Mobile Signal Surveillance for Tracking Obscured Targets
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Solution Overview
Problem
Existing surveillance systems struggle to identify individuals or vehicles obscured, masked, or attempting to hide their identity, particularly in public and private spaces, and there is a need for systems that can correlate electronic devices with images and locations to track objects or persons over a wide area.
Innovation Solution
A surveillance system utilizing mobile and stationary collection devices on vehicles to gather electronic signals, integrate with existing wireless networks, and analyze signal patterns to identify targets, track packages, and detect anomalies, with intelligence systems for correlation and pattern analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional surveillance cameras are used to capture images and video, then visual identification can be achieved, but the system cannot identify people who are obscured, masked, or attempting to hide their identity
Solution Approach 1:
The patent introduces electronic device signals as an intermediary to identify targets. Instead of directly visualizing the target (which fails when obscured), the system detects electronic signals from devices carried by targets, using these signals as a mediator to achieve identification when visual methods fail.
Solution Approach 2:
The patent replaces the mechanical/optical surveillance system (cameras capturing visual images) with an electronic signal detection system. This substitution allows identification through electronic signatures rather than visual observation, overcoming the limitation of obscured targets.
2Area of stationary object
If electronic signals are collected from multiple devices to track targets over wide areas, then tracking capability is improved, but the system complexity increases due to signal correlation and pattern analysis requirements
Solution Approach 1:
The patent creates electronic signatures as simplified copies or representations of target identities. Instead of processing raw electronic signals directly, the system generates signature patterns that represent target characteristics, making correlation and tracking more manageable while maintaining wide-area coverage capability.
Solution Approach 2:
The patent transforms electronic signal data into different parameter representations (signatures, patterns, correlation metrics). By changing the parameters from raw signal characteristics to standardized signature formats, the system manages complexity while enabling wide-area multi-device tracking.
3Object-affected harmful factors
If anonymous electronic signal data is collected instead of visual identification, then privacy intrusion is reduced, but the ability to provide positive identification of targets is weakened
Solution Approach 1:
The patent uses electronic signatures as anonymous copies that represent target identity without revealing personal information. These signatures capture sufficient information for tracking and identification purposes while maintaining anonymity, thus reducing privacy intrusion while preserving necessary identification capability.
Data Source
AI summary
A system and method for monitoring, via collection systems mounted on vehicles, for one or more electronic signals associated with one or more selected locations. In an embodiment, the system may include a plurality of collection systems. Each collection system of the plurality of collection systems may be positioned on a respective vehicle of a plurality of vehicles. Each of the collection systems may include at least one sensor configured to collect electronic signals from proximal electronic devices and a communication circuitry to transmit collected electronic signals. The system may include an intelligence device receiving the transmitted collected electronic signals. The intelligence device may include a database and correlation circuitry to determine a correlation between one or more different electronic signals of the collected electronic signals.