Ambitious-project

Surveillance and monitoring of controlled areas

This use case focuses on the application of drones and advanced technology for surveillance and object detection in controlled areas such as marinas and public parks. By combining edge computing, image recognition and drone data, the system enables infrastructure monitoring. The goal is to create a framework that enables real-time transmission of video and photo streams from drones to a cloud-based system, using 5G technology for various applications. The objectives include remote monitoring, process automation and solving connectivity and security issues. To achieve these goals, the proposed solutions include image annotation for accurate object recognition and real-time video streaming to a cloud infrastructure by leveraging 5G and edge computing techniques.

Smart water management

This use case focuses on implementing smart water management tools in utility and distribution networks. The solution involves the installation of IoT devices such as smart metres and actuators that interact with the water infrastructure to collect data and control water flow. Edge and cloud computing services are used for tasks such as data collection, persistence, AI-based analytics, device control and visualisations. The goal is to optimise water network management, improve maintenance capabilities and reduce operational costs through real-time monitoring, predictive maintenance and data-driven insights. The use of 5G and edge computing enables efficient data processing, event detection and response, regardless of network availability and delays.

Precision agriculture

This use case focuses on implementing smart water management tools in utility and distribution networks. The solution involves the installation of IoT devices such as smart metres and actuators that interact with the water infrastructure to collect data and control water flow. Edge and cloud computing services are used for tasks such as data collection, persistence, AI-based analytics, device control and visualisations. The goal is to optimise water network management, improve maintenance capabilities and reduce operational costs through real-time monitoring, predictive maintenance and data-driven insights. The use of 5G and edge computing enables efficient data processing, event detection and response, regardless of network availability and delays.

Intelligent living-as-a-service

This use case focuses on improving care services for vulnerable groups, especially the elderly, through the use of innovative digital technologies. The aim is to improve living conditions and evaluate primary health care. IoT technologies are used to assess environmental factors such as temperature and humidity and monitor health status in real time with mobile devices that record physiological parameters. The solution also includes features such as detecting anomalies in ECG readings, providing visual access to living spaces and ensuring data security and privacy. Edge computing is used to enable event detection and response regardless of network availability and delays, which is particularly important in healthcare scenarios. The integration of 5G and edge computing will significantly improve application performance and real-time data processing capabilities.

Innovative digital technologies for real-time monitoring

This use case aims to develop innovative digital technologies for real-time monitoring to achieve the goals of safety, efficiency and sustainability. The solution focuses on integrating high-bandwidth data streams, such as cameras and sensors, with 3D mapping and object detection by drones. Using IoT and edge computing, the system enables mass monitoring of different locations, remote sensing of parameters and real-time data processing. Key objectives include increasing safety, improving efficiency and meeting the European Commission's strategic framework for health and safety at work. The project aims to fill technological gaps in the areas of autonomy, data integration and real-time 3D mapping to create a holistic solution for various applications.

Telemedicine Platform for Continuous Remote Monitoring and Patient Support

The use case focuses on the implementation of a telemedicine platform for continuous remote monitoring and support of patients with chronic respiratory diseases and cancer. The COVID-19 pandemic has highlighted the importance of supporting patients at home, especially those who have difficulty reaching a hospital. The platform integrates various technologies, including doctor-patient communication, voice assistance, telemonitoring systems and wearable devices to record physiological parameters and patient-reported outcomes. The aim is to improve patients' quality of life during long-term treatment. The ultimate goal is to provide personalised training, support, coaching and engagement services to improve patients' overall well-being.

Pediatric Cardiac Arrest Support Management

The use case addresses the challenges associated with pediatric cardiac arrest (PCA), which has a high mortality rate. Despite the Pediatric Advanced Life Support (PALS) course, there are still deviations from the guidelines for PCA management. PediAppRREST, an interactive multimodal tablet app developed by a research team from the University of Padova and RE:Lab, aims to improve PCA management using an iterative design approach. A pilot study with 48 pediatric residents has demonstrated the usability and effectiveness of the app in simulation scenarios. The objectives of the project include improving the design of the app, evaluating its effectiveness, measuring the retention of training information and standardising its use for training institutions and healthcare professionals. The ultimate goal is to publish the app and make it widely available to improve PCA outcomes.

USE CASES