XBLUESEA
XBluesea is and Aquatic Monitoring System which consists of an underwater camera which is installed beneath water for recording video about aquatics life. Then, the video will be transferred to machine learning model for detection and classification aquatics classification and Fish species. The result from the machine learning will show on cloud as a dashboard.
XBluesea is an Aquatic Monitoring System designed to provide comprehensive insights into underwater ecosystems. It features an underwater camera that is strategically installed beneath the water's surface to capture high-resolution videos depicting aquatic life. These videos are then transmitted to a machine learning model capable of advanced detection and classification of aquatic organisms and fish species. The machine learning algorithms analyze the footage to identify and categorize various aquatic life forms, including their species and classifications.
The results generated by the machine learning model are seamlessly integrated into a cloud-based dashboard. This dashboard serves as a centralized platform where users can conveniently access and visualize the analyzed data. By leveraging the power of cloud computing, XBluesea enables users to monitor aquatic environments efficiently and gain valuable insights into the dynamics of underwater ecosystems.
Objective
1. Monitor aquatic animals in targeted areas.
2. Monitor iconic species such as whale sharks, turtles, etc., in focused areas to aid in the establishment of conservation programs
3. Validate eDNA study findings to bolster decommissioning efforts in offshore segments
Automated detection and classification of aquatic organisms and fish species using machine learning.
Time-date stamp associated with detected objects.
Estimated count for each detected classification/species.
Cloud-based application providing accessibility to the results
