A confidence prediction system for metal fill visualization using Electrical Capacitance Tomography

Electrical capacitance tomography systems have gained increasing acceptance, though there are some problems associated with ECT systems. The mathematical complexity of image reconstruction makes visualization of the metal fill difficult. This paper focuses on the design and analysis of a system that uses information from the electrical capacitance tomography system to produce confidence values for the metal distribution that is being monitored. The confidence values produced by the system were found to be 84% reliable.