Multi-Source Object Detection System with Environmental Pre-Loading
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Solution Overview
Problem
Existing systems for monitoring the movement of objects in specific environments lack the ability to efficiently aggregate and integrate information from multiple sources, consider preexisting environmental aspects, and initiate appropriate actions, leading to inefficiencies and inaccuracies in detection and response.
Innovation Solution
A system and method that processes preestablished and dynamically received information from multiple sources to confirm the presence and movement of objects, evaluate potential impacts, and initiate actions, incorporating detectors for fixed and movable objects, environmental parameters, and communication with other systems to enhance accuracy and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If information from multiple detection systems is aggregated and integrated, then measurement precision and reliability improve, but device complexity increases
Solution Approach 1:
The patent combines multiple detection systems (radar, acoustic, optical, electromagnetic) into a single integrated detection network. The processor aggregates data from these diverse sources, cross-correlates information, and produces unified detection results. This merging approach improves measurement precision by validating detections across multiple modalities while managing complexity through centralized processing architecture.
Solution Approach 2:
The detection system is designed with multi-functional capabilities to handle various types of objects (drones, aircraft, vehicles, personnel) using the same integrated platform. The processor can switch between different detection modes and algorithms depending on the target type, making the system universally applicable while maintaining streamlined operations.
2Reliability
If the system considers preexisting environmental aspects and expected objects, then detection reliability improves, but information processing complexity increases
Solution Approach 1:
The system performs preliminary actions by pre-loading environmental data (terrain maps, building locations, weather patterns) and expected object profiles (authorized vehicles, registered drones) into the processor before actual detection begins. This allows the system to quickly compare real-time detections against known benchmarks, improving reliability by reducing false positives while keeping processing complexity manageable through pre-computed reference data.
Solution Approach 2:
The system implements feedback mechanisms where detection results are continuously compared against environmental context and expected object databases. When detections align with environmental expectations, reliability increases. The feedback loop also allows the system to learn from false alarms and adjust detection parameters, improving reliability over time while managing complexity through adaptive algorithms.
3Adaptability or versatility
If multiple detection systems operate independently and relay information separately, then system modularity is maintained, but loss of information and latency increase
Solution Approach 1:
The patent merges the information streams from multiple independent detection systems into a unified data flow processed by a central processor. This combining approach prevents information loss by cross-validating detections across systems and reducing latency through coordinated processing. The modular detection elements remain adaptable and can be independently configured, while their integrated operation eliminates the information silos that would otherwise cause data loss and delays.
Data Source
AI summary
Described is a system and method through which (a) information related to detected moving objects can be received, processed and confirmed, (b) such information can be evaluated—with the information from differing receiving, processing and confirming sources being aggregated and integrated, thereby increasing the overall efficiency and accuracy of the system and method, and with the elements of the system and the practice of the method resulting in the sharing of such information with such elements controlling various aspects of their own operation—to assess the possible impacts of the presence and/or operation of such detected moving objects within a specific environment, and as a result of such evaluation (c) actions can be initiated based upon (x) the identification of the detected moving object and (y) the possible impacts thereof within such specific environment.