Satellite Barge Tracking for Inland Waterway Traffic Visibility
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Solution Overview
Problem
Existing vessel tracking systems, such as AIS, do not provide comprehensive data on barge movements in inland waterways due to the lack of installation on non-motorized barges, leading to incomplete visibility, data gaps, and operational inefficiencies.
Innovation Solution
A system utilizing remote sensing data and computer-implemented analytics to detect, track, and monitor barge traffic by identifying candidate objects, classifying barge-related features, determining position and movement status, and outputting barge monitoring data, including filtered features and movement status.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If AIS systems are used for vessel tracking, then motorized vessels can be monitored, but non-motorized barges cannot be detected leading to incomplete traffic visibility
Solution Approach 1:
The patent replaces the electronic AIS system with an optical remote sensing system using satellite imagery. This substitution enables detection of non-motorized barges that lack electronic transmitters, achieving complete coverage of all barge types including those without power systems.
Solution Approach 2:
The system creates visual copies of barge locations through satellite imagery analysis. By detecting visual features of barges in satellite images and tracking their positions across multiple images, the system monitors all barges regardless of whether they have electronic identification systems.
2Loss of information
If manual reporting methods are used at locks and ports, then some barge data can be collected, but continuous spatial coverage is lost and data gaps occur
Solution Approach 1:
The satellite-based system provides universal monitoring coverage across the entire waterway network simultaneously. A single remote sensing system replaces multiple localized manual reporting points, achieving continuous spatial coverage without requiring distributed human operations at each location.
Solution Approach 2:
The system enables automatic detection and tracking of barges through algorithmic analysis of satellite imagery. The automated image processing and object recognition algorithms eliminate the need for manual data collection and reporting, reducing operational complexity while maintaining continuous monitoring.
3Reliability
If remote sensing data processing is implemented, then comprehensive barge detection is achieved, but computational complexity increases
Solution Approach 1:
The patent segments the remote sensing data processing into distinct functional modules: image acquisition, pre-processing, barge detection, feature extraction, and tracking. This segmentation allows each module to be optimized independently, managing computational complexity while maintaining high detection accuracy through specialized processing at each stage.
Data Source
AI summary
A computer-implemented system processes remote sensing data to detect and monitor barge traffic in inland waterways. The system obtains remote sensing data representing at least a portion of a waterway region and identifies candidate objects within the waterway region. The system classifies the candidate objects to differentiate barge-related features from other features and filters the barge-related features based on one or more criteria to produce filtered barge-related features. Position information for the filtered barge-related features is determined, and a movement status is classified based on the position information, wherein the movement status indicates at least one of: upbound, downbound, or stationary. In response to classifying the movement status, the system outputs barge monitoring data including the filtered barge-related features, the position information, and the movement status. The barge monitoring data may be used for analysis, visualization, or further processing in downstream systems.