By burning tokens we aim to stimulate NAVI value growth with a two-prong approach. First, every time tokens are used to rent or book a vessel, those tokens will be immediately burned and taken off the market. This model assumes a gradual decrease of available tokens, and an organic increase of demand and price. Second, at least 25% of all advertising profits will be used to buyout tokens available on cryptocurrency exchanges. We then will burn at least 50% of the tokens, removing them from the market, and further stimulating NAVI value growth.
We implemented a separate app, modest in its resource demands, specifically for Epson AR glasses. The app works in parallel with the main BoatPilot application, receiving data on the planned route, waypoints, and other key information. The Epson headset application is responsible for visualizing and superimposing all the necessary navigational information on the surface. As such, after setting the necessary objectives on the navigator, skippers can concentrate completely on yacht control, without being distracted by the navigator screen and dash. We plan to significantly expand the list of supported AR headset manufacturers in 2018.
Most data suppliers (for example, OSM) are bloated and lack optimal storage structures. Our algorithm will find and eliminate such redundancy, which in turn will cut the size of the database to a fifth. A key feature of our algorithm is its parallelization. It allows you to use MapReduce algorithms on a computing cluster. The software algorithm is
implemented via Python using ZeroMQ to distribute tasks throughout computing nodes. The common and open ESRI Shapefile is used as an output format, allowing
the results to be used not only on mobile devices, but in the vast majority of GIS packages.
Kind regards,
BoatPilot team