Multisensor Security System Aircraft Intrusion Detection
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Solution Overview
Problem
Existing security systems fail to account for air-based security threats, particularly from piloted aircraft and drones, and do not provide adequate monitoring or alerts for such threats.
Innovation Solution
A multisensor security system that integrates ground-level sensors with aircraft sensors, using cameras, radar, and RF detection to monitor and report on aircraft intrusions, with an automated system providing real-time alerts and advanced warning based on trajectory analysis, and includes a whitelist to minimize false positives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing security systems use only ground-level sensors (cameras, motion detectors), then the system complexity remains low and ease of operation is maintained, but the system fails to detect airborne security threats such as drones and piloted aircraft
Solution Approach 1:
The patent combines ground-level security sensors (cameras, motion detectors) with airborne detection systems (Radar, RF detectors) into a unified security monitoring system. This merging allows the system to simultaneously detect both ground and airborne threats, resolving the contradiction by enhancing versatility while managing complexity through integration of complementary detection technologies
Solution Approach 2:
The security system is designed with multi-functionality to handle diverse threat types. The same system architecture processes signals from multiple sensor types (optical, radar, RF) and can detect various targets (intruders, drones, aircraft), making the system universally applicable to different security scenarios without requiring separate specialized systems for each threat type
2Reliability
If the system monitors all aircraft within a large perimeter to provide comprehensive coverage, then the detection capability improves, but the number of false positive reports increases due to benign aircraft traffic
Solution Approach 1:
The system performs preliminary analysis of aircraft trajectories and characteristics before generating security alerts. By evaluating the flight path, altitude, and spatial relationship with the monitored area in advance, the system can distinguish between benign aircraft (such as commercial flights) and potential threats, thereby reducing false positives while maintaining comprehensive monitoring coverage
Solution Approach 2:
The system incorporates feedback mechanisms where detected aircraft information is continuously analyzed and compared against established criteria. The controller receives data from multiple sensors, processes trajectory information, and adjusts alert generation based on the analyzed characteristics, creating a feedback loop that improves identification accuracy and reduces spurious alerts over time
3Speed
If the system provides real-time monitoring and immediate alerts, then the response time to security threats is reduced, but the processing load on the integrated controller increases
Solution Approach 1:
The security monitoring function is segmented into independent sensor modules (ground sensors, radar, RF detectors) that operate autonomously and only communicate with the controller when events are detected. This segmentation allows real-time local processing at each sensor level while reducing the overall processing burden on the integrated controller, as it only needs to coordinate responses rather than continuously analyze all data streams
Data Source
AI summary
In an electronic monitoring system, an array of ground-level sensors and aircraft sensors are integrated to provide comprehensive security and privacy sensing of different types of threats. Information from the ground-level sensors may be used to augment the detection and identification of aircraft such as piloted airplanes or unmanned drones, and a white list system may be used to reduce false positive alerts for routine delivery aircraft and the like.