Virtual Booth

This project aims to create a Real-Time Drone Fault Monitoring Application 
specifically for researchers and drone operators. Considering the growing number of 
drone applications in a variety of industries, it is crucial to ensure a secure and effective 
drone operation. A major challenge is recognizing faults in real time with the drone's 
propellers which can have an immediate impact on the safety of flight. The proposed 
system records propellers sound using a wireless microphone attached to the 
drone such as the Ulanzi J12 Wireless Lavalier Microphone. These audio records are 
analysed for anomalies that could indicate propeller defects. The project uses Agile 
methodology that includes accurate data collecting, fault analysis algorithms, and real
time notification systems to inform researchers and drone operators to detect issues in 
propellers. The research findings suggest that using sound-based fault detection can 
provide an efficient and accurate alternative for monitoring propeller health. 
Furthermore, the app provides access to past recordings which allows performance 
tracking over time and could contribute to preventative decisions. The system's overall 
performance is based on its ability to reduce delays and improve safety by delivering 
early alerts of potential issues. Future development should involve improving fault 
detection algorithms and increasing the system's compatibility with various drone 
models. This project offers an important tool to the field of drone management that 
could increase operational reliability in both research and commercial applications.