Modular Surveillance Tasking System for Dynamic Resource Allocation
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Solution Overview
Problem
Current surveillance resource tasking systems require specialized expertise and significant time for task generation and approval, limiting user ability to readily task and re-task surveillance resources.
Innovation Solution
A system with a core module identifying surveillance resources and discrete tasking modules that allow users to dynamically task these resources without specialized expertise, enabling modularization and standardization for quick tasking and re-tasking in response to events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If current collection systems use centralized tasking authority approval process, then task approval reliability is improved, but tasking time is significantly increased
Solution Approach 1:
The patent segments the centralized tasking authority into multiple distributed tasking modules, each capable of independently approving tasks within their designated domains. This segmentation eliminates the sequential bottleneck of centralized approval while maintaining appropriate oversight through modular architecture, thereby reducing tasking time while preserving approval reliability.
Solution Approach 2:
The system implements dynamic tasking where tasking modules can be activated, deactivated, or reconfigured based on operational needs. This dynamic architecture allows the system to adapt approval workflows in real-time, enabling faster response to urgent surveillance requirements while maintaining reliable approval processes through configurable module activation.
2Manufacturing precision
If current systems require specialized expertise for task generation, then task quality is improved, but ease of operation is significantly reduced
Solution Approach 1:
The patent introduces standardized tasking modules as intermediaries between users and surveillance resources. These modules encapsulate complex task generation logic and specialized knowledge, presenting simplified interfaces to users while maintaining high task quality through pre-configured, validated task templates and automated parameter selection.
Solution Approach 2:
The system transforms complex task parameters into standardized, pre-configured modules with adjustable parameters. Users can modify high-level parameters (such as surveillance duration, target area, or resource type) without needing to understand the underlying complex technical parameters, thereby maintaining task quality while significantly improving ease of operation.
3Stability of the object's composition
If current systems use monolithic tasking architecture, then system stability is improved, but adaptability to new tasking requirements is reduced
Solution Approach 1:
The patent divides the monolithic tasking system into independent, modular tasking modules that can be individually developed, deployed, and configured. This segmentation maintains system stability through proven module configurations while enabling adaptability by allowing new modules to be added or existing ones modified without affecting the entire system architecture.
Solution Approach 2:
The tasking modules are designed with universal interfaces and standardized communication protocols, enabling them to perform multiple functions across different surveillance scenarios. This universality allows the same module framework to adapt to various tasking requirements (different sensors, targets, timeframes) while maintaining system stability through consistent interaction patterns.
Data Source
AI summary
In one embodiment, a system for dynamically tasking one or more surveillance resources includes a core module identifying one or more surveillance resources each including one or more sensors. The system also includes one or more discrete tasking modules dynamically tasking one or more of the surveillance resources identified in the core module without modification to the core module.