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The Cargo Recognition System is an advanced AI solution for railway cargo monitoring and automatic train load recognition. Much like an electronic toll system, it uses high-resolution cameras and image recognition algorithms to identify which wagons are carrying cargo and which are empty.
By precisely recording the date, time, and content of each wagon, the system ensures accurate, transparent, and efficient control of material transportation. This results in improved billing accuracy, operational efficiency, and reduced discrepancies, making it a powerful tool for railway operators and logistics providers.
- Automated rail cargo recognition using advanced AI image processing
- Real-time detection of loaded and empty wagons
- High-resolution camera portal for precise cargo identification
- Accurate date and time stamping for every wagon passage
- Enhanced billing accuracy and reduced operational disputes
- Seamless integration with railway IT and asset management systems
- Optimized for bulk materials, containers, and mixed freight
- Scalable solution for different railway environments and cargo volumes
- Railway cargo billing and auditing
- Loaded/empty wagon verification
- Commercial dispute resolution between operators and shippers
- Real-time train load reporting
- Integration with yard and asset management systems
- Bulk, container, and mixed freight monitoring
TECHNOLOGY
Image recognition system with AI-based algorithms
High-resolution industrial cameras for day and night operation
Automatic detection of wagon load status (loaded/empty)
DATA & INTEGRATION
Records cargo presence with time and date stamps
Interfaces with railway billing and cargo management platforms
Supports data export for operational reporting and analytics
PERFORMANCE
Cargo detection accuracy rate >99%
Capable of processing trains in continuous movement
Real-time alerts and reporting
INSTALLATION & OPERATION
Portal-based architecture with camera array
Designed for outdoor railway environments
Low-maintenance operation with remote diagnostics
