Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorKoh, Ming Renen_US
dc.identifier.citationKoh, M. R. (2022). Development of a vision system for grasping of micro-objects. Final Year Project (FYP), Nanyang Technological University, Singapore.
dc.description.abstractIn this report, we propose a vision system for robot grasping in complex environments. Achieving an accurate grasp of a target object is dependent on the vision system and a certain tracking ability. Object detection methods are proposed to determine sharp edges on different types of objects. Hence this report studies and evaluates various methods to correctly detect sharp edges of objects such as edge and object detection algorithms using OpenCV as well as state-of-the-art Artificial Intelligence algorithms using YOLOV4. Implementing such algorithms require data preparation of different datasets and training of the Model used in YOLOV4 to achieve accurate detection of sharp edges on objects.en_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleDevelopment of a vision system for grasping of micro-objectsen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorCheah Chien Chernen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
item.fulltextWith Fulltext-
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
  Restricted Access
2.92 MBAdobe PDFView/Open

Page view(s)

Updated on Sep 23, 2023


Updated on Sep 23, 2023

Google ScholarTM


Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.