Systems and methods for supplementing aircraft check using computer vision, analytics, and augmented reality

Abstract

An Aircraft Visual Inspection Assist System (AVIAS) is disclosed. The system includes a first display, at least one sensor configured to sense an aspect of an aircraft component, wherein sensing an aspect of the aircraft component generates AVAIS output data, and at least one processor communicatively coupled to the first display and the at least one sensor. The at least one processor configured to obtain AVIAS output data, the AVIAS output data including a current description of the aircraft component, obtain a trained artificial intelligence (AI) and/or machine learning (ML) model, based at least on the AVIAS output data and the trained AI and/or ML model, infer a damage state of the aircraft component, and display information regarding the damage state of the aircraft component on the first display.

Dependencies are inferred from the claim text.