Thermal sensors rely on heat reaching the physical ceiling. Visual AI catches the ignition spark. Dhi analyzes volumetric shifts in pixel densities to catch plumes in high-pile storage environments globally.
Logic Validation
Verify the specific neural thresholds and VMS integration triggers used to automate this safety protocol.
Heat Wait Gap
Thermal sensors rely on heat reaching the physical ceiling. Visual AI catches the ignition spark. Dhi analyzes volumetric shifts in pixel densities to catch plumes in high-pile storage environments globally.
Accuracy
Plume Volume Analysis: Identifies the unique expanding structure of smoke pixels versus dust or ambient particulate.
Integration fit
Dhi's visual alerts buy safety teams the critical minutes needed to suppress a forklift battery fire with extinguishers before central ceiling sprinklers deploy and ruin millions in stock.
Failure mode coverage
Luminance Spikes: Captures irregular, rapidly strobing bright zones consistent with chemical or electrical ignition.
Use-case fit
Structural Context: Calibrated entirely at the edge to ignore welding sparks or heavy machinery exhaust if whitelisted.
Dhi's visual alerts buy safety teams the critical minutes needed to suppress a forklift battery fire with extinguishers before central ceiling sprinklers deploy and ruin millions in stock.
Dhi's models do not stream raw video to the public cloud. All safety inferencing occurs on-premise within your localized network, ensuring GDPR compliance and air-gapped security for critical infrastructure environments.
Coordinate a 30-day architecture review and live camera validation for visual smoke & fire alerts in your facility.
Compatible with existing Milestone, Genetec, and standard ONVIF streams.
See the flow on a real operating scenario and scope a pilot around one facility or corridor.
Review camera ingest, edge inference, alert routing, and what stays on-premises.
Download the deployment checklist buyers use before green-lighting an industrial AI pilot.
Bring camera count, VMS constraints, latency expectations, and privacy requirements to a technical review.