Automated Closed Package Inspection via Content Attributes Profile
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Solution Overview
Problem
Existing manual inspection methods for closed packages are labor-intensive, costly, and prone to human error, making it difficult to efficiently determine jurisdiction entry compliance without opening the packages.
Innovation Solution
An automated system that generates a jurisdiction entry compliance indicator (JECI) by analyzing a content attributes profile (CAP) of a closed package, using natural language processing and machine learning models to determine compliance with predetermined permissions rules and attributes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If manual inspection methods are used for closed packages, then inspection can be performed with simple equipment, but labor costs are high and processing time is long
Solution Approach 1:
The patent replaces manual mechanical inspection with an automated imaging system that uses cameras to capture images of closed packages. The system automatically processes these images through software algorithms to identify package contents and generate compliance indicators, eliminating the need for manual opening and inspection of packages while significantly increasing processing throughput.
2Loss of time
If manual inspection methods are used for closed packages, then processing time per package is long, but measurement accuracy can be maintained through human judgment
Solution Approach 1:
The system replaces human judgment with automated image recognition algorithms that analyze package images, compare them against known content patterns, and generate compliance indicators. This automated approach maintains consistent accuracy while dramatically reducing processing time from minutes per package to seconds per package.
Solution Approach 2:
The system creates digital copies of package images and processes these copies through software algorithms to determine compliance. This allows multiple analyses of the same package image without physical handling, enabling rapid re-evaluation and reducing processing time while maintaining measurement precision through consistent algorithmic application.
3Reliability
If packages are opened for inspection, then content verification is direct and accurate, but package integrity is compromised and labor requirements increase
Solution Approach 1:
The system performs preliminary imaging of closed packages before any opening or handling occurs. By capturing images of the sealed package and analyzing its contents through image recognition, the system verifies content compliance while maintaining package integrity and eliminating the need for subsequent opening and manual inspection operations.
Data Source
AI summary
Apparatus and associated methods relate to automatically generating a jurisdiction entry compliance indicator (JECI) based on an automatically generated content attributes profile (CAP) for a closed package. In an illustrative example, the CAP may be generated based on predetermined content attributes selected by a content characterization model as a function of a contents description profile (CDP) for the package. The CDP may, for example, be automatically generated by a natural language processing model as a function of a predetermined text description of contents of the package. The JECI may be generated as a function of the CAP, predetermined permissions rules, and predetermined permissions attributes. The predetermined permissions attributes may be associated with the originator. The predetermined permissions rules may be identified by a rules identification model as a function of the CAP and a destination of the package. Various embodiments may advantageously automatically inspect contents of closed packages.