The current technical methods still have limitations, lack of flexibility and accuracy needs to be improved. Therefore, a deep research based on UAV recognition algorithm is the key to the future development of anti-UAV technology, such as the establishment of visual sensor network for UAV image capture and information storage; by training a neural Network of learning network, come to an efficient identification model to achieve the classification of UAVs and non-drone.
Current domestic Anti-UAV defence system technology is still in the exploratory stage, radio hijacking technology because of the UAV manufacturers of radio signal encryption is difficult to achieve, and hackers technology because of the high threshold is not easy to commercial, so currently used Technology mainly to interrupt the main Anti-UAV in the future direction of development, but also need more technology to do support.
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