Stanford researchers employed drones in Santa Elena Bay, Costa Rica, to study Pacific Nurse Sharks, aiming to enhance conservation efforts. By integrating aerial photography with artificial intelligence, they developed a platform capable of detecting and tracking sharks through advanced recognition technologies. The initiative showcases how drone-supported research and machine learning can provide critical insights into marine habitats, addressing conservation needs more efficiently. The project builds on a foundational understanding of both drone hardware and computer science to refine wildlife monitoring techniques.
The model's incorporation of machine learning and A.I. is generalizable and infinitely specializable, enhancing the potential for shark conservation efforts.
Our advancing-recognition technology enables us to automatically detect and track sharks using aerial imagery, enhancing our ability to monitor marine life.
Collection
[
|
...
]