Object Identify Using Electrical Impedance Tomography Technique for Industrial Application

TLDR: The objective of the EIDORs toolkit was to produce an image from electrical impedance data and finally in the last phase 2-Dimensional image is obtained.

Abstract: Electrical impedance tomography is a recently established technique by which impedance of an object is measured data from the surface of the object, and a numerically simulated reconstruction of the phantom image can be obtained. The EIT experiment presented here used a phantom with 16 electrodes attached to the surface. When different current pulse applied across the phantom and potential are measured over all the electrode pairs. This imaging technique based on boundary or surface voltage is measured when the different current pattern is injected into it. For current pulse, we are creating a voltage controlled current source. It is a combination of wave generator and voltage to current converter and current position and measuring voltage is calculating using the created Control Unit or PSOC (Programmable system on chip) based EIT system. After that image reconstructing of the cross-sectional image of resistivity requires sufficient data collection by (Finite element method) FEM method and the EIDORs toolkit package of Matlab. FEM is a technique which helps in the creation of the image with EIDORs toolkit. It includes graphical mesh method linear and non-linear method using vector technique. The objective of the EIDORs toolkit was to produce an image from electrical impedance data and finally in the last phase 2-Dimensional image is obtained.