FOR-5G
5G-powered
Forest Firefighting
and Surveillance System
Revolutionizing Forest Firefighting with 5G-Powered Drones
The FOR-5G project, powered by cutting-edge 5G technology, is transforming Public Protection and Disaster Relief (PPDR) operations by enabling seamless real-time communication and advanced situational awareness.
The FOR-5G project is an innovative collaboration designed to dramatically improve how emergency services manage forest fires. The solution combines Rinisoft’s advanced drones with Correlation Systems’ IoT sensors. This powerful integration is essential for delivering real-time data transfer, improved drone control, and sophisticated AI-powered capabilities.
The 5G Advantage: Connectivity and Control
The core of this transformation lies in harnessing the capabilities of 5G networks. By utilizing 5G network slicing, the project achieves a mission-critical level of performance:
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Enhanced Data Reliability;
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Reduced Latency;
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Increased Transfer Speeds for sensor and video data.
These advancements are critical for overcoming the challenges of remote operations.
SMAUG AI: High-accuracy AI and drone technology for immediate, reliable wildfire and smoke detection
SMAUG AI developed by Rinisoft is a highly accurate hardware-software solution for wildfire detection.
It uses AI-powered drones (UAS) equipped with visible and infrared sensors to provide real-time location and alarm alerts.
Field tests have demonstrated exceptional reliability and speed, achieving high target Key Performance Indicators (KPIs) for detection:
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Fire Detection Accuracy: 95% detection accuracy, with a time to detection of just 2 seconds post-ignition.
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Smoke Detection Accuracy: 98% detection accuracy , with a detection latency of 3 seconds from the initial smoke appearance.
Related
Materials
01.
Project Reports
The documents contain the final reports and results for the OC#2 project entitled [5G-powered Forest Firefighting and Surveillance System] (FOR-5G).
Deliverable 1
Deliverable 2
02.
FOR5G Fire Detection Dataset
RiniSoft presents a synthetic image dataset of 51 photorealistic wildfire images. Using the FLAME Diffuser mask-guided diffusion framework, the dataset digitally inserts precisely controlled flame regions into high-resolution drone footage to train and improve computer vision models for fire detection and segmentation.
Grant agreement No. 101096452
Call: HORIZON-JU-SNS-2022
Imagine-B5G is a SNS Project that aims to provide an advanced and accessible end-to-end (E2E) 5G platform for large-scale trials and pilots in Europe.