Consignment Hazard Detection via Attribute Comparison
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Solution Overview
Problem
Current methods for detecting mail bombs or consignments with explosive or harmful substances are inefficient, as they require dedicated sensor equipment and are difficult to implement in high-volume logistics systems, such as those handling millions of parcels daily, making it challenging to identify suspicious consignments quickly and prevent multiple attacks.
Innovation Solution
A method and apparatus that utilize attribute information from a database to identify potentially hazardous consignments by comparing attributes such as weight, size, and label information, generating alerts for further inspection using dedicated sensor equipment, allowing for rapid identification and interruption of logistics processing for suspicious units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If dedicated sensor equipment is used to inspect consignment content, then detection reliability of hazardous substances is improved, but device complexity and inspection time increase significantly
Solution Approach 1:
The system performs preliminary inspection using attribute information (weight, dimensions, label data) before deploying dedicated sensor equipment. By pre-identifying suspicious consignments through database comparison and attribute analysis, the system prepares a targeted list for subsequent detailed inspection, reducing the need for comprehensive scanning of all consignments
Solution Approach 2:
The inspection process is divided into two segments: a first stage using simple attribute comparison and database matching to identify suspicious items, and a second stage using dedicated sensor equipment for detailed inspection of only those identified items. This segmentation allows the system to maintain high detection reliability while reducing overall device complexity and inspection time
2Reliability
If visual inspection of each consignment is performed, then detection reliability is improved, but productivity decreases due to high volume of consignments
Solution Approach 1:
Instead of performing full visual inspection on all consignments, the system applies partial inspection only to those identified as suspicious through attribute comparison. The database matching process identifies a subset of consignments that require detailed examination, allowing the system to maintain detection reliability for critical items while processing the majority of consignments through automated attribute analysis alone
Solution Approach 2:
The system replaces manual visual inspection with automated attribute-based detection using databases and computer algorithms. By substituting human inspectors with automated systems that compare consignment attributes against known patterns of hazardous materials, the system maintains detection reliability while dramatically increasing processing speed and productivity
3Ease of operation
If standard inspection systems are used without attribute comparison, then ease of operation is maintained, but detection precision of suspicious consignments deteriorates
Solution Approach 1:
The system introduces an intermediary layer of attribute comparison and database matching between the consignment and the final inspection decision. This intermediary process analyzes weight, dimensions, and label information against a database of known hazardous material characteristics, providing a preliminary assessment that guides subsequent inspection actions without requiring complex operational changes
Data Source
AI summary
Disclosed is a method in which trigger information is obtained. The trigger information is associated with at least part of attribute information associated with at least one first consignment unit. It is determined whether or not attribute information associated with at least one second consignment unit is stored in a database that is similar to the attribute information associated with the at least one first consignment unit. If the attribute information associated with at least one second consignment unit is determined to be stored in the database that is determined to be similar to the attribute information associated with the at least one first consignment unit, then alert information is generated.