Electronic Signature Tracking With ALPR for Individual Identification
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Solution Overview
Problem
Existing Automated License Plate Readers (ALPR) systems are expensive and primarily used for vehicle identification, lacking the capability to accurately identify and track individuals associated with vehicles, and are not effective in non-vehicular environments.
Innovation Solution
A surveillance system that combines electronic signal sensors with ALPR systems to capture and correlate electronic signatures and visual identifiers, using sensors to gather data from various devices and vehicles, and an intelligence system to track and associate these signatures with geographic locations, enabling precise identification and tracking of individuals and vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing ALPR systems are used for vehicle identification, then vehicle identification capability is provided, but the system cost is high and individual tracking capability is lacking
Solution Approach 1:
The patent combines ALPR systems with electronic signature sensors into an integrated surveillance system. The ALPR captures license plate information while electronic signature sensors simultaneously capture device signatures from mobile devices in or near vehicles. This merging allows the system to achieve both vehicle identification and individual tracking capabilities without requiring separate systems, thereby improving tracking accuracy while managing system cost effectively.
Solution Approach 2:
The surveillance system is designed to perform multiple functions: it can identify vehicles through ALPR, track individuals through electronic signature detection, and operate in both vehicular and non-vehicular environments. The electronic signature sensors can detect signatures from mobile devices regardless of whether they are in vehicles or on foot, making the system universally applicable for both vehicle and pedestrian surveillance, thus improving tracking accuracy across diverse scenarios.
2Loss of information
If ALPR systems are used for vehicle identification, then vehicle identification is achieved, but the capability to identify and track individuals associated with vehicles is lacking
Solution Approach 1:
The system merges ALPR technology with electronic signature sensing technology into a single integrated platform. The ALPR component captures vehicle identification information while the electronic signature sensors simultaneously capture mobile device signatures of individuals in or near the vehicle. This combination ensures that both vehicle and individual information are collected together, eliminating information loss about associated individuals while managing system complexity through integration rather than separate systems.
Solution Approach 2:
The electronic signature acts as an intermediary that links vehicles to individuals. By capturing the electronic signature of a mobile device in or near the vehicle, the system creates an association between the vehicle identifier (from ALPR) and the individual (through device signature). This intermediary mechanism enables individual tracking without requiring direct observation or additional complex identification systems, thus improving information completeness while controlling system complexity.
3Adaptability or versatility
If traditional ALPR systems are deployed, then vehicle identification on roads is possible, but tracking in non-vehicular environments is not effective
Solution Approach 1:
The surveillance system is designed with universal detection capability that works in both vehicular and non-vehicular environments. The electronic signature sensors can detect mobile device signatures whether the device is in a moving vehicle, stationary, or carried by a pedestrian. This multi-functionality allows the system to adapt to different environments while maintaining consistent tracking precision, as the same sensor technology effectively captures electronic signatures regardless of the target's mobility status or location type.
Data Source
AI summary
A system and method to identify and track one or more targets of interest. The system may include a plurality of collection systems to capture information related to visual identifiers and/or electronic signatures associated with targets in selected locations The system may further include an intelligence system to determine a target of interest based on the information related to visual identifiers and/or electronic signatures and to track the target of interest.