The Shipping Radiated Noise Estimation Tool (SRN) is an advanced platform for real-time monitoring, analysis, and management of underwater noise from maritime vessels. It addresses challenges like noise pollution’s impact on marine ecosystems and supports regulatory compliance and operational efficiency. Leveraging AI-enabled technologies, the SRN provides precise measurements and visualizations of noise propagation for informed decision-making.
Visualize Insights: Mapping Noise Trends for Smarter Maritime Decisions
Seamlessly monitor radiated noise from individual ships or fleets in real time, with instant visualization through dynamic maps and heatmaps.
Choose between scalable cloud-based access for global monitoring or on-premises deployment tailored to your operational needs.
Integrated with AIS systems for precise ship tracking, supporting automatic or manual AIS data ingestion through MarineTraffic or other APIs.
Utilizes advanced neural networks for real-time estimation of sound transmission loss.
Provides detailed reports with visual graphs and noise heatmaps, enabling stakeholders to analyze trends across specific periods and geographical zones.
Explore Critical Environmental Factors Affecting Shrimp And Seaweed Growth. Dive Into Temperature, Stocking Density, Water Quality, And More For Each Species.
Our Tool Has A Digital Presence, Making It A Platform For Advanced Research. It Lays The Foundation For Future Machine Learning Models And Predictive Applications.
Discover Relevant Articles Shedding Light on Our Solutions
The note examines shipping noise estimation via AIS data, its applications, and the need for further improvements.
Ship noise management is key for marine life, stealth, and regulations through modeling and AI/ML.
The project maps sound variations in the Indian Ocean to improve Underwater Domain Awareness.