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Open Deep Water

OEM WetEnd Integration Program

Open Science Platform Concept on Raspberry Pi with OEM-WetEnd Support

๐Ÿ“‹ 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.

โœจ Key Features

๐Ÿ”ง

HAT Adapters

Individual Raspberry Pi HATs for connecting any OEM-WetEnd devices

๐Ÿ’ป

Software NAT

Drivers for protocol conversion into unified open format

๐Ÿค–

AI Analysis

Modules for time series analysis, filtering, and anomaly detection

๐ŸŒ

Open Data

Integration with scientific databases and repositories

๐Ÿ”ฌ

Scientific Ecosystem

Support for universities, research centers, and citizen science

๐Ÿ“œ

Open Licenses

Apache 2.0, CERN OHL v2, Creative Commons CC-BY 4.0

๐Ÿ—๏ธ System Architecture

OEM WetEnd
Manufacturer Equipment
โ†”
Open Deep Water HAT
Hardware Adapter
โ†”
Raspberry Pi
Adapter Manager + NAT


โ†“

AI Module
Signal Analysis


โ†“

Scientific DB
Open Data

๐ŸŽ›๏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.

๐ŸŒŠ

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.

๐Ÿ”— View Demo Project

๐Ÿ“… Development Roadmap

Stage 0: Concept and Partnerships (0โ€“6 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 (6โ€“12 months)

Developing and testing first universal HAT, creating 1โ€“2 NAT plugins for OEM-WetEnd, demonstrating prototype operation.

Budget: $100,000-200,000

Stage 2: Ecosystem Expansion (12โ€“24 months)

Adding new manufacturers and sensors, launching web portal and open data repository, implementing AI modules.

Budget: $300,000-500,000

๐Ÿ’ฐ Funding Sources

๐Ÿ‘ฅ

Crowdfunding

Kickstarter/Indiegogo campaigns, GitHub Sponsors, Open Collective, donations from research institutions

๐ŸŽ“

Scientific Grants

NSF, EU Horizon Europe, educational institution grants, regional environmental funds

๐Ÿข

Corporate Funding

Partnerships with manufacturers, licensing royalties, sponsorship, venture capital investment

๐Ÿ“„ Documentation and Materials

Download the complete project documentation in various formats and languages:

๐Ÿ“‹ Complete Concept Documents

๐Ÿ‡บ๐Ÿ‡ธ Concept (PDF, English) ๐Ÿ‡ท๐Ÿ‡บ ะšะพะฝั†ะตะฟั†ะธั (PDF, ะ ัƒััะบะธะน) ๐Ÿ‡ฉ๐Ÿ‡ช Konzept (PDF, Deutsch) ๐Ÿ‡ฎ๐Ÿ‡น Concetto (PDF, Italiano) ๐Ÿ‡ซ๐Ÿ‡ท Concept (PDF, Franรงais)

๐Ÿ“ Markdown Versions

๐Ÿ‡บ๐Ÿ‡ธ English Markdown ๐Ÿ‡ท๐Ÿ‡บ Russian Markdown ๐Ÿ‡ฉ๐Ÿ‡ช German Markdown ๐Ÿ‡ฎ๐Ÿ‡น Italian Markdown ๐Ÿ‡ซ๐Ÿ‡ท French Markdown

๐Ÿ”— Development Resources

GitHub Repository

๐Ÿ“ž Contact

๐Ÿ‘ค Contact Person: Andrew Buckin

๐Ÿ“ง Email: ipm.grp@googlemail.com

๐ŸŒ Website: (in development)

๐Ÿ“ฑ GitHub: (planned)

Project is at the concept stage, organization is being formed