Correlating Vehicle and Device Identifiers for Suspicious Person Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional measures for enhancing public safety in areas like neighborhoods, airports, and border checkpoints lack the ability to efficiently and accurately correlate vehicle information with electronic device identifiers and facial information, leading to ineffective identification and notification of suspicious vehicles and individuals.
Innovation Solution
A system and method that utilize cameras and electronic device identification sensors to capture and correlate license plate IDs, electronic device identifiers, and facial information within designated detection zones, allowing for real-time identification and notification of suspicious vehicles and individuals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional security measures (manual patrols, guard checks) are used to enhance public safety, then human monitoring capability is maintained, but the ability to efficiently correlate vehicle information with electronic device identifiers and facial information is insufficient
Solution Approach 1:
The patent combines multiple detection systems (license plate recognition cameras, electronic device identification sensors, facial recognition cameras) into a unified monitoring system. The computing system integrates data from these diverse sources to correlate vehicle information with electronic device identifiers and facial information, achieving comprehensive identification without requiring separate manual processes for each type of data collection.
Solution Approach 2:
The monitoring system performs multiple functions simultaneously: it detects license plates, identifies electronic devices, captures facial information, and correlates all this data together. This multi-functional approach replaces multiple specialized systems with a single universal platform that handles various identification tasks through integrated sensor arrays and centralized processing.
2Productivity
If manual security measures are employed, then operational simplicity is maintained, but productivity and efficiency in identifying suspicious vehicles and individuals are reduced
Solution Approach 1:
The system operates autonomously by automatically detecting license plates, identifying electronic devices, capturing facial data, and correlating this information without human intervention. The computing system independently processes sensor data, compares it against databases of suspicious vehicles and individuals, and generates identification results, eliminating the need for manual security personnel to perform these specific correlation tasks.
Solution Approach 2:
The patent replaces manual mechanical security operations with automated electronic and optical systems. Instead of security personnel manually checking vehicles and cross-referencing information, the system uses cameras, sensors, and computing algorithms to automatically detect, capture, and correlate identification data from multiple sources simultaneously.
3Loss of information
If comprehensive data collection (license plates, electronic device IDs, facial information) is implemented, then identification capability is improved, but information processing complexity increases
Solution Approach 1:
The system divides the complex identification process into distinct functional modules: license plate detection by dedicated cameras, electronic device identification by separate sensors, facial recognition by specialized cameras, and data correlation by the computing system. Each component handles a specific type of data collection and processing, reducing the complexity burden on any single element while achieving comprehensive information gathering through coordinated operation of segmented functional units.
Data Source
AI summary
A system for monitoring vehicle traffic includes one or more non-transitory computer-readable storage media storing computer-executable instructions that, when executed by one or more processors, cause a computing system to recognize, using images, at least one of a first face of a person in a facial detection zone, compare the first face to a database, identify the person as a suspicious person, and correlate the first face with a stored electronic device identifier. The computer-executable instructions further cause the computing system to access at least one personal identification database, and retrieve personal identification information of a suspicious individual by correlating information of the personal identification database with the first face or the stored electronic device identifier.