How does video smoke detection (VISD) work?
Video Image Smoke Detection connects to your cameras over RTSP, and AI analyses each frame for the visual signatures of fire — flame flicker, smoke opacity, colour shift and movement. When it detects a genuine threat it raises an alert, saves video evidence, and can escalate to your fire panel and teams in real time.
How fast is AI fire detection?
Well-tuned camera-based detection typically flags fire or smoke within about 30 seconds of formation — often minutes before a traditional ceiling alarm reacts, because it sees the threat at the scene rather than waiting for smoke to travel to a sensor. Every minute of earlier warning meaningfully reduces damage.
Do I need special cameras for fire detection?
No. It works with most existing IP and CCTV cameras over RTSP/ONVIF, so you usually add no new hardware. For very early smouldering or total-darkness sites an optional thermal or IR camera improves detection, but standard cameras cover most needs.
Video fire detection vs traditional smoke detectors — which is better?
Ceiling detectors wait for smoke particles to physically reach them, which is slow or unreliable in high ceilings, open areas and strong airflow. Video fire detection sees flame and smoke at the scene in real time, and many sites run both as a layered defence.
How does it avoid false alarms?
The AI is trained to tell genuine fire and smoke from lookalikes such as steam, dust, welding arcs, vehicle exhaust and reflected light. This visual discrimination sharply reduces false alarms, so every alert is worth acting on, and detection improves as models are tuned to your site.
What can it detect, and what are the limits?
It reliably detects visible flames and opaque smoke indoors and out, including early smouldering with thermal cameras. Honestly, very small sources — a lighter, thin vape smoke, or fire under a few percent of the frame — may not trigger, so good camera placement and coverage matter.
Is it compliant with fire-safety standards in India?
Camera-based video fire detection is recognised alongside standards such as NFPA 72 and EN 54, and Indian deployments consider BIS IS 2189. Sieora is designed to align with these frameworks and to complement, not replace, your certified fire alarm system.
Does it replace my fire alarm system?
No. Sieora adds fast visual early warning on your existing cameras, especially where ceiling sensors are slow. It's a layer of early detection and verification, not a replacement for code-required fire alarm infrastructure.
Where is AI fire detection used?
High-ceiling warehouses and atriums, oil and gas and refineries, chemical and energy plants, cold storage, waste and recycling yards, and open outdoor sites including wildfire-prone areas. Anywhere ceiling detectors are slow or unusable is a strong fit.
SMOKE ✗ EARLY WARN
ALERT SENT · 22s
