Comparative Study on Real Time Image Data Transmission Methods for Unmanned Aerial Vehicle

With the development of unmanned aerial vehicles (UAV) and embedded development technology, more and more UAV remote sensing applications require real-time transmission of acquired image data or processed result data to ground workstations. In this case, the method, speed, and quality of data transmission will have a significant impact on the real-time performance of such UAV applications. In response to this issue, this study is based on an UAV ground target real-time recognition system, and discusses data transmission methods based on wireless local area network, Internet of Things technology and TCP/IP communication protocol. It explores data transmission methods based on 4G communication network internal network penetration and Cloud server combination, and conducts comparative experimental analysis on these methods. Finally, through experiments, it was found that the combination of 4G communication network and Cloud server is a better method for transmission performance. This method avoids the spatial distance limitations of traditional methods and achieves reliable and superior real-time image data transmission.