Stone A. – TechConnect Briefs

Automated Classification of Defected Images by Means of Machine Learning for Improved Analysis of Vehicle Undercarriages

Giegerich W.V., Stone A., Forte III L., Schneider P.J., Oh K.W., University at Buffalo, US

This research focuses on the development of a vehicle undercarriage image quality machine learning model. The model returns the quality of the image across several categories which are used for classifying image defects. Through analysis [...]

Additive Manufacturing of 3D Face Masks for Biometric Spoofing

Christie L., Mancuso K., Fedorishin D., Schneider P., Stone A., Oh K., University at Buffalo, US

Biometric security systems such as Apple’s FaceID have replaced passwords for mobile device security, leav- ing users susceptible to biometric spoofing attacks. In response, Apple has implemented an anti-spoofing scheme, looking for autonomous ocular movement [...]

Post-Processing Effects on 3D Dynamic Models Created from Additive Manufacturing

Fedorishin D., Stone A., Eadie N., Christie L., Schneider P., Oh K., University at Buffalo, US

Recent advancements in 3D printing have made it a more viable option for rapid and inexpensive modeling of three dimensional (3D) dynamic systems. This shift in modeling techniques comes with inherent issues. The rough finish [...]