Fire and Smoke Detection - Iveda

Cities are vulnerable to small but dangerous outdoor fires initiated by discarded cigarettes, waste-burning, backyard BBQs, or unauthorized burn piles. Conventional fire detection systems focus on buildings and interiors, leaving urban exteriors largely unmonitored until a fire escalates. The result: delayed discovery, greater damage, and increased risk to life and infrastructure.

IvedaAI addresses this by embedding advanced smoke detection directly into existing urban camera infrastructure. Using AI video models, the system scans live CCTV feeds and identifies smoke signatures at long distances—even in cluttered, obstructed urban environments. Once smoke is detected, alerts are immediately dispatched to emergency responders with geospatial context.

Beyond simple detection, the platform distinguishes between benign smoky sources (e.g. cooking, steam) and true hazards that warrant intervention. In higher-risk scenarios, integrated facial recognition can assist in identifying individuals responsible for fire ignition—supporting both rapid response and subsequent investigations.

Cities deploying IvedaAI gain real-time, scalable fire surveillance capability without costly new hardware. The system repurposes existing cameras to create a smart urban fire detection network, amplifying public safety while minimizing infrastructure investment.