Operative objectives
- Development of a watertight and modular mechanical structure capable of safely reaching marine depths, along with a pressure-resistant viewport enabling visibility at great depths.
- Development of computer vision and sensor fusion algorithms that leverage an optical camera to detect, classify, and locate marine litter.
- Implementation of an edge computer that uses AI to process data from the onboard camera and connected sensors, along with a wired communication interface for connection to the support vehicle.
- Feasibility study for the development of computer vision algorithms capable of classifying anomalies in aquatic flora using data from a multispectral camera.
Strategic objectives
- Development of an innovative product aimed at increasing the company’s competitiveness in the market.
- Promotion and strengthening of collaboration between the various divisions within Cubit.
- Promotion and enhancement of the role of young professionals in highly innovative and research-driven projects.
- Valorization of research outcomes to contribute to digital transformation and the spread of environmentally sustainable technologies.
Environmental objectives
- Contribution to raising awareness within the local community about the issue of marine litter and the importance of targeted actions to reduce it.
- Support for the scientific community by making data available on the impacts of pollution on marine life.
- Participation in the protection and monitoring of ecosystems at risk due to plastic pollution.
- Contribution to reducing waste cleanup costs by enabling more efficient and cost-effective identification and localization of marine debris for companies and government bodies responsible for seabed cleaning.