Invention Reference Number
Electronic Navigational Charts (ENCs) are essential for safe maritime navigation but evaluating whether chart updates present critical safety risks often requires time-intensive expert review. This technology uses artificial intelligence to automate the classification of ENC changes, helping organizations rapidly distinguish between critical and non-critical updates. By reducing manual review efforts and improving the efficiency of chart analysis, the technology supports faster decision-making for maritime navigation systems and geospatial applications.
Description
This software technology applies machine learning to automate the analysis of changes within Electronic Navigational Charts used by vessels worldwide. The platform integrates specialized capabilities for interpreting standardized ENC data, preparing it for analysis, and applying trained artificial intelligence models to classify chart changes based on their potential impact to navigational safety. Its modular architecture supports expansion with additional models as new capabilities become available while maintaining compatibility with existing ENC standards. By automating a process that traditionally depends on expert review, the technology enables organizations to process larger volumes of chart updates more efficiently, improving consistency and reducing the time required to identify changes that warrant further evaluation. The software can be integrated into existing maritime navigation and geospatial workflows to enhance operational awareness and support informed decision-making.
Benefits
- Reduces time and effort required for manual chart review
- Automates classification of navigational chart updates
- Improves consistency in evaluating potential navigation risks
- Scalable architecture that supports future model enhancements
Applications and Industries
- Maritime navigation systems
- Commercial GIS software
- Hydrographic offices
- Maritime transportation and shipping
- Marine geospatial data services
Contact
To learn more about this technology, email partnerships@ornl.gov or call 865-574-1051.
