System and method of detecting fluid levels in tanks

A system comprising:

• at least one processor;
• and
• memory, the memory containing instructions to control any number of the at least one processor to:
• receive, from a first infrared image capture device with a first field of view, a first image including a first fluid storage tank storing a first fluid, the image including a plurality of image intensities, a first image intensity associated with a first temperature of a first portion of the first fluid storage tank with a first internal surface that is in contact with the first fluid stored therein and a second image intensity associated with a second temperature of a second portion of the first fluid storage tank with a second internal surface that is not in contact with the first fluid;
• generate feature maps from the first image by applying at least a first convolutional neural network;
• slide a first window across the feature maps to obtain a plurality of anchor shapes using a region proposal network;
• determine if each anchor shape of the plurality of anchor shapes contains an object to generate a plurality of regions of interest;
• extract feature maps from each region of interest;
• classify objects in each region of interest;
• identify first stored fluid using the objects based on classifications and segmentation masks,
• wherein each of the plurality of regions of interest is a non-rectangular, polygonal shape;
• determine first volume of stored fluid based on the first stored fluid;
• and
• provide first volume to a digital device for display.