1. Navigation & Autopilot Systems
PyPilot (Highly Recommended)
Website: github.com/pypilot/pypilot
Description: Open source marine autopilot system designed for low-power consumption. Excellent choice for your differential thrust steering setup.
✓ Pros:
- Modular Python architecture
- Low power consumption (solar-friendly)
- Active development community
- Supports custom motor controllers
- Works with standard marine instruments
⚠ Cons:
- Will need customization for differential thrust
- Primarily designed for rudder-based steering
- Requires some Python knowledge
Note: PyPilot is designed to work with SignalK (see below). You'll need to modify the motor control module to handle dual thrusters instead of a rudder. The compass and heading control logic should work as-is.
OpenPlotter
Website: openplotter.readthedocs.io
Description: Complete navigation platform built on Raspberry Pi. Includes PyPilot integration and chart plotting.
✓ Pros:
- All-in-one solution
- Easy installation on Raspberry Pi
- Includes weather routing
- Integrates multiple tools
- Good documentation
⚠ Cons:
- Can be resource-intensive
- More complex than needed for basic operations
SignalK
Website: signalk.org
Description: Modern data exchange format and server for marine systems. Acts as the "nervous system" connecting all instruments.
✓ Pros:
- Standard protocol for marine data
- Excellent for integrating multiple sensors
- Web-based interface
- Growing plugin ecosystem
- Works with PyPilot
⚠ Cons:
- Requires Node.js setup
- Learning curve for configuration
2. Security Camera Systems
Frigate NVR (Highly Recommended)
Website: frigate.video
Description: Modern NVR with AI object detection optimized for low power systems. Uses Google Coral for efficient AI processing.
✓ Pros:
- Excellent AI object detection (boats, people)
- Low power with Coral accelerator
- Modern web interface
- MQTT integration for alerts
- Works with standard IP cameras
- Active development
⚠ Cons:
- Requires Google Coral TPU for best performance
- Docker-based (adds complexity)
Perfect for seasteads: Can detect approaching vessels, send alerts when people approach, and only record when motion is detected to save storage.
MotionEye
Website: github.com/motioneye-project/motioneye
Description: Simple, lightweight camera monitoring system with web interface.
✓ Pros:
- Very lightweight
- Simple setup
- Good for Raspberry Pi
- Motion detection built-in
- Multiple camera support
⚠ Cons:
- No AI object detection
- Basic feature set
- Development has slowed
ZoneMinder
Website: zoneminder.com
Description: Mature, full-featured video surveillance system.
✓ Pros:
- Very mature and stable
- Extensive features
- Large user community
- Good documentation
⚠ Cons:
- Resource-heavy
- Complex setup
- Older interface
- May be overkill for small systems
Shinobi
Website: shinobi.video
Description: Modern, Docker-friendly NVR with plugin support.
✓ Pros:
- Modern interface
- Plugin architecture
- Good performance
- Docker support
⚠ Cons:
- Smaller community than alternatives
- Can be resource-intensive
3. Additional Useful Software
OpenCPN
Website: opencpn.org
Description: Chart plotter and navigation software. Essential for planning routes.
Why you need it: Plan your route, avoid shipping lanes, track position, and integrate with weather data.
Node-RED
Website: nodered.org
Description: Flow-based programming for IoT and automation.
Why you need it: Create automation rules like "if wind speed > X, send alert" or "if approaching shallow water, slow down." Perfect for integrating all your systems.
Grafana + InfluxDB
Website: grafana.com | influxdata.com
Description: Time-series database and visualization dashboard.
Why you need it: Monitor solar power generation, battery levels, GPS track, speed, motor current, water temperature, etc. All in beautiful graphs.
Home Assistant
Website: home-assistant.io
Description: Home automation platform.
Why you need it: Control lighting, monitor environmental sensors, integrate security cameras, and create automation routines. Works great on Raspberry Pi.
4. Recommended System Architecture
Hardware Recommendation
- Main Controller: Raspberry Pi 4 (4GB or 8GB) - runs PyPilot, SignalK, Node-RED
- Camera/Security System: Separate Raspberry Pi 4 (4GB) with Google Coral USB accelerator - runs Frigate
- Backup System: Additional Raspberry Pi for redundancy
- Motor Controllers: Arduino or ESP32 for thruster control (interfaced with PyPilot)
- Network: Ethernet switch connecting all systems
Software Stack
Navigation & Control (Pi #1):
- Raspberry Pi OS Lite
- SignalK Server (data hub)
- PyPilot (autopilot with custom differential thrust)
- OpenCPN (chart plotting)
- Node-RED (automation)
- InfluxDB (data logging)
- Grafana (monitoring dashboards)
Security & Monitoring (Pi #2):
- Raspberry Pi OS Lite
- Frigate NVR (camera system)
- MQTT broker (for alerts)
Power Consumption Note: This setup should run on approximately 20-35W total, very manageable with solar power. The dual-Pi setup provides redundancy and prevents camera processing from interfering with navigation.
5. Custom Development Needed
Differential Thrust Steering Module
You'll need to create a Python module that:
- Takes heading commands from PyPilot
- Calculates differential thrust needed (left vs right thruster speeds)
- Sends commands to motor controllers via serial/I2C/GPIO
- Monitors motor current and RPM feedback
- Handles eddy current optimization (reduce power when currents are favorable)
Tip: This is approximately 200-400 lines of Python. The PyPilot community is helpful and the codebase is well-structured for this type of modification.
Efficiency Optimizer
Given your 1 MPH speed goal and eddy current usage:
- Monitor GPS speed and power consumption
- Detect when currents are favorable (faster speed with less power)
- Automatically reduce motor power when possible
- Log efficiency data for route planning
This could be built in Node-RED or as a Python script.
Final Recommendation Summary
For Autopilot: PyPilot + SignalK (with custom differential thrust module)
For Security Cameras: Frigate NVR (best AI detection, low power)
For Integration: Node-RED + MQTT
For Monitoring: Grafana + InfluxDB
For Charts: OpenCPN
Total Cost: $0 for software (all open source), ~$500-800 for hardware (2x Raspberry Pi 4, Google Coral, GPS, compass, cameras, motor controllers)
Questions or Need More Details?
This is a fascinating project! If you need more specific guidance on any of these components, or want help with the custom differential thrust steering code, feel free to ask. The seastead design with angled columns is unique and should handle wave action well.
Good luck with your build! 🌊