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2. Utilizing Deep Learning and Computer Vision to Detect Defects in a 3D Printed Product in a Manufacturing Environment

open_access
Open Access
Author:
Farkas, Alyson
Title:
Utilizing Deep Learning and Computer Vision to Detect Defects in a 3D Printed Product in a Manufacturing Environment
Area of Honors:
Letters, Arts, and Sciences (Abington)
Keywords:
transfer learning
deep learning
3D printing
robot arm
manufacturing defects
blemish detection
MATLAB
neural network
quality assurance
robotics
engineering
computer vision
artificial intelligence
File:
Download Farkas_Alyson_Thesis_.pdf
Thesis Supervisors:
Robert Louis Avanzato, Thesis Supervisor
Dave Ruth, Thesis Honors Advisor