Smart body for contactless detection of defects using artificial intelligence

Abstract

An apparatus includes a buoyant housing, a sensor arrangement housed within the buoyant housing that includes an electromagnetic (EM) transmitter surrounded by several EM receivers, a hardware processor, and instructions, including determining an induced signal value for each of the plurality of EM receivers; receiving the induced signal value for each of the plurality of EM receivers as an input for a neural network tangibly embodied on the non-transitory computer-readable storage medium; creating a visual representation of a body based on a neural network comparison of the induced signal values for each of the plurality of EM receivers; and determining whether a defect exists on the based on a comparison of the induced signal values for each of the plurality of EM receivers performed by the neural network.