As inkjet technology becomes more broadly integrated as a core technology in digital fabrication of products ranging from printed electronics to biotech test strips and 3-D structures, increased attention will need to be spent on assessing print head performance over time and characterizing failure modes.Traditionally, print head life testing (sustainability) is performed using print tests and visual inspection to assess elapsed time to the initiation of jet drop-outs. To decrease waste, and to increase efficiency and objectivity, several machine vision-based systems have been developed to assess print head performance during life tests.This paper will introduce several automatic methods that have been developed to address print head life testing using both existing and novel systems.