Computer Vision & Video Smoke/Flame Analytics (VSD)

​Rather than waiting for smoke to reach a sensor, Video Smoke and Flame Detection (VSD) turns existing CCTV and IP security camera feeds into continuous, early-stage fire sensors.
​How AI Analyzes Video Feeds
​Computer vision models evaluate visual streams using three primary algorithms:
​Color & Texture Histograms: Differentiating the high-flicker light signatures of flames and the soft-edged grey/black gradients of smoke from ambient lighting.
​Motion & Flow Dynamics: Tracking upward plume drift, expansion rates, and turbulent dispersion characteristics unique to rising combustion products.
​Temporal Persistence Filters: Analyzing frame-by-frame persistence to filter out reflections, welding flashes, vehicle exhaust, or steam before sending an alert.
​Key Impact: In high-ceiling logistics facilities, outdoor storage yards, and chemical plants, video analytics can detect visible smoke or flame in seconds—often several minutes before smoke reaches roof-mounted point detectors.