduce if not prevent hazards encountered by people working in golf driving ranges. The VBGL is designed for the detection and collection of golf balls. It uses photoelectric sensors to guide its path and to detect if an object is within the path of the system. It uses a mounted camera for its vision, taking a snapshot of the image if an object is in its path. It uses a personal computer for controlling the movement and image processing. With the aid of these components, the robot was able to detect golf balls with an accuracy of 100% provided that golf balls are within camera range, lighting conditions remain favorable and partial occlusions do not exceed 50%. Retrieval accuracy was also 100%, as long as the retrieval mechanism remains unobstructed during retrieval. 2006-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/14289 Bachelor's Theses English Animo Repository Golf balls Robotics Computer Sciences
institution De La Salle University
building De La Salle University Library
continent Asia
country Philippines
Philippines
content_provider De La Salle University Library
collection DLSU Institutional Repository
language English
topic Golf balls
Robotics
Computer Sciences
spellingShingle Golf balls
Robotics
Computer Sciences
Ang, Arnel Jose G.
Cortez, Anthony Brian C.
Lozano, Nimrod Tristan M.
Pelobello, Ray Gerard V.
Vision-based golf ball locator (VBGL)
description Current applications of vision based robotic systems item recognition thru color, size and shape, lane following, and item sorting. The problems mostly encountered with these vision systems are their strict requirements such as constant lighting condition and non-occlusion of target objects. The Vision-Based Golf Ball Locator seeks to improve these systems by giving them adaptability on certain changes in lighting and partial occlusions. The VBGL is designed as a prototype system to aid in the collection of golf balls in a driving range. The use of such a system is expected to reduce if not prevent hazards encountered by people working in golf driving ranges. The VBGL is designed for the detection and collection of golf balls. It uses photoelectric sensors to guide its path and to detect if an object is within the path of the system. It uses a mounted camera for its vision, taking a snapshot of the image if an object is in its path. It uses a personal computer for controlling the movement and image processing. With the aid of these components, the robot was able to detect golf balls with an accuracy of 100% provided that golf balls are within camera range, lighting conditions remain favorable and partial occlusions do not exceed 50%. Retrieval accuracy was also 100%, as long as the retrieval mechanism remains unobstructed during retrieval.
format text
author Ang, Arnel Jose G.
Cortez, Anthony Brian C.
Lozano, Nimrod Tristan M.
Pelobello, Ray Gerard V.
author_facet Ang, Arnel Jose G.
Cortez, Anthony Brian C.
Lozano, Nimrod Tristan M.
Pelobello, Ray Gerard V.
author_sort Ang, Arnel Jose G.
title Vision-based golf ball locator (VBGL)
title_short Vision-based golf ball locator (VBGL)
title_full Vision-based golf ball locator (VBGL)
title_fullStr Vision-based golf ball locator (VBGL)
title_full_unstemmed Vision-based golf ball locator (VBGL)
title_sort vision-based golf ball locator (vbgl)
publisher Animo Repository
publishDate 2006
url https://animorepository.dlsu.edu.ph/etd_bachelors/14289
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