US 2023/0069019 A1 · REALITY MODEL OBJECT RECOGNITION USING CROSS-SECTIONS

Abstract

A reality-based model object recognition system using cross-sections includes using photogrammetry to obtain various views of a 3-dimensional (3D) object (e.g. 3D model, 3D reality model, mesh, etc.). The process then generates 2-dimensional (2D) slices, i.e. cross-sections, of the 3D object at various elevations and angles. The relation between the slices is critical for identification. The 2D slices are used as building blocks for automatic recognition and identification and location (e.g. x,y,z+angle) of a real-world equipment mounted on the 3D object and identifying any anomaly in the equipment so that remedial action may be ordered, if needed.

Claims14

Dependent claims

An object recognition method using reality-based modelling comprising:

locating a 3-Dimensional (3D) model generated by photogrammetry, lidar or other scanning techniques that generate 3D models including point clouds, meshes and reality models);
defining one or more reference points or planes in said 3D model;
generating outputs comprising a plurality of 2-Dimensional (2D) slices of the 3D model at various elevations;
adding said plurality of 2D slices at various angles to a library;
identifying one or more dense centers with critical components on the 3D model;
applying pattern matching to identify the critical components from said library;
identifying one or more pieces of equipment in said 3D model by correlating said identified one or more critical components with real world standard objects;
and
generating a report of said 3D model comprising said one or more pieces of equipment.

6 more elements

Dependencies are inferred from the claim text.

Reality model object recognition using cross-sections

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Reality model object recognition using cross-sections

Life of this patent

Abstract

Claims14