[Washington, DC – April 2, 2026] –

Built on IREX's ethical AI platform, the new module processes visual data in just 75–105 milliseconds – or about 0.1 second -, identifying danger almost instantly. This advancement – combined with improved model accuracy and resilience in poor lighting or weather – empowers early intervention by first responders, reducing the risk of catastrophic loss. 

The updated model analyzes how fire and smoke evolve over time, distinguishing genuine hazards from harmless visuals like fog, headlights, or glare. This dramatically cuts down false alarms, allowing safety teams to focus on incidents that truly require attention.

To boost accuracy, IREX changed how the system “sees” fire and smoke. Instead of traditional bounding boxes around objects, the updated module uses segmentation, applying a color mask over the exact areas where fire or smoke appears: green for fire and red for smoke, thus better reflecting their irregular shapes. This approach improves the system's ability to localize hazards precisely within the scene.

The updated FireTrack delivers early warning that is significantly faster than traditional optical or heat-based detectors by analyzing live video feeds for the visual signatures of smoke and fire in real time. 

“,” said Serge Smirnoff, Head of PR at IREX. “”

By leveraging the surveillance infrastructure already in place, the new FireTrack model offers a cost-effective path to comprehensive fire safety across both built environments and natural landscapes. 

“” said Calvin Yadav, CEO of IREX. “”