1. Utilizing Deep Learning and Computer Vision to Detect Defects in a 3D Printed Product in a Manufacturing Environment 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 learningdeep learning3D printingrobot armmanufacturing defectsblemish detectionMATLABneural networkquality assuranceroboticsengineeringcomputer visionartificial intelligence File: Download Farkas_Alyson_Thesis_.pdf Thesis Supervisors: Robert Louis Avanzato, Thesis SupervisorDave Ruth, Thesis Honors Advisor
