Abstract

Automation advancement, artificial intelligence and human interaction with AI is need of shipping to upgrade manned or Unmanned Ships (UMS) with crew onboard to upgrade it to autonomous ships with various degrees(refer to MASS for various degrees) to avoid implications of human factors and save human and marine life at sea. However, the implementation of AI technologies may also jeopardize safety if trained and skilled remote control operators are not in the active role above and beyond a backup of autonomous ships. Various research studies and real time scenarios concluded “Human centered artificial intelligence”, which aims to improve AI based systems design by jointly increasing human and machine control to achieve “safe, reliable and trustworthy” systems. Interaction with AI will result in a higher mental workload among seafarers and RCC (Remote Control Center) operators if proper exposure to AI is not provided. Training RCC and seafarers for autonomous ships requires a large amount of historical data and building test prototypes and operating them in controlled areas. This is expensive for any ship owner and flag state to implement it. Hence virtual simulation is the only solution for it. Utilization of SCADA to control the entire engine room machinery which is connected with PLC and a network of surveillance IP cameras. Therefore, the video data are acquired from IP cameras, stored and processed, and then transmitted and remotely controlled via SCADA. SCADA based VMS programs can easily incubate AI and deep ML algorithms. The harmonic utilization of Neural Network Algorithms (NNA) in the software core will lead to unprecedented performance in terms of motion detection speed and other smart analytics as well as system availability. Simulator experiments will help to assess and evaluate the role of human-machine interactions and also benefits training and evaluating seafarers and RCC operators without resource intensive field testing.