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AI-based general visual inspection of aircraft
This project aims to solve the problem of visual inspection of the aircrafts. The images and/or video will be used in conjunction with an AI/ algorithm to efficiently identify aircraft defects. The drone-based computer vision approach to defect detection will be compared to traditional, manual techniques to assess the potential for increased safety and efficiency and commercialization of the project.
Faculty Supervisor:
Michal Aibin
Student:
Partner:
InDro Robotics
Discipline:
Computer science
Sector:
Manufacturing; Professional, scientific and technical services
University:
British Columbia Institute of Technology
Program:
Accelerate
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