License Plate Data Collection System for Stolen Vehicle Identification
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Solution Overview
Problem
Existing vehicle surveillance systems lack comprehensive data storage over extended periods and effective analysis of collected license plate data for various applications, such as identifying stolen vehicles, determining residency, and enforcing regulations.
Innovation Solution
A system for collecting, storing, and processing license plate data, including time and location information, which allows for correlation and comparison with databases to identify patterns and anomalies, such as repeated appearances of a vehicle in the same location, enabling the identification of abandoned stolen vehicles and determining residency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If license plate data is collected and stored over extended periods for comprehensive analysis, then the ability to identify patterns such as abandoned stolen vehicles and determine residency improves, but the system complexity and data storage requirements increase
Solution Approach 1:
The patent segments the data storage system into multiple databases organized by geographic region, time period, and vehicle type. This segmentation allows the system to manage extended period data more efficiently by dividing it into manageable sections that can be accessed and analyzed independently, reducing overall system complexity while maintaining comprehensive coverage.
Solution Approach 2:
The patent introduces multiple dimensions for data organization including geographic location, time intervals, vehicle characteristics, and ownership information. By adding these dimensional layers to the data storage structure, the system can efficiently query and analyze specific aspects of the collected data without requiring complete processing of all stored information, thereby managing complexity.
2Loss of information
If comprehensive vehicle data including images and multiple data fields is collected, then the information available for analysis and law enforcement applications increases, but the data processing time and computational resources required increase
Solution Approach 1:
The patent implements preliminary processing of collected vehicle data by automatically extracting key information fields from images and raw data during the collection phase. Data is pre-organized into standardized formats and indexed by relevant characteristics before being stored in databases, which significantly reduces the time required for subsequent analysis and querying operations.
Solution Approach 2:
The patent creates multiple copies of vehicle data stored in different formats and organizational structures within the database system. This allows the same underlying information to be accessed efficiently for different types of queries without requiring repeated processing of the original raw data, thereby reducing processing time while maintaining complete information availability.
3Measurement precision
If data is collected from multiple locations and time periods to improve analysis accuracy, then the ability to identify stolen vehicles and enforce regulations improves, but the quantity of data to be managed and processed increases
Solution Approach 1:
The patent designs a universal database structure and processing framework that can handle multiple types of vehicle data from various sources, locations, and time periods using the same organizational schema and query mechanisms. This multi-functional approach allows the system to efficiently manage diverse data volumes without requiring separate processing systems for each data source, thereby controlling management complexity despite increased data quantity.
Data Source
AI summary
A system for collecting, storing, linking and processing license plate data to provide compilations of information and displays of such compiled information. The system has a license plate reading system that may record time and location data in addition to license plate data, license plate image data, and image data of a vehicle. The data is collected over an extended period of time and stored for later searching. The data may be correlated, indexed and/or categorized in storage. The collected data may be compared to various existing or other databases and correlated and/or indexed to such databases. That collected data may be processed, searched, and/or analyzed for a variety of purposes.