OceanLens is a modular, web‑based platform that aggregates real‑time and historical geospatial data from diverse oceanographic vehicles into an interactive dashboard. It lets users overlay multiple datasets, customize mobile‑optimized charts, and run Python/conda scripts on scheduled cron jobs, providing a unified view of fleet status and environmental context. The solution reduces operational overhead and improves decision‑making for researchers and marine industry operators managing multi‑manufacturer robotic fleets.
Funding
Funding not disclosed
Founders
Product
Problem
Operators of oceanographic vehicles often lack a unified, real-time view of their fleet’s location, sensor data, and mission status, especially when using equipment from multiple manufacturers. This fragmented situational awareness can lead to inefficient mission planning, higher operational overhead, and missed opportunities to respond to dynamic ocean conditions.
Solution
OceanLens provides a modular, web‑based platform that aggregates real‑time and historical geospatial data from diverse ocean robotics into an interactive dashboard. Users can overlay multiple datasets—such as Argo floats, Spotter buoys, and vehicle telemetry—on customizable maps, enabling rapid assessment of fleet status and environmental context. The system supports custom Python/conda scripts for data fetching and preprocessing, with configurable cron schedules to automate updates. Visualizations include interactive charts that can be categorized and optimized for mobile devices, facilitating on‑the‑go analysis. By offering a single, user‑friendly interface that integrates heterogeneous data sources, OceanLens reduces operational overhead and improves decision‑making for ocean missions.
Target Audience
Primary users are academic researchers, marine industry operators (e.g., offshore wind and oil project monitoring), and organizations deploying heterogeneous ocean robotic fleets across multiple manufacturers.
Features
- Real‑time map updates with support for multiple geospatial overlays
- Historical data view for trend analysis and mission review
- Customizable, interactive charts that are mobile‑optimized
- Scripting environment supporting Python and conda for data ingestion and preprocessing
- Cron‑based scheduling to automate script execution and data refresh
- Integration capability for various platforms (e.g., Seagliders, SeaExplorer, Waveglider, Sailbuoy)
- Intuitive UI designed for user‑centered interaction and low learning curve