Shipment Integrity Verification via Digital Image Comparison
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Solution Overview
Problem
Current methods for tracking and verifying the integrity of goods shipments, especially temperature-sensitive pharmaceuticals, are time-consuming and labor-intensive, requiring manual inspection and documentation to ensure that goods remain intact and within specified temperature ranges during transportation.
Innovation Solution
A method using a data logger-equipped transport container that records geographical position and temperature data, along with digital imaging of the container seal and goods at origin and destination, which is compared using a self-learning algorithm to determine any deviations or tampering, allowing for automated verification of shipment integrity without manual intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual inspection and documentation methods are used to verify shipment integrity, then verification can be performed, but the process becomes time-consuming and labor-intensive
Solution Approach 1:
The patent uses digital images as copies of the physical goods, seal, and container state. These digital copies are captured at origin and destination, allowing verification without manual physical inspection. The image comparison algorithm processes these copies to detect any changes or tampering, significantly reducing verification time while maintaining reliability.
Solution Approach 2:
The patent replaces manual mechanical inspection with an automated image processing system. A data processing unit executes comparison algorithms that automatically analyze digital images, substituting the mechanical human inspection process with electronic automation. This eliminates labor-intensive manual verification while providing consistent, reliable results.
2Reliability
If manual inspection methods are used to check goods integrity, then verification is possible, but the device complexity and manual effort increase
Solution Approach 1:
The patent creates a multi-functional system where a single automated platform performs multiple verification tasks: capturing digital images, comparing images using algorithms, analyzing seal integrity, verifying container conditions, and detecting tampering. This universal system replaces multiple separate manual inspection processes, reducing overall system complexity despite the advanced technology involved.
Solution Approach 2:
The verification system is self-service in that it automatically performs all verification tasks without human intervention. The data processing unit autonomously executes comparison algorithms, analyzes image data, and generates verification results. The system serves itself by automatically capturing, processing, and comparing data throughout the shipment journey.
3Loss of information
If conventional documentation methods are used to record goods condition, then documentation can be created, but the documentation effort and time required increase significantly
Solution Approach 1:
The patent captures digital images of the goods, seal, and container at the origin before shipment begins. This preliminary documentation records the initial state, eliminating the need for time-consuming manual documentation at both origin and destination. The pre-captured images serve as the baseline for later comparison, ensuring complete information is recorded upfront.
Solution Approach 2:
The system creates digital copies of all relevant physical elements (goods, seal, container) that serve as complete documentation. These digital images replace traditional written documentation methods, providing comprehensive visual records that can be stored, transmitted, and analyzed electronically without manual transcription or documentation effort.
4Productivity
If automated image comparison is implemented to verify shipment integrity, then verification speed increases, but the need for advanced data processing systems increases complexity
Solution Approach 1:
The patent extracts the essential verification function from complex manual processes and concentrates it in a dedicated data processing unit. This unit specifically handles image comparison using specialized algorithms, separating the computational complexity from the overall system. The extraction of this specific function allows for optimized processing while keeping the rest of the system relatively simple.
Data Source
AI summary
In a method for tracking and for verifying the integrity of consignments of goods with a transport container which has a data logger for recording status data of the transport container and optionally a seal, the transport container being sent from a place of origin to a destination as part of a transport order, it is provided that at least a first digital image of the seal, of the transport container and/or of the goods arranged in the transport container is created at the place of origin and at the destination and that the digital images are compared by means of a comparison algorithm of a data processing unit in order to determine the extent to which the images match and in order to output as a result of the comparison algorithm whether the consignment of goods has remained intact or not.