Deployable Checkpoint License Plate Reader System
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Solution Overview
Problem
Current traffic surveillance systems for vehicle license plate monitoring lack efficiency and accuracy, particularly in dynamic environments like deployable checkpoints, where vehicles operate at varying speeds and lighting conditions, and often require additional transponders or complex setup.
Innovation Solution
A self-contained traffic surveillance system with multiple cameras, including LPR cameras and video cameras, synchronized with a field control unit and trigger device, utilizing infrared LED illumination and image processing algorithms for real-time license plate recognition and data storage, capable of operating at speeds up to 85 miles per hour without the need for inductive coils across the roadway.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional LPR systems are deployed at checkpoints, then license plate recognition can be performed, but the system requires complex setup including inductive coils across the roadway and additional transponders
Solution Approach 1:
The patent extracts and eliminates the complex inductive coil and transponder components from the traditional LPR system. Instead of requiring these additional elements, the system uses a simplified approach with cameras positioned at checkpoints that can capture license plate images without needing embedded roadway infrastructure or vehicle transponders.
Solution Approach 2:
The patent makes the camera system universal by enabling it to perform multiple functions: capturing images of license plates, vehicles, and occupants simultaneously. This multi-functional approach eliminates the need for separate specialized devices for each function, thereby reducing overall system complexity while maintaining recognition reliability.
2Measurement precision
If multiple cameras and processing units are deployed for comprehensive monitoring, then monitoring accuracy improves, but system complexity and deployment difficulty increase
Solution Approach 1:
The patent merges multiple camera functions and processing operations into a single integrated system. Instead of deploying separate independent units for capturing vehicle images, license plate images, and occupant images, the system combines these functions into one coordinated camera array that operates as a unified unit, thereby maintaining monitoring accuracy while simplifying deployment.
Solution Approach 2:
The patent implements preliminary configuration where the system parameters, camera positioning, and processing algorithms are pre-set and optimized before deployment. This preliminary preparation allows the system to achieve high monitoring accuracy without requiring complex real-time configuration or adjustment during operation, thereby easing the deployment process.
3Productivity
If the system operates at high vehicle speeds, then throughput increases, but image quality and recognition accuracy may deteriorate
Solution Approach 1:
The patent employs periodic action through synchronized image capture sequences. Instead of attempting to capture a single perfect image at high speed, the system uses multiple periodic captures at different positions and times, then processes these sequences to reconstruct accurate license plate images. This allows the system to maintain both high throughput and recognition accuracy by leveraging temporal redundancy.
Solution Approach 2:
The patent dynamically changes system parameters such as shutter speed, aperture, and image processing algorithms based on detected vehicle speed. When vehicles travel at higher speeds, the system automatically adjusts these parameters to optimize image quality while maintaining the ability to recognize license plates accurately, thereby balancing productivity with measurement precision.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system provides accurate and efficient license plate recognition and data collection, enabling effective traffic monitoring and enforcement, with the ability to transmit records to external databases for further analysis, and can be deployed covertly or visibly, supporting both front and rear plate reading with optional facial recognition.
Implementation Method 1
a pulsed infrared LED illuminator that is synchronized with the camera aperture
Implementation Method 2
The illumination source is infrared, which is invisible to the driver
Implementation Method 3
A camera is used to capture an image of a license plate
Implementation Method 4
Image-processing software then analyzes the images and extracts the plate information
Data Source
AI summary
A system and method for conducting traffic surveillance at a deployable checkpoint lane. At least one license plate reader is positioned adjacent to the checkpoint lane, in a predetermined location relative to a license plate reading zone, for acquiring and interpreting images of a license plate on a vehicle transiting through the license plate reading zone. At least one video camera is positioned adjacent to the checkpoint lane for capturing images of the vehicle transiting through the license plate reading zone. A trigger device is positioned adjacent to the checkpoint lane for initiating the capture of video images of the vehicle. A field control unit including a processor and a data store, and cooperative with each digital and video camera, compares images of the license plate on the vehicle and determines which license plate characters and vehicle images to store in a vehicle record to be transmitted to an external database for processing and analysis.