REAL TIME RISK ANALYSIS ALGORITHM FOR UNMANNED UNDERWATER AND SURFACE VEHICLES

There has been tremendous development in IT industry due to sudden shift of Digitalization
During 2010 there has been evolvement of IT discussing various strategies on solving different problems in various sectors but there hasn’t been enough of proven study cases where in these development has made any drastic changes
In the event of vast development of Internet and technologies with the emergence of getting matured AI will definitely change the strategies been worked in various industries but today our focus only on marine unmanned vehicles where the current 2017 marine autonomy , was already in the market for decade of time and was catering different challenges in the ocean and energy market but not for all kind of people , these are called AUV — Autonomous underwater vehicles are simply very expensive but can do the job perfectly , there are many unexpected failures as well and other vehicles which are regularly in the market such as ROV — Remotely Operated Vehicles which are once reached its peak now seems to be all persons game
As the current market in Ocean,Marine and Energy Industry , always the exploration and Navigation are very crucial scopes, there comes the evolvement of vehicles to be used . Happy to know that there has been innovation along with many key players are entering the domain of cost effective AUV which slow down the ROV market as well gives more strategic views for sensor companies as well and not only that there has been dominant amount of USV — Unmanned Surface Vehicles are coming thru to play their in maintaining unmanned on surface to sweep away some share from the small boat systems
In the event of all these developments , we could only see HOW WE TRUST THE UNMANNED in Surface,Underwater,Aerial or Cars , there has been billions of dollars invested on cyber security to understand and we are also working on it but we rather felt other than security there is one more critical reason for unmanned is real time maintenance and reliability of the system when it fly’s at 1000m water depth and sudden failures will lead to any unexpected as the communication bandwidth is very limited so cant transport all information back to surface to understand the issues
But by the time it should not be too late , so NEED REAL TIME RISK ANALYSIS ALGORITHM
Keep Waiting to see more on this algorithm which uses AI in Deep Water Technologies