Artificial intelligence, data science & image recognition becoming a useful tool for anti-fouling & coating assessments

The assessment of the condition of marine and offshore coatings continues to be one of the major tasks addressed during a class survey and one that has benefited from the increased use of technology and remote inspection technologies (RITs) like underwater ROV drones and aerial drones.

The development of more efficient RITs – including unmanned and remotely operated vehicles – has enabled a safer and more efficient visual inspection of the condition of anti-fouling , corrosion and protective coatings in hard to access and dangerous locations.

Visual inspections by professionally trained and certified divers and marine surveyors continue to make up the majority of maritime maintenance surveys, but the growing use of ROVs and RITs provides an opportunity to increase human efficiency as well as artificial intelligent computing scalability.

The accuracy of these underwater assessments is dependent upon the diver and marine inspector’s experience and knowledge as well as their familiarity with the different types of structures being inspected.

While class inspections demand a high level of experience from divers and surveyors, these factors may cause inconsistency during anti-fouling and coating inspections.

To overcome the challenges in conventional inspection of coating condition and advance the use of new technology, Pagarba Solutions has been an AI for the maritime industry leader applying Artificial Intelligence (AI) , Machine Learning (ML) and Computer Vision in an underwater inspection drone and video image recognition solution designed to aid marine surveyors and inspectors in reviewing video and image data and making informed anti-fouling and coating condition assessments.

Pagarba Solutions ookeani-luure underwater inspection drone platform , powered by AI, data science and image recognition automatically analyzes input video and image data, identifies anti-fouling , rust corrosion and coating failure areas and grades and predicts the coating condition of the structure.

Fleet operators , boat insurance Adjustors, marina owners and Professional marine divers and Inspectors can use these notifications and results as an easy to quantify reference dashboard and guide.

The predictions and assessment range from corrosion anomalies, anti-fouling issues, hull risks, and coating recommendations and guidance, to improve the consistency of anti-fouling and coating assessments.

The Ookeani-luure platform can also be utilized during screening inspection processes, where it can be used as a real-time and on-demand simulation filter to identify and predict certain critical areas for further review and analysis.

The Artificial intelligence and computer vision algorithm/models utilize videos and images taken from the different types of maritime and offshore assets you own , Various cameras and underwater inspection drone footage and can process with various kinds of structural components, coating failures, anti-fouling issues, cracks , lighting conditions and rust corrosion.

The Ookeani-luure platform uses AI and computer vision technology for the marine and offshore industry as a means of supporting professional divers and marine inspectors with a quick and reliable means to aid in their decision-making processes during anti-fouling and coating assessment tasks as well as identifying cracks, fractures or large structural deformations.

It’s a cutting edge maritime changing solution , especially when using remote inspection technologies like an underwater inspection drone (ROV).