About
The Webcam Coastal Observation System (WebCOOS) project is being implemented by SECOORA and its partners with funding from NOAA. The team is developing a webcam coastal observing network for quantitative scientific analysis, public safety, and resource management for coastal municipalities, scientists, and local communities. To accomplish this, standardized data processing and management methodology will be established to provide stakeholders with actionable information from webcam videos. SECOORA is working to transfer this methodology nationwide across all 11 IOOS regional associations.
For additional details about installing a webcam in your local community, view our flyer here.
Resources
- Report from Web Cameras for Environmental Monitoring Workshop – November 14-15, 2018
- Scientific Paper: Automated Rip Current Detection with Region based Convolutional Neural Networks
- WebCOOS organization on Github, including repos for:
- py-webcoos-client, a Python wrapper for the WebCOOS API.
- rip_current_detect, an API used by WebCOOS for rip current detection.
- seal_detection, an API used by WebCOOS for seal detection.
- webcoos_object_detection, an API used by WebCOOS for general object detection.
University of South Carolina
University of North Carolina Wilmington
University of California Santa Cruz
Axiom Data Science
Surfline
NOAA (CO-OPS)
U.S. Geological Survey
U.S. Army Corps of EngineersContact
Contact the team for more information: webcoos@secoora.org
Project Funding
This project is funded by the NOAA U.S. Integrated Ocean Observing System’s (IOOS®) Ocean Technology Transition grant.