Artificial Intelligence makes it possible to evaluate aquatic ecosystems using actual measurements without a person in the loop.
FREMONT, CA: AI computer vision technology automated with picture processing applications helps to detect, categorize, and count everything from livestock to underwater vehicle parts. It is beginning to penetrate the maritime industry for autonomously detecting ships and whales. Computer vision is now also keeping watch underwater thanks to a collaboration between AI and tech startup companies. It helps to develop integrated sensor, video, or sonar monitoring systems for marine life, especially for renewable energy projects. AI integration helps to bring solutions to scale and analyze a vast amount of underwater video footage by developing better technologies for putting devices underwater for long-term aids in continuous monitoring.
When cameras, sonars, or other sensors get submerged for extended periods, the vast volume of data collected can hinder scientific progress if real-time data processing is not implemented. The AI machine learning techniques enable ongoing data processing, preventing the accumulation of data mortgage. It decreases storage needs within the unit and communication needs if they're in a region with limited bandwidth. Accelerating the AI journey by automating a portion of the data life cycle is essential. It comprises the collecting, processing, and labeling of data. Monitoring marine life near renewable energy equipment, such as tidal turbines and wave energy converters, depending on the preferences, is essential.
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Machine learning labels instruct the AI model what to prioritize and what specific features to look for, then automatically train machine learning models. Models that could continue to learn and retrain as marine habitats change so rapidly. At each site where a camera or device gets deployed, the machine learning model must be retrained particularly for that site, followed by continuous learning to ensure that it remains optimum. Various companies aim to provide a comprehensive solution for long-term underwater surveillance. It comprises physical components such as cameras, lights, integration hubs, and data collection, processing, and management software.
The available technology in the maritime industry must be cost-effective and feasible and involve optical cameras but also employ imaging sonar, which may provide ranges of up to one hundred meters. Artificial intelligence technology is excellent for long-term surveillance. Thanks to machine learning, aquatic ecosystems may be assessed using actual measurements without needing a human in the loop. The edge device pushes a fraction of its data to the cloud, where it can be utilized to train and update the model.
