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Smart Ship

Smart Ship enables actionable intelligence through live situational awareness & predictive diagnostics. The platform enables complete range of remote technical & operational management through live machinery data, video feeds, images together with historical & process data. 

Benefits of Smart Ship

  • Smart ship technology provide higher efficiency with cost-effective.

  • Smart ship better connect people who specialize in ships and land resources

Sensors

Sensor technologies are developing rapidly to meet the ever-growing demand for data and information that will enable consumer-driven needs. For example,The Internet of Things, which allows real-time monitoring and control of systems and processes, from home through to medical and industrial applications.

Sensors Key Features

  • Through a network connected to a remote device by a wireless sensor, enables data collection and processing

  • Remote sensor net with real-time communication and data transmission build your own work to gather the data

  • Monitor, manage and maintain the status of equipment used on vessels controls and alerts the operator on maintenance purposes.

Autonomous System

Autonomous systems are a rapidly expanding and diversifying technology.The technology has attracted considerable interest from transport applications, particularly in air and automotive transport. The industry is maturing, and cost, robustness, endurance and regulatory challenges are being addressed by a number of initiatives at an international level.

Benefits of Autonomous System

  • Persistence in areas such as carbon capture and habitat monitoring use available resources

  • For the global marine energy market, autonomous systems improve ability to use to collect and 
    intervene in data for reducing risk and costs while creating a new operating environment.

Big Data Analytics

The management and analysis of big data will become increasingly important, and we expect it to have a major impact on the marine world. It will be driven forward by the demand for information and the need to handle the variety of new data sources that are likely to appear. At the same time, big data will be subject to other factors that will threaten its adoption, such as the lack of the necessary data analysis skills required to exploit big data.

Big data analytics

  • A tremendous amount of shipping-related data is generated in various formats.

  • Through big data analysis, it is possible to identify correlations in the vast amount of data related to the shipping industry, and new algorithms generated from this are automatically applied to the data sets: dynamic learning.

  • The IT infrastructure is upgraded to search, store, and process data in real-time, and the stored data can be saved either onboard ships or on land.

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