Optically Active License Plate Encoding for Vehicle Recognition
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Solution Overview
Problem
Automated Vehicle Recognition (AVR) and Automated License Plate Recognition (ALPR) systems face challenges with RFID tag detection, especially in environments with metal interference and when tags are unpowered, and image capture systems struggle with license plate recognition due to image quality issues.
Innovation Solution
The use of optically active articles with embedded encoding regions printed on license plates using visibly-opaque and infrared-transparent inks, which reflect infrared light to enable accurate data decoding by image capture devices, allowing for improved recognition and processing of vehicle information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If RFID technology is used for vehicle recognition, then vehicle identification capability is improved, but detection reliability deteriorates in the presence of metal interference and with unpowered tags
Solution Approach 1:
The patent introduces an intermediary encoding system that bridges the gap between RFID limitations and optical reading capabilities. The intermediary consists of encoded patterns (such as data blocks, check digits, and synchronization markers) printed on the license plate that translate vehicle identification information into a format readable by optical sensors, thereby mediating between the unreliable RFID system and the robust optical detection system.
Solution Approach 2:
The patent replaces the electromagnetic field-based RFID detection system with an optical detection system that uses image capture devices to read encoded patterns on the license plate. This substitution leverages the robustness of optical systems against metal interference and unpowered tag conditions, while maintaining vehicle identification functionality through encoded visual patterns.
2Adaptability or versatility
If ALPR systems use image capture devices to read license plate information, then vehicle recognition coverage is improved, but measurement precision deteriorates due to image quality issues
Solution Approach 1:
The patent employs color and optical property changes to encode data on the license plate. Different regions of the license plate are assigned distinct optical characteristics (such as retroreflective versus non-retroreflective materials, different colors, or varying ink densities) that create high-contrast encoded patterns. These optical variations enable the image capture device to distinguish encoded data with high precision even under varying lighting and viewing conditions.
Solution Approach 2:
The patent utilizes parameter changes in the optical properties of license plate regions to encode information. By varying parameters such as reflectivity, absorption, color, and spatial distribution of materials across different license plate zones, the system creates encoded patterns that can be reliably detected and decoded by image capture devices, thereby improving measurement precision without sacrificing recognition coverage.
3Adaptability or versatility
If encoding regions are embedded within license plate symbols, then data extraction capability is improved, but manufacturing complexity increases
Solution Approach 1:
The patent merges the identification function and the data encoding function into a single integrated license plate structure. The encoded patterns are incorporated directly into the license plate design during manufacturing, combining the visual identity elements (letters, numbers) with data-bearing encoding regions. This integration eliminates the need for separate encoding components and reduces manufacturing complexity while maintaining enhanced data extraction capability.
Solution Approach 2:
The patent designs the license plate to serve multiple functions simultaneously: traditional identification display, encoded data storage, and verification through check digits. The same physical license plate structure carries out all these functions through strategically placed encoding regions, achieving multi-functionality without requiring separate systems or components, thereby avoiding increased manufacturing complexity.
4Loss of information
If multiple encoding regions are used on license plates, then information capacity is improved, but difficulty of detecting and measuring increases
Solution Approach 1:
The patent segments the license plate into distinct functional zones with specific encoding purposes. Different regions are assigned specific roles such as data blocks for information storage, check digit regions for verification, and synchronization markers for alignment. This segmentation organizes the encoded information into manageable, systematically arranged segments that facilitate easier detection and decoding despite the increased overall information capacity.
Solution Approach 2:
The patent incorporates check digits and verification codes within the encoding structure that provide feedback on the accuracy of data extraction. These feedback mechanisms enable the decoding system to verify successful reading, detect errors, and request re-reading if necessary, thereby reducing the effective difficulty of reliable detection and measurement even as information capacity increases.
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
Enhances the accuracy and reliability of vehicle identification and data extraction by utilizing the contrast between visible and infrared spectra to decode embedded data on license plates, overcoming limitations of existing RFID and image capture technologies.
Implementation Method 1
visibly-opaque and infrared-transparent inks, which reflect infrared light to enable accurate data decoding by image capture devices
Data Source
AI summary
In some examples, a computing device receives an image of an optically active article that includes a set of one or more symbols of a symbol set, wherein at least one symbol of the set of one or more symbols comprises a set of encoding regions that are embedded with the symbol. In response to receiving the image, the computing device may determine that a particular image region of the image represents the at least one symbol. For encoding regions within the at least one symbol, the computing device may determine, based at least in part on the determination that the particular image region of the image represents the at least one symbol, whether the one or more encoding regions are active or inactive. The computing device may perform, based at least in part on whether the one or more encoding regions are active or inactive, one or more operations.


