Automated camera-based inspection of propeller damage on unmanned aerial vehicles (UAVs)
Masterthesis, Advanced Design Project (ADP)
Unmanned aerial vehicles (UAVs) are increasingly being used in aviation to carry out monitoring, inspection or transport tasks. To ensure a safe flight, a pre-flight inspection is usually carried out to check the UAV for any damage. With the increasing importance of autonomous flying beyond the reach of a pilot, there is a need to automate pre-flight checks, for example with the help of camera-based procedures.
The aim of this thesis is to investigate the potential of image processing and computer vision methods for detecting propeller damage in UAVs. To this end, a concept for the use of camera-based methods will be first developed on the basis of a literature review. An initial data set will then be generated containing images of UAVs with propellers with varying degree of damage. Using this data set, various image processing methods will be implemented and their performance in damage detection will be evaluated.
Work Content:
- Literature research on the basics of computer vision and its use in the UAV sector
- Creation of a concept for image generation
- Development of a data set for damage detection
- Implementation of image processing and computer vision methods
- Evaluation of the results
- Documentation and presentation
Organizational:
Available immediately
