| CPC G06F 18/2431 (2023.01) [G06T 3/40 (2013.01); G06T 3/60 (2013.01); G06T 7/11 (2017.01); G06T 7/30 (2017.01); G06T 2207/20132 (2013.01); G06T 2207/30108 (2013.01); G06T 2207/30164 (2013.01)] | 20 Claims |

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1. A method for identifying a plurality of production components of a manufacturing environment, the method comprising:
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;
for each of the plurality of input clusters:
selectively filtering the given set of point cloud data to identify production component cloud data (PCCD) associated with a given set of the plurality of production components;
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, wherein each of the plurality of production clusters includes a given set of the rotated PCCD within the three-dimensional bounding box; and
adjusting an orientation of the rotated PCCD and thereby reverting the rotated PCCD to an original point cloud data location associated with the given set of the plurality of production components based on one or more parameters associated with the given set of the plurality of production components.
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