Abstract: A method includes segmenting point cloud data of an image into a plurality of input clusters, wherein each of the plurality of input clusters includes a given set of point cloud data from among the point cloud data. The method includes, for each of the plurality of input clusters: selectively filtering the given set of point cloud data to identify production component cloud data (PCCD), aligning the PCCD with a predefined axis to generate a rotated PCCD, classifying the given set of the plurality of production components into one or more asset types based on the rotated PCCD, generating a three-dimensional bounding box based on the rotated PCCD, segmenting the rotated PCCD into a plurality of production clusters, and determining one or more parameters associated with the given set of the plurality of production components based on the plurality of production clusters and the one or more asset types.