Declaration Verification Using X-Ray and Text Feature Fusion
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Solution Overview
Problem
Existing inspection methods for verifying the authenticity of declared materials in transportation face challenges due to the difficulty in accurately matching machine-detected radiation images with declaration information, especially in cases of mixed or consolidated containers, leading to inefficiencies and inaccuracies in customs clearance.
Innovation Solution
A method and system that combines machine-detected radiation images with declaration information using a cross-modal fusion approach, employing a transformer encoder and decoder to identify and verify the authenticity of declared articles by integrating image and text features, allowing for intelligent inspection and detection of potential false declarations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If X-ray detection device is used to scan articles, then inspection efficiency is improved, but matching accuracy between images and declaration information deteriorates due to multiple goods with different names and specifications under the same declaration category
Solution Approach 1:
The patent segments the matching process into multiple stages: first matching declaration categories at a coarse level, then progressively refining to specific goods types and individual items. This hierarchical segmentation allows efficient broad-screening followed by precise verification, resolving the contradiction between speed and accuracy.
Solution Approach 2:
The patent applies different matching strategies to different parts of the inspection process: category-level matching uses broader criteria for speed, while item-level matching uses detailed specifications for precision. Each stage has optimized quality parameters appropriate to its function in the hierarchy.
2Productivity
If consolidation of containers or mixed packing is used, then transportation efficiency is improved, but inspection complexity increases due to non-one-to-one mapping between declaration forms and containers
Solution Approach 1:
The patent segments the container inspection problem by breaking down consolidated containers into individual declaration units. Each declaration form is treated as an independent matching unit with its own image subset, transforming a complex many-to-many mapping problem into multiple simpler one-to-one matching problems.
Solution Approach 2:
The patent introduces declaration categories as intermediary layers between containers and individual items. This intermediary structure provides a hierarchical organization that simplifies the matching process by grouping related items under common categories, reducing the overall complexity of inspecting consolidated containers.
3Measurement precision
If unpacking articles one by one is performed, then verification accuracy is improved, but manpower consumption increases significantly
Solution Approach 1:
The patent replaces manual unpacking and verification with an automated system that uses X-ray imaging combined with deep learning algorithms. The system automatically extracts features from images, matches them with declaration information, and verifies authenticity without human intervention, maintaining high accuracy while eliminating manpower consumption.
Solution Approach 2:
The patent creates digital copies of articles through X-ray imaging and uses these copies for verification instead of physically handling the original items. This digital replication allows accurate inspection without the need for physical unpacking and manual examination of each article.
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 efficiency of customs clearance by comprehensively analyzing declaration information and radiation images, reducing manual labor and improving the detection of false declarations.
Implementation Method 1
acquiring a machine-detected radiation image obtained by scanning a container loaded with an article
Data Source
AI summary
Provided is a method of verifying an authenticity of declaration information. The method includes: acquiring a machine-detected radiation image obtained by scanning a container loaded with an article; acquiring a declaration information for declaring the article in the container; performing an identification on an image information of the article in the machine-detected radiation image to obtain an image feature corresponding to the machine-detected radiation image; performing an identification on a text information of the article in the declaration information to obtain a text feature corresponding to the declaration information; screening a declaration category of the article in the container by taking the image feature as an input information and the text feature as an external introduction feature; and determining that the declaration information is in doubt when a declaration category of at least one article in the container does not belong to a declaration category in the declaration information.