IoT based Automatic Fault Identification and Alerting System for Unmanned Aerial Vehicles

This research paper proposes an automatic fault identification and alerting system to improve the reliability of UAVs. In general, due to its less reliable nature, they are not being deployed in populated areas. The low reliability in UAVs is due to the high failure rates in the operations. Most of these failures can be avoided if the operator is alerted in time about the faults in the UAV. The proposed system will identify faults in UAVs and alert the operator, wherein he can take the required action to avoid the damage to the UAV. The system fetches the real-time flight parameters of the UAV from the flight controller and gets a sense of surroundings using external obstacle detecting sensors. These parameters are analyzed by the processing board on the drone for any anomalies. The parameters displayed in an android application where the live status of the drone can be monitored and all the parameters are stored in a database for future analysis. An alert is sent to the operator on the mobile application in case of any anomalies or early signs of faults detected by the algorithm. The system also locates all the drones flying in that region which can be utilized for air traffic monitoring and to locate rogue drones which are a huge security threat in airports and unauthorized areas.