In order to best conserve and manage marine biodiversity, scientists need accurate information on what inhabits the seabed. One way to collect such data is with autonomous underwater vehicles (AUV) mounted with cameras.
However, the problems lie with processing the data collected. Now, new research led by the University of Plymouth finds artificial intelligence (AI) could help with the task.
Marine scientists and robotics experts tested the effectiveness of a computer vision (CV) system in identifying sea creatures and found it be around 80% accurate. The system could even be 93% accurate if enough data is used to train the algorithm. READ MORE ON: INTERESTING ENGINEERING