Unknown Organization (20240265334). SYSTEM AND COMPUTER-IMPLEMENTED METHOD FOR AUTOMATED GENERATION OF AI-ENABLED INSPECTION REPORTS FOR CROSS-BORDER TRADE simplified abstract
SYSTEM AND COMPUTER-IMPLEMENTED METHOD FOR AUTOMATED GENERATION OF AI-ENABLED INSPECTION REPORTS FOR CROSS-BORDER TRADE
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SYSTEM AND COMPUTER-IMPLEMENTED METHOD FOR AUTOMATED GENERATION OF AI-ENABLED INSPECTION REPORTS FOR CROSS-BORDER TRADE - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240265334 titled 'SYSTEM AND COMPUTER-IMPLEMENTED METHOD FOR AUTOMATED GENERATION OF AI-ENABLED INSPECTION REPORTS FOR CROSS-BORDER TRADE
The present invention offers a system for automated generation of AI-enabled inspection reports for cross-border trade of food and agriproducts. This system includes inspection devices, an IoT module for data collection, a blockchain framework for data security, and a computer system for data analysis and report generation.
- Inspection devices are associated with inspectors.
- IoT module gathers shipment-related data as IoT data.
- Blockchain framework secures all data.
- Computer system receives photographic data from inspection devices, integrates it with IoT data, analyzes the integrated data using AI models to assess QQW risks, and generates inspection reports based on the AI analysis.
- The generated inspection reports detail QQW risks for stakeholders in cross-border trade and are wirelessly shared with stakeholder devices.
Potential Applications: - Streamlining inspection processes in cross-border trade. - Enhancing transparency and trust in food and agriproduct supply chains. - Improving risk assessment and decision-making for stakeholders.
Problems Solved: - Manual inspection report generation. - Lack of real-time data integration and analysis. - Inefficient risk assessment methods.
Benefits: - Increased efficiency and accuracy in inspection reporting. - Enhanced data security through blockchain technology. - Improved decision-making based on AI-driven risk assessment.
Commercial Applications: Automated inspection report generation for customs authorities, importers, exporters, and other stakeholders in the food and agriproduct supply chain.
Questions about AI-enabled Inspection Reports for Cross-Border Trade of Food and Agriproducts:
1. How does the system integrate photographic data with IoT data for analysis? 2. What are the key benefits of using AI models for assessing QQW risks in cross-border trade inspections?
Original Abstract Submitted
embodiments of the present invention provides a system for automated generation of ai-enabled inspection reports for cross-border trade of food and agriproducts, comprising one or more inspection devices associated with inspectors; an internet of things (iot) module to gather shipment related data as iot data; a blockchain framework for securing all data; and a computer system connected with the one or more inspection devices, the iot module and the blockchain framework. the computer system is configured to receive photographic data related to the shipment from the one or more inspection devices; integrate the photographic data with iot data; analyze the integrated data using ai models to assess quality, quantity, and weight (qqw) risks; and generate inspection reports based on the ai analysis. the generated inspection reports are envisaged to detail the qqw risks for stakeholders in the cross-border trade and therefore, wirelessly, shared with stakeholder devices.
