In the era of the 5G network, the rapid development of information technology has made UAV technology widely used in many fields. UAVs have the characteristics of small size, lightweight, easy operation, flexibility, and so on. Drones can well solve the current problems of the insufficient police force, slow evidence collection, and harsh on-site environment. However, the existing police drones are often affected by objective conditions, such as the ground and weather when shooting, the signal is easily interrupted, and the accuracy and stability are not enough. In order to solve these problems, this article integrates the Fourier fast transform algorithm into the police unmanned aerial vehicle technology and improves the police unmanned aerial vehicle technology. By testing the police drones from four aspects of positioning and navigation, communication strength, shooting quality, and satisfaction, it can be observed how the police drones with the Fourier fast transform algorithm are optimized. Statistical experimental results show that the positioning and navigation accuracy of police drones has been improved. The communication strength command execution speed increased by 2.6%, the shooting quality increased by 6.7%, and the satisfaction rate increased by 7.3%. The Fourier fast transform algorithm makes police drones better, promotes the development of drone technology, and greatly improves the efficiency of police officers.
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