Drone Defense System Using Sensor Fusion for Payload Identification
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Solution Overview
Problem
Conventional surveillance systems are inadequate for detecting and defending against drones due to their inability to determine the type or payload of a drone, leading to potential risks from uncontrollable drone crashes or harm to third parties during defense measures.
Innovation Solution
A system combining sensors, cameras, and processors to detect and classify drones, allowing for precise determination of their position, type, and payload, and enabling controlled intervention or disconnection of drone operations to ensure safe defense measures.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional surveillance systems (cameras) are used to detect drones, then the system can detect the presence and position of drones, but it cannot determine the type or payload of the drone
Solution Approach 1:
The system merges multiple detection methods (radar for position, optical zoom cameras for visual identification, and RF sensors for communication analysis) into a unified drone detection and identification system. This combination allows the system to overcome the limitations of individual sensors and accurately determine both the presence and characteristics of drones including their type and payload.
2Reliability
If active defense measures (jamming or spoofing) are taken against detected drones, then the drone can be interrupted or diverted, but this may cause the drone to fly uncontrollably and crash, endangering third parties
Solution Approach 1:
The system performs preliminary identification of the drone's type, payload, and control characteristics before implementing any defense measures. By using optical zoom cameras and RF sensors to gather information about the drone's characteristics in advance, the system can select appropriate defense strategies that minimize the risk of uncontrolled crashes and harm to third parties.
Solution Approach 2:
The system continuously monitors the drone's behavior and response to defense measures, using this feedback to adjust the defense strategy in real-time. This allows the system to detect when a drone is becoming unstable or uncontrollable and switch to safer defense options, preventing harm to third parties while maintaining defense effectiveness.
3Reliability
If hard defense (physical interception or shooting down) is used against drones, then the drone can be neutralized, but this intervention endangers innocent bystanders
Solution Approach 1:
The system uses optical zoom cameras and RF sensors to preliminarily identify the drone's type, payload, and flight characteristics before implementing hard defense measures. This preliminary information gathering allows the system to assess whether hard defense is truly necessary and to select the safest method of neutralization that minimizes risk to bystanders.
Data Source
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AI summary
The invention relates to a method and a system for drone defense. The system comprises at least one sensor configured to detect a drone, a transmitter configured to send a signal to a drone, one or more cameras, one or more processors, and one or more computer-readable storage media on which computer-executable instructions are stored. When executed by the one or more processors, these instructions cause the position of a drone detected by the at least one sensor to be determined, the one or more cameras to be aligned with the determined position of the drone, and images from the one or more cameras to be evaluated in order to: determine the payload of the drone, determine the type of drone, and verify the position of the drone.and based on the evaluation of the images from one or more cameras, at least one of the following occurs: an alarm is signaled to at least one user, the previous control of the drone via the transmitter is taken over, and the previous control of the drone via the transmitter is disconnected.