This project develops an AI-based system for safe autonomous drone takeoff and landing using computer vision. The system identifies safe landing zones—either marked with visual codes or detected dynamically in unmarked environments, such as during emergencies. Through advanced object detection and scene segmentation, the AI analyzes the surroundings to avoid obstacles like people, vehicles, trees, or power lines, ensuring both operational safety and hardware integrity.
The final integrated software will allow real-time decision-making directly on the drone or via a connected server, combining vision-based perception with intelligent risk assessment.

This private project focused on detecting events in a padel court.

The Rodes Digital Twin project is designed as a tool for monitoring and simulating scenarios in the technology park, enabling data-driven management, energy efficiency, and improved user comfort and safety. The project constitutes the technical and administrative proposal for the consulting services contract aimed at analyzing the starting point, defining use cases, and drafting the technical specifications document for the Rodes Digital Twin.

This project aims to digitize the construction process from its earliest stages to its final stages. We have developed 3D reconstruction techniques for VR that allow the progress of the work to be verified.