Solar-powered intelligence protecting our shorelines, one patrol at a time.
To protect and monitor coastal environments using intelligent, solar-powered robotics.
Shellby is a sentinel for fragile ecosystems, a data-gatherer, and a community-friendly presence that bridges environmental stewardship with real-time technology. Our mission is to deploy fleets of autonomous coastal bots to monitor and protect global shorelines while generating valuable environmental, commercial, and regulatory data.
Shellby combines computer vision, autonomous navigation, and solar power to create an intelligent coastal monitoring system. Each Shellby unit conducts autonomous patrols, capturing environmental data, wildlife observations, and coastal changes while maintaining a friendly, approachable presence in public spaces.
- Solar-powered autonomous operation
- Computer vision for wildlife and environmental monitoring
- Friendly, public-facing design
- Real-time environmental data collection and alerts
- Modular platform for add-ons (water testing, drone uplinks, etc.)
- Cloud-based data dashboard and streaming
shellby-intel/
├── capture/ # Data collection and snapshot management
│ └── capture_snapshots.py
├── dataset/ # Training data organization
│ ├── images/ # Collected environmental images
│ └── labels/ # Annotated training labels
├── inference/ # Real-time detection and analysis
│ └── detect.py # Computer vision inference engine
├── model/ # Machine learning training pipeline
│ └── train.py # Model training and optimization
└── web/ # API and streaming services
└── stream_api.py # Real-time data streaming API
- Computer Vision: OpenCV, YOLO, PyTorch
- Hardware Control: Raspberry Pi, Arduino
- Data Pipeline: Python, SQLite/PostgreSQL
- Web Interface: Flask/FastAPI, WebRTC
- Cloud Integration: AWS IoT, Azure IoT Hub
- Solar Power Management: Custom power monitoring
Python 3.8+
OpenCV 4.5+
PyTorch 1.9+# Clone the repository
git clone https://github.com/yourusername/shellby-intel.git
cd shellby-intel
# Create virtual environment
python -m venv shellby-env
source shellby-env/bin/activate # On Windows: shellby-env\Scripts\activate
# Install dependencies
pip install -r requirements.txtpython capture/capture_snapshots.py
python model/train.py
# Run real-time inference
python inference/detect.py
# Start the streaming API
python web/stream_api.py
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### PHASE 1: VALIDATION & VISIBILITY
- Build Shellby MVP (basic patrol, night vision, photo logging, solar-powered)
- Run pilot tests on local beaches and collect sample data
- Produce content: daily patrol logs, "Shellby Spots Wildlife," etc.
**Early Monetization:**
- Shellby mascot merchandise
- Premium access to data logs and behind-the-scenes content
### PHASE 2: B2B ENVIRONMENTAL PARTNERSHIPS
**Goal**: Position Shellby as environmental data platform
**Target Customers:**
- Government agencies (park departments, coastal management)
- NGOs (turtle monitoring, coral protection, microplastic mapping)
- Beach resorts and coastal communities
**Revenue Streams:**
- Monthly SaaS subscriptions (ShellbyCloud data platform)
- Hardware sales and Bot-as-a-Service leasing
- Research grants and conservation sponsorships
### PHASE 3: MASS SCALE & AUTOMATED FLEETS
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## Shellby Guardianship Network
**Innovative Community Engagement**: Allow individuals and organizations to "sponsor a Shellby" and monitor specific beaches in real-time. Multiple sponsorship tiers provide:
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## Data & Analytics
Shellby collects and analyzes:
- **Wildlife Monitoring**: Species identification, behavior patterns, migration tracking
- **Environmental Changes**: Erosion patterns, debris accumulation, water quality indicators
- **Climate Data**: Temperature, humidity, UV levels, weather patterns
- **Human Activity**: Foot traffic, recreational patterns, safety incidents
- **Ecosystem Health**: Vegetation changes, nesting sites, pollution events
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## Contributing
We welcome contributions from developers, marine biologists, environmentalists, and coastal communities!
### Development Areas
- Computer vision model improvements
- Solar power optimization
- Mobile app development
- Data visualization dashboards
- Hardware integration
- Field testing and validation
### Getting Involved
1. Fork the repository
2. Create a feature branch (`git checkout -b feature/amazing-feature`)
3. Commit your changes (`git commit -m 'Add amazing feature'`)
4. Push to the branch (`git push origin feature/amazing-feature`)
5. Open a Pull Request
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## Contact & Community
- **Website**: https://tritonmining.io
- **Email**: [email protected]
- **Instagram**: @ShellbyBot
- **TikTok**: @ShellbyPatrol
- **YouTube**: Shellby Coastal Guardian
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## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
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## Acknowledgments
- Marine biology researchers and coastal conservation organizations
- Open-source computer vision community
- Solar power and robotics enthusiasts
- Beach communities welcoming Shellby trials
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*Shellby: Where technology meets conservation, one beach at a time.*