Drones used for illegal purposes is a growing problem. The goal of the thesis is to create a drone detector, which can detect drones using audio analysis. We have designed a measuring line that is capable of determining the elevation of the source of noise based on the use of a microphone antenna, as well as the treatment of psychoacoustic sound characteristic. The final solution localizes and classifies the currently dominant source of noise in the surroundings based on a comparison of character vectors in the base of known noise sources. During the experiment, we checked on the distance from which we were able to detect a drone, how precisely we can recognize the direction of the source of noise, and how successful we are in identifying the source of a noise. All measurements were performed both in the deaf chamber and in the real environment. We found that the detection of a drone with the first prototype system can be successful, and everything depends on the amount of ambient noise.
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