Pipeline inspection class AUV (Autonomous Underwater Vehicle) with unique Features that replacing the conventional inspection by ROV​.

XPlorer-by-Rovula.pdf

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The XPLORER navigation system is using an in-house algorithm to auto track pipelines using data from the multibeam profiler and the imaging sonar to determine the pipe position and direction.

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Auto Tracking of pipelines

The XPLORER is equipped with all the necessary sensors required for pipeline inspection including image and video recording, free-span detection, electric field gradient measurement and CP stab.

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Comprehensive data collection

The operation of the XPLORER is achieved thanks to wireless communication via acoustic waves connecting to a web-application for system monitoring and control purposes.

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Mission planner and Survey Screen

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Pipeline inspection class AUV (Autonomous Underwater Vehicle) with unique Features that replacing the conventional inspection by ROV​

XPLORER

Autonomous Surface Vehicle​ The unmanned vehicle with operate through satellite data for missions.

XGateway-by-Rovula.pdf

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The operator can design waypoints or travel routes in a friendly control platform.

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navigation and autonomous driving

The XGateway is equipped with a variety of modules and AI/ML to create a 360-object detection, that is used to be an object avoidance system.

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An object avoidance system

The XGateway is equipped with a mechanical arm capable of deploying sensors and equipment, for example, acoustic sensors etc.

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A mechanical arm for sensor installation

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The XGateway, a 10-meter vessel featuring DC motor driving technology. It is equipped with a range of sensors and smart systems specifically tailored for autonomous operation.

XGATEWAY

Cloud-based data management system platform specifically tailored for subsea operation.

XSpector-by-Rovula.pdf

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In-house Machine learning model was developed to analyze videos and detect anomalies on subsea pipelines (Anodes, Debris, etc.) to speed up the inspection process and improve its accuracy.

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Inspection of assets assisted by AI

A single platform allows for centralized management of various processes, systems or tools seamlessly and maintenance and updates are more efficient than managing multiple software solutions.

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A Single platform

Summary data from the whole project. Client be able to filter or search specific data from each components or platform and can be use to compare data from the past.

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Dashboard

A web-based platform can be accessed from anywhere allowing users to access the data from various devices such as Desktop, Laptop or Tablet with browser.

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Web-based application

Multiple-channel video capture. User be able to set overly on video such as Logo, sensor etc. 

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Overlay

Inspector can be logged data from survey sensor when inspection on Pipeline mode and can edit and import processed data from survey.

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Event logging

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Xspector is a cloud-based data management system platform specifically tailored for subsea operation
and highly customizable as per the requirements of any major asset owner.

XSPECTOR

The Aquatic Monitoring System utilizes AI to detect and identify aquatic species, delivering data through a web application

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Automated detection and classification of aquatic organisms and fish species using machine learning.

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Time-date stamp associated with detected objects.

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Estimated count for each detected classification/species.

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Cloud-based application providing accessibility to the results

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XBluesea is and Aquatic Monitoring System which consists of an underwater camera which is installed beneath water for recording video about aquatics life. Then, the video will be transferred to machine learning model for detection and classification aquatics classification and Fish species. The result from the machine learning will show on cloud as a dashboard.

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