Electronic Surveillance via Signal Correlation
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Solution Overview
Problem
Current surveillance systems, such as home security cameras and doorbell cameras, cannot effectively identify individuals who are obscured, masked, or hiding their identity, and there is a need for a method to track unidentified persons or vehicles in residential or commercial areas using electronic signatures and visual identifiers.
Innovation Solution
A surveillance system that utilizes existing Wi-Fi connectivity to collect and correlate electronic signatures and visual identifiers from devices like smartphones, vehicles, and home automation systems, using sensors and antennas to create a database for identification and tracking of targets, employing AI and Big Data techniques for pattern analysis and correlation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional surveillance cameras are used to monitor persons, then visual identification can be achieved, but the system fails when targets are obscured, masked, or hiding their identity
Solution Approach 1:
The patent introduces electronic signature data as an intermediary identifier that does not require direct visual observation of the target. Instead of relying on cameras to visually identify obscured persons, the system uses electronic signatures (from smartphones, vehicles, or other devices) as a mediator to track and identify targets indirectly, thereby solving the problem of identity concealment.
Solution Approach 2:
The patent replaces the mechanical/optical surveillance system (cameras requiring line-of-sight visual identification) with an electronic signal-based system. By substituting the camera-based visual identification mechanism with electronic signature detection and correlation, the system can identify targets even when they are obscured, masked, or hiding their identity.
2Reliability
If multiple collection devices are deployed to improve target identification, then tracking capability is enhanced, but system complexity increases
Solution Approach 1:
The patent makes the collection devices universal by enabling them to detect multiple types of electronic signatures (smartphone signals, vehicle electronics, other wireless devices) through a common platform. This multi-functionality allows a single device type to perform various identification tasks, reducing the need for specialized equipment and simplifying system architecture while maintaining reliable tracking capability.
Solution Approach 2:
The patent combines multiple data sources (electronic signatures from different devices, visual identifiers from cameras, location data) into a unified correlation system. By merging these diverse data streams and processing them through a single intelligence device that uses pattern analysis and Big Data techniques, the system achieves reliable target tracking without proportionally increasing complexity.
3Loss of information
If electronic signatures are collected and correlated across multiple locations, then unidentified persons can be tracked, but data processing requirements increase
Solution Approach 1:
The patent performs preliminary actions by continuously collecting and pre-processing electronic signature data as it is generated, rather than waiting for identification needs. The system proactively builds correlation patterns and maintains ready-to-use intelligence databases, so when a target needs to be identified, the data processing is already partially complete, reducing real-time processing requirements.
Solution Approach 2:
The patent creates copies of electronic signature data across multiple collection points and stores them in centralized intelligence databases. By replicating and distributing data copies throughout the network, the system enables efficient parallel processing and correlation analysis without requiring all raw data to be processed sequentially through a single bottleneck.
Data Source
AI summary
A system and method for monitoring for one or more electronic signals associated with one or more selected locations. In an embodiment, the system may include collection devices positioned at selected locations. The collection devices may include (1) at least one sensor or (2) at least one antenna configured to collect, via a corresponding frequency, electronic signals from proximal electronic devices. The collection devices may include a communication circuitry to transmit collected electronic signals. The system may include an intelligence device positioned separate from the collection devices. The intelligence device may include a database and a correlation circuitry to determine a correlation of one or more different electronic signals of the collected electronic signals and one or more targets based upon a comparison of the collected electronic signals with one or more electronic signatures associated with one or more targets.