The Digital ATTACK™ Panel delivers augmented reality fire training with digital flames, realistic smoke, and live fire sounds for each class of fire that react instantly to hose line or extinguisher application. Instructors can run safe, repeatable evolutions in environments where live fire isn’t possible, while trainees gain practical hands-on experience using either a digital nozzle or a fully charged 70 mm hose line.
Capable of replicating Class A, B, C, and E fires, the panel offers 10 adjustable difficulty levels — from beginner drills to advanced challenges that test even seasoned crews. Integrated thermal sensors detect water application, triggering flames, smoke, and fire growth to respond dynamically. Smoke volumes scale with fire size and burn time, while fuel source isolation for C & E fires adds another layer of realism. Fires can also spread to connected panels when paired with the HyperFire (up to 9 panels), creating complex scenarios in a fully immersive augmented reality training environment.
With no flames, emissions, or clean-up required, the ATTACK™ Panel provides scalable, reliable training for both new recruits and veteran firefighters.
Key benefits
Safe, repeatable training where live fire isn’t possible,
Live fire sounds for each class of fire,
Fuel source isolation for C & E Fires,
Scalable scenarios for recruits through to veteran crews,
Fast setup and fully portable for on-site or classroom use,
Durable — built to handle hose lines up to 70 mm,
Reduces environmental impact, cleanup and downtime compared with live fuel.
Features
Supports real hose lines up to 70 mm, Digital Task Force Tip, laser extinguishers and standard water extinguishers,
Simulates Class A, B, C and E fires with realistic growth and behaviour,
10 difficulty levels to tune scenario intensity from gentle practice to a serious extinguishing challenge,
Automatic, proportionate smoke output linked to fire size and time since ignition (compatible with SG4000 & SG1000),
Rapid, repeatable evolutions — easily reset and change scenarios for high-throughput training.
