Automatic UAV Recognition Through Radio Spectrum and HD Video
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Solution Overview
Problem
Existing methods for recognizing unmanned aerial vehicles using signal frequency bands often result in recognition errors, posing security risks due to inaccurate identification.
Innovation Solution
A method and apparatus that utilize radio signal preprocessing, deep learning algorithms for spectrum analysis, and high-definition camera imaging to recognize unmanned aerial vehicles by combining radio signal features with environmental video analysis, enhancing recognition accuracy through multi-dimensional feature extraction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If unmanned aerial vehicles are recognized only with unmanned aerial vehicle signal frequency bands, then the recognition process is simple, but recognition errors occur frequently
Solution Approach 1:
The patent merges radio signal detection with visual image recognition into a unified detection system. The radio detection device and high-definition camera apparatus are integrated to capture both radio signal data and environmental video simultaneously, allowing the system to cross-validate UAV presence through multiple sensing modalities, thereby significantly improving recognition accuracy while managing system complexity through coordinated operation
Solution Approach 2:
The patent transitions from single-dimension radio frequency detection to multi-dimensional detection by adding the visual dimension. The system processes both radio signal frequency band information and video image data from the high-definition camera, creating a two-dimensional detection space that enables more accurate UAV identification by comparing results across different sensing dimensions
2Measurement precision
If radio signal spectrum analysis is integrated with high-definition camera imaging, then recognition accuracy is improved, but device complexity increases
Solution Approach 1:
The detection system is designed with multi-functionality, where the integrated apparatus performs both radio signal detection and visual imaging functions. This universal system can operate in different modes (radio-only, video-only, or combined) depending on environmental conditions, allowing the same hardware platform to serve multiple detection purposes and reducing the need for separate specialized systems
Solution Approach 2:
The patent introduces a processing unit that acts as an intermediary between the radio detection device and high-definition camera apparatus. This mediator coordinates data flow between the two sensing systems, fuses radio signal features with video image features, and manages the complexity of integrated operation, thereby enabling accurate multi-modal recognition without proportionally increasing system complexity
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Improves the accuracy of unmanned aerial vehicle recognition by integrating radio signal spectrum analysis with high-definition camera imaging, providing comprehensive detection from both signal and environmental perspectives.
Implementation Method 1
in response to determining that a radio detection device detects a radio signal
Implementation Method 2
controlling a high-definition camera apparatus associated with the radio detection device to photograph an environmental video of a surrounding environment
Data Source
AI summary
A method and an apparatus for automatically recognizing an unmanned aerial vehicle, an electronic device, and a computer medium are provided. A specific implementation of the method includes: in response to determining that a radio detection device detects a radio signal, preprocessing the radio signal to generate preprocessed radio spectrum data; extracting radio signal features in the preprocessed radio spectrum data; inputting the radio signal features into a pre-trained unmanned aerial vehicle signal recognition model to obtain an unmanned aerial vehicle signal recognition result; in response to determining that the unmanned aerial vehicle signal recognition result represents an unmanned aerial vehicle signal, controlling a high-definition camera apparatus associated with the radio detection device to photograph an environmental video of a surrounding environment at a first time in real time; and generating unmanned aerial vehicle detection information corresponding to the first time according to a three-dimensional feature information group.