MarIntelligence
An advanced maritime intelligence platform using computer vision and deep learning to analyze ship movements, classification, and provide predictive insights for port management.
Technologies Used
Overview:
MarIntelligence is a cutting-edge maritime intelligence platform that leverages computer vision and deep learning to provide real-time insights into ship movements, cargo operations, and port activities.
Key Features
Real-time Ship Detection and Tracking:
- Advanced **YOLO-based** object detection for identifying ships in satellite imagery
- Multi-object tracking across video frames
- Automatic ship classification (**cargo, tanker, passenger**, etc.)
Anomaly Detection & Security Monitoring:
- Machine learning models to detect unusual ship behavior
- Geofencing and restricted area monitoring
- Alert system for suspicious activities
Predictive Analytics
- Port congestion prediction using historical data
- Estimated arrival time (ETA) calculations
- Cargo volume forecasting
Technical Implementation:
Computer Vision Pipeline:
The system uses a multi-stage pipeline:
1. Image preprocessing and enhancement
2. Ship detection using **YOLOv8**
3. Feature extraction and classification
4. Tracking and trajectory analysis
Backend Architecture:
Built with **FastAPI** for high-performance API endpoints, **PostgreSQL** for structured data storage, and **Redis** for caching and real-time data processing.
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Challenges and Solutions:
Challenge: Processing high-resolution satellite imagery in real-time
**Solution:** Implemented distributed processing using Docker containers and optimized the detection pipeline with TensorRT
Challenge: Handling poor weather conditions affecting image quality
**Solution:** Developed preprocessing techniques including dehazing, contrast enhancement, and noise reduction
Results:
- 80% accuracy in ship detection
- Real-time processing of **4K video feeds**
- Successfully deployed for **2 port authorities**
- Processing over **10,000 ship movements daily**
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