AXOLOTL Project

AXOLOTL Project is dedicated to achieving excellence in oceanic surveillance and conservation through the application of deep learning technologies. Focused on enhancing marine conservation efforts and maritime surveillance, AXOLOTL Project leverages advanced AI tools to analyze in-situ samples and remotely sensed data, contributing to improved data quality and innovative methodologies.

Operating at the intersection of Artificial Intelligence and critical ecosystems such as shipping, maritime, and space, AXOLOTL Project addresses the strategic priorities of Cyprus and Europe to improve Research and Innovation performance. The project develops robust deep learning models from state-of-the-art computer vision methods and validates its solutions in real-world contexts, including biodiversity assessment and maritime surveillance.

AXOLOTL Project is committed to advancing the interdisciplinary fields of deep learning-enhanced in-situ biodiversity assessment and remote sensing for maritime surveillance. This commitment involves capacity-building, knowledge transfer, networking, and outreach activities at regional and international levels, fostering sustainable linkages between partners and reinforcing administrative, dissemination, and entrepreneurial competencies. The information presented here will be completed soon with the support of the company’s management. We invite the manager of AXOLOTL Project to create a customized and exclusive company showcase and product listing on our platform.