SafeXCity

The SafeXCity proposal aims to enhance the safety of vulnerable road users, such as pedestrians and cyclists, in urban areas by utilizing timely applications and services. This is achieved by utilizing Connected Vehicles, Vehicle-to-Everything communication, and mobility sensors, as well as Mixed Reality interfaces, to identify potential hazards in real-time and immediately alert Vulnerable Road Users to ensure their safety.

WOLF

WOLF solution leverages Unmanned Aerial Vehicle (UAV) technology, specifically drones equipped with AI-powered video analytics, integrated within FIDAL’s advanced 5G infrastructure to provide real-time detection and tracking of humans and wildlife during hazardous wildfire situations. WOLF offers an AI-enabled PPDR (Public Protection and Disaster Relief) system that incorporates cutting-edge deep learning computer vision models to detect civilians and animals from real-time drone and camera footage, supporting first responders during rescue missions.

DARK-5G

DARK-5G is a portable 5G network solution designed to restore communication in underground disaster scenarios, such as subways and tunnels, where traditional wireless systems often fail. It features a 5G network-in-a-box based on Open5GS and USRP, leaky cable technology for deep tunnel coverage, WiFi-based IoT sensors for locating trapped individuals, and a control center for monitoring and coordination. By enabling connectivity in harsh underground environments, DARK-5G supports more effective emergency response and coordination.

5G4ZDM

The 5G4ZDM project aims to improve defect detection in EV battery manufacturing by introducing an innovative network-based computer vision solution powered by 5G technology. Through FIDAL’s 5G infrastructure, the solution is expected to deliver reliable, low-latency communication and high data throughput, essential for real-time inspection in time-sensitive manufacturing processes.

HoloFID

HoloFID is designed to enhance FIDAL through three key contributions. First, it introduces a new 6G testbed developed by i2CAT, integrated with FIDAL’s Telenor testbed under the SNS 6G-XR and SUNRISE-6G projects. Second, it deploys and showcases a cutting-edge, real-time, multi-user XR holoportation use case, combining i2CAT’s HoloMIT platform with Brainstorm’s InfinitySet to enable immersive cultural and musical experiences. Third, HoloFID conducts large-scale trials across testbeds to evaluate performance, resource usage, and user experience, generating valuable data for further research and development.

ReDrone5G

The ReDrone5G project aims to develop and implement an advanced system for real-time remote control of drones using 5G connectivity. By leveraging the ultra-low latency and high-bandwidth capabilities of 5G networks, we aim to transmit high-quality, low-latency video streams from drones to a central control station. This enables pilots to operate drones remotely based on live video feeds, effectively eliminating the need for them to be physically present near the drone's location and enhancing operational flexibility. 

5G-SHIELD

5G-SHIELD is a testbed designed to enhance safety in Industry 4.0 settings by creating "presence awareness". It uses a private 5G mmWave network, combined with camera data and edge AI, for ultra-precise, real-time tracking of workers and Automated Guided Vehicles (AGVs). Workers wearing AR headsets receive instant visual alerts and see dynamic safety zones, preventing accidents. The goal is to improve safety and efficiency in automated industrial environments.

5G-RESCUE 

5G‑RESCUE deploys a low‑cost UGV built on commodity hardware, integrating far‑edge processing and distributed orchestration within the FIDAL ecosystem for rapid, mission‑critical emergency response. Field trials across the Egaleo Grove and Patras5G/Nova platform validate its modular Network Apps for UGV control, sensor data acquisition, and AI‑driven event detection, optimizing latency‑critical tasks at the device‑edge while centralizing other functions to boost scalability for municipal first responders and to promote a wider adoption of UGVs by smaller emergency teams.

INDIGO

Industry Digital Twin Integration and Optimization for Modular Industry 4.0 within the FIDAL Framework (More infomation to come)