Friction Stir WeldingFriction stir welding is an effective solid-state joiningJoining method but the barrier to entry remains high due to theAluminum technical skills required and the cost to reach production. The use of machine learningMachine learning techniques has the potential to reduce the barrier to entry through enhanced operator feedback and closed-loop control. Temperature controlTemperature control has been shown to be an effective method to maintain the desired grain structure and properties of metal alloys. The purpose of this effort was to create a non-contact temperature estimation method and surface quality classification by evaluating weld surface images. Using process images of the weld surface, thermocouple data, and expert labels, two ResNet-Style Convolutional Neural networks were trained to predict the temperature of an AL-7075 weld using images alone as well as evaluate surface finish and flash. Both techniques show promise with both their reliability of results and viability in use in future real-time closed-loop control.