๐ About the Project
Open Deep Water is a concept for a future open platform for collecting, analyzing, and publishing oceanographic, climate, and environmental data.
The platform is based on Raspberry Pi with a hardware HAT (Hardware Attached on Top) module and software NAT (Native Adapter Translator) adapters to support OEM-WetEnd from any manufacturers.
โจ Key Features
HAT Adapters
Individual Raspberry Pi HATs for connecting any OEM-WetEnd devices
Software NAT
Drivers for protocol conversion into unified open format
AI Analysis
Modules for time series analysis, filtering, and anomaly detection
Open Data
Integration with scientific databases and repositories
Scientific Ecosystem
Support for universities, research centers, and citizen science
Open Licenses
Apache 2.0, CERN OHL v2, Creative Commons CC-BY 4.0
๐๏ธ System Architecture
Manufacturer Equipment
Hardware Adapter
Adapter Manager + NAT
โ
Signal Analysis
โ
Open Data
๐๏ธ Harmony Demo Project
This small project was created to demonstrate CNN (Convolutional Neural Network) capabilities on various platforms. The system represents an underwater communication solution for receiving and transmitting text messages, showcasing the practical application of neural networks in challenging acoustic environments.
Underwater Communication Demo
The Harmony Demo showcases how artificial intelligence can be applied to underwater acoustic communication, demonstrating real-world applications of machine learning in marine environments. This technology preview illustrates the kind of AI-powered analysis capabilities that could be integrated into the Open Deep Water platform.
๐ Development Roadmap
Stage 0: Concept and Partnerships (0โ6 months)
Forming initiative group, attracting first manufacturers for pilot integration, defining HAT architecture and data format.
Budget: $25,000-50,000
Stage 1: Pilot Prototype (6โ12 months)
Developing and testing first universal HAT, creating 1โ2 NAT plugins for OEM-WetEnd, demonstrating prototype operation.
Budget: $100,000-200,000
Stage 2: Ecosystem Expansion (12โ24 months)
Adding new manufacturers and sensors, launching web portal and open data repository, implementing AI modules.
Budget: $300,000-500,000
๐ฐ Funding Sources
Crowdfunding
Kickstarter/Indiegogo campaigns, GitHub Sponsors, Open Collective, donations from research institutions
Scientific Grants
NSF, EU Horizon Europe, educational institution grants, regional environmental funds
Corporate Funding
Partnerships with manufacturers, licensing royalties, sponsorship, venture capital investment
๐ Documentation and Materials
Download the complete project documentation in various formats and languages:
๐ Complete Concept Documents
๐บ๐ธ Concept (PDF, English) ๐ท๐บ ะะพะฝัะตะฟัะธั (PDF, ะ ัััะบะธะน) ๐ฉ๐ช Konzept (PDF, Deutsch) ๐ฎ๐น Concetto (PDF, Italiano) ๐ซ๐ท Concept (PDF, Franรงais)๐ Markdown Versions
๐บ๐ธ English Markdown ๐ท๐บ Russian Markdown ๐ฉ๐ช German Markdown ๐ฎ๐น Italian Markdown ๐ซ๐ท French Markdown๐ Development Resources
GitHub Repository๐ Contact
๐ค Contact Person: Andrew Buckin
๐ง Email: ipm.grp@googlemail.com
๐ Website: (in development)
๐ฑ GitHub: (planned)
Project is at the concept stage, organization is being formed