Trailer ID Detection Using Character Attribute Analysis
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Solution Overview
Problem
Current license plate recognition technologies face challenges in detecting trailer IDs from multiple character strings of varying sizes, colors, and designs, as there is no unified standard for trailer IDs, making it difficult to accurately identify the trailer ID from captured images.
Innovation Solution
A character recognition device and method that includes a recognizer to identify character strings from images, an attribute determinator to assess the attributes of these strings, and a trailer ID estimator to determine if the string is a trailer ID based on specific attributes such as writing manner, position, and content, allowing for accurate detection of trailer IDs amidst other text.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a quadrangle that satisfies a predetermined condition is determined as the quadrangle of the license plate region candidate, then the license plate recognition can be performed, but it is difficult to detect the trailer ID from various character strings written at any positions of the object to be imaged
Solution Approach 1:
The patent changes the parameters used for character string detection from fixed geometric conditions (quadrangle shape, position) to multiple attributes including writing manner (vertical/horizontal), size, color, and content characteristics. This allows the system to adapt to trailer IDs written at various positions and in different formats without being constrained by predetermined quadrangle conditions.
Solution Approach 2:
The patent segments the character string detection process into multiple independent attribute analysis steps: detecting writing manner, size, color, and content separately, then综合 evaluating these attributes to determine if a character string is a trailer ID. This segmentation allows flexible handling of different character string formats and positions.
2Quantity of substance
If multiple character strings of various sizes, colors, and designs are present on the trailer, then more information is available for identification, but it becomes difficult to distinguish the actual trailer ID from other character strings
Solution Approach 1:
The patent applies local quality analysis by examining specific attributes (writing manner, size, color, content) of each character string individually. The system identifies that trailer IDs typically have distinct local characteristics such as vertical writing manner, specific size ranges, and particular content patterns, which differentiate them from other character strings on the trailer.
Solution Approach 2:
The patent implements feedback mechanisms where the detected attributes of character strings are continuously evaluated and compared against known trailer ID characteristics. The system refines its identification by using feedback from attribute analysis to adjust detection parameters and improve accuracy in distinguishing trailer IDs from other text.
Data Source
AI summary
A character recognition device includes a recognizer that recognizes at least one character string from an image including a trailer captured by an imaging device, an attribute determinator that determines an attribute of the character string recognized by the recognition unit, and a trailer ID estimator that estimate whether the character string is a trailer ID based on the attribute of the character string determined by the attribute determinator.