Identification of defect types in liquid pipelines for classification and computing severity thereof

A system, comprising:

• a memory storing instructions;
• one or more communication interfaces;
• and
• one or more hardware processors coupled to the memory via the one or more communication interfaces, wherein the one or more hardware processors are configured by the instructions to:
• receive an input data comprising at least one of a video data, and one or more images from an image capture device, wherein the input data is specific to a liquid pipeline;
• extract one or more optimum frames from the input data specific to the liquid pipeline;
• dehaze the one or more extracted optimum frames to obtain one or more dehazed images;
• identify, from the one or more dehazed images, one or more identified liquid banks and generating one or more contours based on the one or more identified liquid banks;
• detect a change in a liquid level from the one or more generated contours;
• estimate a pose of the image capturing device based on (i) an angle of intersection, (ii) a segment intersection and (iii) a generated circle obtained from the one or more generated contours;
• identify a first set of objects in the liquid pipeline using the estimated pose;
• identify one or more defects in the liquid pipeline based on the first set of identified objects;
• and
• classify the one or more defects into one or more categories.

A computer program product comprising a non-transitory computer readable medium having a computer readable program embodied therein, wherein the computer readable program, when executed on a computing device causes the computing device to:

• receive an input data comprising at least one of a video data, and one or more images from an image capture device, wherein the input data is specific to a liquid pipeline;
• extract one or more optimum frames from the input data specific to the liquid pipeline;
• dehaze the one or more extracted optimum frames to obtain one or more dehazed images;
• identify from the one or more dehazed images one or more identified liquid banks and generate one or more contours based on the one or more identified liquid banks;
• detect a change in a liquid level from the one or more generated contours;
• estimate a pose of the image capturing device based on (i) an angle of intersection, (ii) a segment intersection and (iii) a generated circle obtained from the one or more generated contours;
• identify a first set of objects in the liquid pipeline using the estimated pose;
• identify one or more defects in the liquid pipeline based on the first set of identified objects;
• and
• classify the one or more defects into one or more categories.