{"id":18,"date":"2023-05-08T23:02:57","date_gmt":"2023-05-08T23:02:57","guid":{"rendered":"https:\/\/mscvprojects.ri.cmu.edu\/f23team5\/?page_id=18"},"modified":"2023-12-19T00:24:08","modified_gmt":"2023-12-19T00:24:08","slug":"home","status":"publish","type":"page","link":"https:\/\/mscvprojects.ri.cmu.edu\/f23team5\/","title":{"rendered":"Introduction"},"content":{"rendered":"\n

Title<\/strong><\/h1>\n\n\n\n

Object inspection through registration of its CAD model to an image stream in real-time.<\/p>\n\n\n\n

Motivation<\/strong><\/h1>\n\n\n\n
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Figure: Current and expected market sizes of aircraft MRO market<\/figcaption><\/figure>\n\n\n\n

The Aircraft Maintenance, Repair, and Overhaul(MRO) market is valued<\/a> at $87.01 billion in 2021 and is projected to grow to $118.96 billion by 2028. Currently, aircraft are manually inspected by human inspectors. This is a time-consuming process since human inspectors are limited in their ability to inspect all areas of a large aircraft. The inspection process also presents safety hazards for the inspectors involved.<\/p>\n\n\n\n

The goal of this project is to build an automated system for high-fidelity aircraft inspection by transferring texture seen in a video feed of an aircraft onto a CAD model of the aircraft in real-time. The ability to automate the inspection process allows for better coverage of the aircraft while being significantly faster and safer than manual inspection.<\/p>\n\n\n\n

Problem Statement<\/strong><\/h1>\n\n\n\n

Build an automated system for high-fidelity inspection of aircraft by registering CAD models of aircraft to an image stream in real-time. <\/p>\n\n\n\n

Proposed Solution<\/strong><\/h1>\n\n\n\n

The proposed solution consists of two parts:<\/p>\n\n\n\n