Project Showcase
View summaries of Tauber team projects from recent years.
Sort by year, sponsoring company, industry, or project solution.
View summaries of Tauber team projects from recent years.
Sort by year, sponsoring company, industry, or project solution.
The purpose of the project is to evaluate the use of deep learning as an alternative to traditional machine vision inspection methods used in General Motors' assembly line.
The Tauber team will evaluate and test deep learning tools and algorithms and determine whether an opportunity for large-scale implementation exists. The insights developed will result in improved accuracy, as well as reduced downtime and cost.
Student Team:
Mabel Chan – EGL (BSE & MSE in Computer Science Engineering)
Konstantinos Chiotinis – Master of Business Administration
Soo Yeon (Sean) Lee – EGL (BSE & MSE in Computer Science Engineering)
Project Sponsors:
Amar Amad – Engineering Manager
William Keller – Sr. Manufacturing Project Engineer
Faculty Advisors:
Jeff Alden – College of Engineering
Sanjeev Kumar – Ross School of Business