AI Fire and Smoke Detection Video
Watch YAFE AI optical fire and smoke detection in action. This demonstration showcases real-time edge computer vision analyzing industrial CCTV video feeds, identifying flickering flames, smoke plumes, and thermal runaway hazards in sub-3 seconds before aspirating ceiling sensors can activate.
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What This Video Demonstrates
The video above illustrates YAFE's deep learning optical fire and smoke detection model analyzing an active factory storage area. In high-ceiling warehouses, battery charging bays, and outdoor chemical yards, physical smoke ionization or beam detectors often take minutes to register an alarm. YAFE's computer vision system detects optical flame flickering and expanding smoke plumes at the speed of sight.
Video Scene & Telemetry Breakdown
Ignition Event & Micro-Flicker Frequency Analysis
CCTV camera captures the initial flame ignition point in a chemical/battery bay. Optical frequency filters identify unique combustion flicker rates, ruling out reflection artifacts.
Smoke Diffusion Vector Tracking & Volumetric Growth
The model tracks expanding smoke plume diffusion patterns. Deep neural network layers verify upward expansion characteristics, distinguishing smoke from steam, fog, or dust clouds.
Sub-3s Confirmed Alarm & Deluge System Interlock
Optical fire classification reaches 99.4% confidence in sub-3 seconds. The system dispatches high-priority EHS alert notifications and triggers automatic fire suppression deluge relays.
Core AI Fire and Smoke Detection Capabilities
YAFE Optical Fire & Smoke Detection provides early thermal and combustion intervention for high-risk industrial facilities:
- Sub-3 Second Flame Identification: Optical recognition of open flames, embers, and spark showers before heat builds up at roof level.
- Volumetric Smoke Plume Analysis: Early detection of smoldering materials and smoke deflagration in open warehouses with high ceilings (exceeding 10m).
- Battery Energy Storage (BESS) Thermal Runaway: Continuous monitoring around lithium-ion battery banks, identifying thermal off-gassing and white vapor plumes.
- False Alarm Filtering: Proprietary temporal models differentiate real combustion from forklift headlights, welding arcs, sun glares, and boiler steam.
- Industrial PLC & Deluge Interlocks: Direct relay integration triggers emergency foam deluge valves, exhaust dampers, and fire alarm control panels (FACP).
Integration with Existing Plant Infrastructure
YAFE Fire and Smoke Detection operates with standard color or IR-illuminated IP security cameras via RTSP/ONVIF streams. Facilities can activate early optical fire detection without the high capital expense of specialized thermal flame detectors.