Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/158339
Title: Development of a vision system for grasping of micro-objects
Authors: Koh, Ming Ren
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Koh, M. R. (2022). Development of a vision system for grasping of micro-objects. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/158339
Project: A1027-211 
Abstract: In 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.
URI: https://hdl.handle.net/10356/158339
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)

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