Abstract: A method comprising receiving, from a infrared image capture device, an image including a fluid storage tank storing a fluid, the image including an image intensity associated with a temperature of the fluid storage tank with an internal surface that is in contact with the fluid and an image intensity associated with a temperature of the first fluid storage tank with an internal surface that is not in contact with the fluid, generating feature maps, sliding a window to obtain a plurality of anchor shapes using a region proposal network, determining if each anchor shape contains an object to generate a plurality of regions of interest, extracting feature maps from each region of interest, classifying objects in each region of interest, identifying stored fluid using the objects, determining volume of stored fluid based on the stored fluid, and providing the volume to a digital device for display.

Abstract: An example system includes a first and second digital device. The first digital device may be configured to provide an interface displaying an image including a depiction of an object, place a bounding shape around the object, and crop contents of the bounding shape to create a portion. The second digital device may be configured to receive the portion, retrieve high-level features and low-level features, apply first Atrous Spatial Pyramid Pooling (ASPP) to the high-level features to aggregate the high-level features as aggregate features, concatenate results to create the aggregate features, up-sample, apply a convolution to the low-level features, concatenate the aggregate features with the low-level features after convolution to form combined features, segment the combined features to generate a polygonal shape outline along outer boundaries of the first object, and provide the first polygonal shape outline to the first digital device for display.

Abstract: Generating and running computer vision pipelines for processing images and/or video. A user may select blocks for the computer vision pipeline, including image transformation blocks that transform images and/or video, and prediction blocks that detect objects or classes of objects in images and/or video. The user may specify an input source for the images and/or video and an output destination for the computer vision pipeline. Upon activation, the computer vision pipeline receives input images and/or video. The input images and/or video are transformed using the image transformation block to produce transformed images and/or video. Objects or classes of objects in the transformed images and/or video are detected using the prediction block to produce detected objects or classes of objects. The detected objects or classes of objects are transmitted to the output destination.

Abstract: A method comprising receiving, from a infrared image capture device, an image including a fluid storage tank storing a fluid, the image including an image intensity associated with a temperature of the fluid storage tank with an internal surface that is in contact with the fluid and an image intensity associated with a temperature of the first fluid storage tank with an internal surface that is not in contact with the fluid, generating feature maps, sliding a window to obtain a plurality of anchor shapes using a region proposal network, determining if each anchor shape contains an object to generate a plurality of regions of interest, extracting feature maps from each region of interest, classifying objects in each region of interest, identifying stored fluid using the objects, determining volume of stored fluid based on the stored fluid, and providing the volume to a digital device for display.