一种用于货物审批报告的智能审核方法
By identifying and quantifying numbering errors in cargo approval reports using intelligent auditing methods, the accuracy and efficiency issues of certificate number verification in air freight have been resolved, enabling an efficient and accurate auditing process and reducing transportation risks.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGDONG AIRPORT GRP LOGISTICS CO LTD
- Filing Date
- 2025-08-12
- Publication Date
- 2026-07-17
AI Technical Summary
In the existing technology, the verification of air cargo certificate numbers suffers from low accuracy and low efficiency. In particular, subtle errors are easily overlooked during manual verification, and the high timeliness requirements of air cargo further contribute to the low verification efficiency.
By acquiring form data from cargo approval reports, identifying the corresponding numbers for keywords, calculating the error characterization value, classifying error anomaly categories, and conducting audit analysis based on the anomaly category, including comparing the number characteristics in the compliant number database with actual number images, the severity of errors and potential risks are quantified, thereby improving accuracy and efficiency.
This improved the accuracy and efficiency of air cargo certificate number verification, reduced problems in the transportation process, lowered transportation risks, and ensured that goods were loaded on time and transported in compliance with regulations.
Smart Images
Figure CN120912145B_ABST