BeTWIN

Integrated Dynamic Monitoring System for the Port Area

The project aims to develop a monitoring system within the port area and the surrounding urban environment capable of collecting, processing, and distributing in real time data originating from heterogeneous field sensors.

Main Project Development Objectives:

• Real-time monitoring of anomalous events.
• Multidisciplinary integration of data from multiple sources and sensor interoperability.
• Efficient data processing (AI) and decision support for urban management.
• Scalability and flexibility.
• 3D surveying for structural monitoring of access points.

CognitivePark

Transformation of the park into an interactive and sustainable space, where the integration of smart and green technologies, natural sensors, and artificial intelligence enhances visitors' experience and contributes to the well-being of the urban environment.

• Botanical components capable of acting as biofilters and natural sensors.
• Environmental health monitoring.
• Geofencing of vulnerable users in areas of interest.
• Flood detection and monitoring.

Key Features:

• AI-based data analysis.
• Citizen safety.
• Green approach: biofilters and botanical components.
• Edge Computing.
• Smart City integration.
• Real-time observation through the Digital Twin.

U-Space Link

Edge Data Management Platform for Critical Environments within U-Space

The collection and transmission of U-Space Link data is based on four steps:

1. Acquisition: Environmental data generated by IoT sensors in remote areas are collected by a Gateway through a local LoRaWAN network.
2. Deployment: A drone (UAV) approaches the monitored area and deploys the Base Payload at an intermediate distance for long-range communications.
3. Reception: Once it reaches the Gateway, the UAV's Mobile Payload receives the data.
4. Transmission: The Mobile Payload transmits the information to the analysis station through the Base Payload.

Key Features:

• Operation in hazardous environments for users.
• Compatible with UAVs or UGVs, drone or ground robot.
• Suitable for areas without cellular coverage.
• Scalability and flexibility.
• Drone agnostic.

INVICTUS

Multi-device ecosystem for monitoring and rehabilitation of post-stroke patients.

The ecosystem is built around three devices:

• Sentry, an inertial sensor-based system for the analysis of upper limb and distal limb movement.
• Pinch, for the analysis of hand grasp precision and strength.
• WeTAG, for monitoring the amount of movement performed by a person in hospital or home environments.

INVICTUS ecosystem architecture:

The collected data are processed and transmitted to the cloud through a Smart Gateway.

The attending physician can remotely monitor rehabilitation progress through a Web App Dashboard.

Key Features:

• Multi-device data integration.
• Ecological monitoring.
• Patient safety.
• Patient progress reporting.
• Easy integration into clinical practice.
• AI-on-Edge based analysis.

Facilitates the therapeutic and rehabilitation pathway through continuous monitoring in real-life environments.