Article Inspection System Using Associated Particle Imaging
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Solution Overview
Problem
Current inspection systems, such as those using X-ray imaging and associated particle imaging (API), face challenges with high false alarm rates and processing time due to the need to analyze large amounts of data from entire articles, leading to inefficiencies in detecting suspicious or dangerous materials.
Innovation Solution
An inspection system that utilizes a localizer to identify regions of interest within an article, selecting and analyzing only the corresponding API data from these areas, reducing processing time and data volume, and incorporating an imaging device to further refine the analysis by focusing on areas of uniform density.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If all API data from the entire article is processed to determine elemental makeup, then detection accuracy is improved, but processing time and computational resources increase significantly
Solution Approach 1:
The article is divided into multiple regions of interest (ROIs) based on imaging data, and only API data corresponding to these ROIs is processed. This segmentation approach maintains detection accuracy for suspicious materials while significantly reducing the volume of data that requires computational analysis.
Solution Approach 2:
The system extracts and isolates only the API data corresponding to identified regions of interest from the full dataset. By removing irrelevant data from areas determined to be low-risk based on imaging characteristics, the system reduces processing requirements while preserving detection capability for dangerous materials.
2Measurement precision
If all API data from the entire article is processed to determine elemental makeup, then detection accuracy is improved, but computational resources required increase significantly
Solution Approach 1:
The article is divided into multiple regions of interest (ROIs) based on imaging data, and only API data corresponding to these ROIs is processed. This segmentation approach maintains detection accuracy for suspicious materials while significantly reducing the volume of data that requires computational analysis.
Solution Approach 2:
The system extracts and isolates only the API data corresponding to identified regions of interest from the full dataset. By removing irrelevant data from areas determined to be low-risk based on imaging characteristics, the system reduces processing requirements while preserving detection capability for dangerous materials.
3Productivity
If imaging device is added to identify regions of interest, then processing speed increases, but device complexity increases
Solution Approach 1:
The system combines imaging device data with API data through a unified processing framework. The imaging device provides initial segmentation information that guides subsequent API data analysis, allowing the system to leverage multiple data sources synergistically to improve processing efficiency.
Solution Approach 2:
The imaging device performs preliminary identification of regions of interest before API data analysis begins. This preliminary action creates a roadmap that directs the subsequent, more resource-intensive API processing, ensuring that computational resources are focused on the most relevant areas of the 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
This approach significantly reduces false positives and negatives, increases processing speed, and enhances the accuracy of detecting anomalous elements by concentrating analysis on specific regions with potential threats.
Implementation Method 1
API utilizes a small neutron generator that produces coincident neutrons and alpha particles that travel in opposite directions
Implementation Method 2
The tagged neutron produces a gamma ray when it collides with a nucleus in a material
Implementation Method 3
The emitted gamma ray is detected by a gamma ray detector within a few tens of nanoseconds after the alpha particle emission
Data Source
AI summary
An inspection system and method for determining the elemental makeup of contents of an article includes a localizer for identifying at least one region of interest of the article from data representative of contents of the article, the at least one region of interest having a cross-sectional area or a volume that is less than the entire cross-sectional area or the entire volume of the article, an associated particle imaging device that produces an output that is indicative of the elemental makeup of contents of the article, a data selector for selecting a portion of the output of the associated particle imaging device that corresponds to respective identified regions of interest, and an analyzer for analyzing the portions of the output of the associated particle imaging device selected by the data selector to determine the elemental makeup of contents of the article in each identified region of interest.