Multi-Sensor UAV Identification and Tracking With Portable Countermeasures
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
The anonymous nature of unmanned aerial vehicles (UAVs) poses challenges in ensuring airspace safety and accountability in critical locations, as they can compromise security and pose risks to areas like airports, prisons, and residential homes, necessitating a system to detect, identify, track, and manage UAVs.
Innovation Solution
A system utilizing video, audio, Wi-Fi, and radio frequency sensors to collect data, identify UAVs, and manage a recognizable catalog, with portable countermeasure devices to disrupt UAVs, and a central system to process and respond to detected UAVs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If UAVs are allowed to operate freely in airspace, then productivity and ease of operation are improved, but security and reliability deteriorate due to anonymous operation and lack of accountability
Solution Approach 1:
The system implements continuous monitoring and tracking of UAVs through multiple sensors (video, audio, RF, Wi-Fi) that provide real-time feedback on UAV location, identity, and operational status. This feedback loop enables authorities to maintain security while allowing UAV operations by constantly verifying that UAVs are operating as declared and within authorized parameters.
Solution Approach 2:
The patent introduces an intermediary identification and tracking system between UAV operators and airspace authorities. This intermediary layer includes transponders, identification databases, and communication relays that facilitate regulated operation without requiring direct control, thus maintaining productivity while ensuring reliability through standardized identification protocols.
2Measurement precision
If multiple sensors and tracking systems are deployed to identify and monitor UAVs, then measurement precision and reliability improve, but device complexity increases
Solution Approach 1:
The system employs multi-functional sensor units that can perform multiple detection functions (video surveillance, audio monitoring, RF signal detection, Wi-Fi tracking) using integrated hardware platforms. This universality reduces overall system complexity by consolidating multiple specialized devices into single multi-capable units while maintaining high measurement precision through coordinated multi-sensor operation.
Solution Approach 2:
The complex monitoring system is segmented into modular functional components (video sensors, audio sensors, RF sensors, Wi-Fi sensors, processing units) that can be independently deployed, configured, and maintained. This segmentation allows the system to achieve high measurement precision through specialized sensors while managing complexity through modular architecture and distributed deployment.
3Reliability
If countermeasure devices are deployed to disrupt unauthorized UAVs, then airspace security improves, but loss of information increases due to potential disruption of legitimate UAV operations
Solution Approach 1:
The system applies preliminary identification and verification actions before deploying countermeasures. By first detecting, identifying, and classifying UAVs using multiple sensors and database comparisons, the system ensures that countermeasure devices only disrupt confirmed unauthorized or malicious UAVs, thereby protecting airspace reliability while preserving legitimate UAV operations and their data.
Solution Approach 2:
The countermeasure system operates with continuous feedback loops that monitor UAV identification status, authorization verification, and disruption effectiveness. This feedback mechanism allows real-time adjustment of countermeasure application, ensuring that disruption is applied only when necessary and authorized, thus maintaining airspace security while minimizing loss of information from legitimate operations.
Data Source
AI summary
Systems, methods, and apparatus for identifying, tracking, and disrupting UAVs are described herein. A tracking system can include one or more first computing devices that receive sensor data associated with an object in a particular airspace from one or more sensors. The first computing device can analyze the sensor data relating to the object to determine information about the object. A portable countermeasure device can include one or more second computing devices. The second computing device can receive the information relating to the object. The second computing device can display a visual indicator indicating the information on a display.