Reconnaissance UAV Sensor Steering for No-Fly Zone Intrusion Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for detecting small-sized unmanned aerial vehicles (UAVs) are ineffective due to their small size, leading to economic disadvantages with increased camera requirements for image detection and low detection probabilities, especially when targets are distant and noise levels are low.
Innovation Solution
A reconnaissance UAV equipped with image and noise sensors that dynamically change detection directions and are controlled to fly in coordinated patterns within a UAV no-fly zone, using a master-slave communication system to optimize sensor usage and reduce the number of required UAVs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a zoom lens is used for each camera to increase the size of UAV portion in captured image, then detection capability is improved, but the number of required cameras increases significantly
Solution Approach 1:
The patent combines multiple detection modalities (image-based detection and noise-based detection) into a unified detection system. Instead of using multiple cameras with zoom lenses, the system merges visual information from cameras with acoustic information from noise sensors to achieve effective UAV detection without requiring a large number of cameras.
Solution Approach 2:
The detection system performs multiple functions using a single integrated approach. The system simultaneously processes image data from cameras and noise data from microphones, allowing a single detection system to handle both visual and acoustic detection tasks, thereby reducing the need for multiple specialized devices.
2Reliability
If multiple reconnaissance UAVs are deployed to effectively monitor the no-fly zone, then detection reliability is improved, but system complexity and cost increase
Solution Approach 1:
The patent divides the monitoring task into two distinct functional segments: reconnaissance UAVs that collect data (images and noise) and a ground station that performs centralized analysis. This segmentation allows the system to achieve high detection reliability through comprehensive data collection and analysis without requiring multiple complex autonomous detection systems.
Solution Approach 2:
The ground station acts as an intermediary that receives data from multiple reconnaissance UAVs and performs centralized processing. This intermediary approach allows the system to maintain simplicity in individual UAV design while achieving high overall reliability through coordinated multi-UAV operation and centralized intelligence.
Data Source
AI summary
A reconnaissance UAV and a surveillance flight method of the reconnaissance UAV which can reduce a number of required reconnaissance UAVs are provided. The surveillance flight method for detecting an unauthorized UAV includes: defining multiple flight passages in a UAV no-fly zone for a plurality of reconnaissance UAVs; controlling each of the plurality of reconnaissance UAVs to fly across adjacent flight passages at an interval by crossing a border of the adjacent flight passages; and controlling at least one of an image sensor and a noise sensor mounted on the reconnaissance UAV to dynamically change a direction detection thereof.