Deepwater Syst.© is a disruptive innovation on the market, which will profoundly change the business of treasure recovery and deep-sea mining.
The world is on the verge of a major technological breakthrough in deep-water exploration, which will bring along incredible discoveries and multi-billion profits already in the next few years.
The most valuable find
100 000 +
deep waters are
$2 000M +
For three years, our team has been developing Deepwater Syst. ©, a unique large-scale information and measurement system to collect and interpret data patterns from the seabed. We built on existing underwater scanning technology but enriched it with Artificial Intelligence (AI) and adapted it to create specialized gliders to collect data about sunken objects, natural formations, and other features of the seabed. Gliders conduct underwater scanning and supply information to the DeepWater Neural Network, which learns to recognize underwater patterns.
To truly benefit from the potential of Deepwater Syst.©, we need to build the largest fleet of autonomous gliders in the world.
Along the historical trade routes between the New and the Old World in the Caribbean Sea, in the Atlantic and Pacific Oceans.
To collect data, the DeepWater team will use Autonomous Unmanned Underwater Vehicles - Gliders.
◈ "Peer-to-Peer" Data Exchange
◈ Wi-Fi Mesh-Networking
◈ Acoustic modem
◈ RF Modem
◈ Iridium modem (RUDICS)
◈ Self-Compensating Magnetometer (SCM)
◈ Synthetic Aperture Sonar (SAS)
◈ Gliders are equipped with a "friend or foe" system to ensure the safety and to prevent accidental or intentional damage (including attempted capture).
Plan Accuracy of Recognition98-99%
Gliders will gather vast volumes of information. To analyze and interpret these data, DeepWater Syst.© will use AI within Deep Learning Framework "TensorFlow". Our neural network will assess the potential of each set of coordinates and present it in the form of "Deep Score".
Currently, our AI system recognizes 70-80% of underwater objects and 50-60% of mineral resources. To increase these rates, the neural network needs to learn from more datasets.
By launching a fleet of gliders to collect new data and feed it to the system, we could increase the recognition rates to 98-99%.
DeepWater Market.© will use the advantages of blockchain technology, which guarantees integrity and data secure storage about the discovered deep-water resources:
◈ Sonar data
◈ Magnetometer data
◈ High-resolution photo and video coverage of the object or of the sea bed surface for deep-water mining
◈ Depth of the object / deposit location, information about the current (speed), water temperature
◈ Size / surface of the object
◈ Lab results (metal contents in the soil samples)
◈ and etc..
invested in project
Training a Neural Network
Deep-sea deposits of valuable metals are immense. There are three types of deposits, according to the type of formation: polymetallic ferromanganese nodules, ferromanganese crusts, and sulfide deposits.
DeepWater Syst.© could offer a cheaper and more reliable alternative to geological exploration for deep-sea mining companies.
One of the all-time-favorite success stories from the treasure hunting business is the story of the Atocha treasure recovered by Mel Fisher in 1985. After a long and systematic search, Fisher’s company discovered the wreck of the Spanish galleon and recovered over 200 golden and 1100 silver ingots, as well as jewelry and emeralds of exceptional clarity. The worth of the Atocha’s precious cargo has been valued at 450 million USD and Fisher received ownership rights for 75% of the total value of the treasure.
The number of shipwrecks is immense and difficult to estimate. UNESCO approximates a total number of 3 million ships from all times resting in the sea and ocean depths. In the Atlantic Ocean only, according to rough calculations, there have been over 100,000 shipwrecks since the beginning of the Great Discovery Era. Only a tiny fraction of these shipwrecks has been located and recovered. The deep waters are hiding treasures worth trillions of dollars, and that estimate does not even take into account the historical relics to be discovered.
2015 Glider Prototype Development
Q1 / 2016 ◈ Testing the Concept
◈ Glider Prototype Launch in Ecuador Closed Waters
Q2 / 2016 ◈ Initial data collection
◈ Neural Network Development
Q3 / 2016 Glider Prototype Launch in Ecuador Inshore Waters
Q4 / 2016 Initial Neural Network training based on the acquired data
Q1 / 2017 Neural Network testing in a Virtual Underwater Simulator (UWSims)
Q2-Q4 / 2017 ◈ Glider prototype launch in offshore
◈ Additional data accumulation for Deep Learning
◈ System debugging
◈ Logistics network optimization
◈ "glider-to-glider" and "glider-to-ship" communication system debugging
Q1 / 2018 "DWT" Token pre-sale/sale
Q1-Q2 / 2018 Distribution of Tokens "DWT"
Q2 / 2018 listing "DWT" on Cryptocurrency Exchanges
Q2-Q4 / 2018◈ Filing paperwork to purchase land and to start the construction of an assembly line
◈ Hiring assembly line personnel
◈ Setting up an international logistics network and signing contracts with the suppliers of parts
◈ Launch of the glider assembly line
◈ Start of the development of the Deepwater Market platform
◈ Hiring marketing and PR personnel
Q1-Q4 / 2019 ◈ Launch of the first exploratory expedition by the fleet of gliders
◈ DeepWater Market.© platform launch and blockchain integration
◈ Start of a large-scale advertising campaign for DeepWater Market.©
Q4 / 2019 Loyalty program execution: start of DWT buy-back
2020 Increasing the number of lots on DeepWater Market.©, start of the recovery of some discovered shipwrecks
. . .
DeepWater Team will sell lots with information through an open online auction
Akin to the English auction, the logic of the process is to have buyers offer increasingly higher bids for the lot until only one bidder, the winner, remains.
Payment for the lots will be accepted in Ethereum and Bitcoin coins.
DeepWater Token (DWT) is an ERC20-compatible token emitted within the blockchain of the Ethereum platform.
DWT is a limited-emission, inflation-resistant token. Special economic support measures developed by the DeepWater team, such as a Buy-Back scheme, token burning, and the loyalty benefits, make the token attractive to holders and resistant to inflation in the long run.
◈ Deepwater team will spend 70% of the allocated budget on token buyback at market prices for further "burning".
◈ The "BuyBack" scheme generates immediate deflation and deficit of the token, which greatly benefits the contributors by increasing the token price over time.
◈ 30% of the allocated budget will be distributed to the wallets of the contributors in Ethereum coins through Smart Contracts. This measure aims to maintain contributors’ interest in the token.
◈ More than 8 years of experience in the development of in-depth training systems
◈ Expert in Deep Learning, Machine Learning, Big Data, and Tensor flow
◈ 10 years of experience in the development and operation of high-load systems and communication channels
◈ Expert in Deep Learning and Underwater Acoustic Communications
◈ Over 15 years of experience in underwater robotics
◈ Expert in dynamic positioning of vessels
◈ Over 5 years of experience in cryptography
◈ Expert in the field of NoSQL databases
◈ Over 20 years of experience in the professional design and construction of manned and unmanned underwater vehicles
◈ Expert in the field of underwater robotics and underwater acoustic communications
◈ 10 years of experience as a python developer
◈ Expert in Deep Learning, Machine Learning, Big Data,
and Tensor flow
◈ Over 10 years of experience in designing and calculating the energy efficiency and communication systems of underwater unmanned vehicles
◈ Expert in underwater robotics and wireless communications
◈ More than 20 years of experience in underwater scanning
◈ Expert in underwater scanners, sonars, and magnetometers
◈ Over 25 years of experience in marine geodesy
◈ Expert in hydrographic surveying
Join us at this early stage of the project to take part in making history.
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