DESIGN AND DEVELOPMENT OF A CONTROL INTERFACE FOR A VOICE-OPERATED DRONE

Abstract

ABSTRACT The use of drones, or Unmanned Aerial Vehicles (UAVs), is growing in many areas such as agriculture, surveillance, delivery, and entertainment. However, controlling drones often requires special training, which makes them difficult to use for people without technical skills. This thesis aims to solve this problem by creating a new control system that allows users to operate drones using voice commands. The main idea is to make drone operation easier and more natural by allowing users to simply speak commands to control the drone. This system uses advanced speech recognition technology from Google to understand and convert voice commands into drone actions. The DJI Tello Edu drone was chosen for this research because it is small, programmable, and suitable for indoor use. The design included creating a list of voice commands and matching them to specific drone movements. To test the system, various experiments were conducted to measure its performance and gather user feedback. The results showed that the voice command system had a high accuracy rate of 99.6% in quiet environments. Even in noisy or windy conditions, the system performed well, though with slightly lower accuracy. Users found the system easy to use and appreciated the simplicity of controlling the drone with their voice. They also noted that such a system could make drones more useful for everyday tasks, increasing efficiency in areas like inspections and emergency responses. In conclusion, this research makes drones more accessible by allowing them to be controlled through voice commands. This new method simplifies the use of drones and could lead to their wider adoption in many fields. The voice-operated control system not only makes drone flying easier but also opens up new possibilities for how drones can be used in daily life and work