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Fire & Smoke detection is an automated computer vision safety system designed to identify visual signatures of combustion, flame, and smoke plumes at the earliest stage.
Unlike traditional passive heat and particle sensors that depend on physical contact with the ceiling, LogiScan monitors the visual environment directly. Using temporal neural networks, it separates smoke and fire signatures from glare, steam, dust, or vehicle exhaust, ensuring extreme alert reliability.
This early warning system provides critical evacuation and containment advantages, linking directly into existing building management systems and chemical suppression loops to protect physical assets and human lives.

Fire & Smoke with LogiScan
Deploying Fire & Smoke models onto LogiScan’s local edge compute system converts standard video feeds into active safety alerts. Here is our edge deployment checklist:
Sub-400ms Detection
Frames are analyzed in real-time, detecting smoke plumes and spark discharges the moment they enter a camera field of view.
Instant Webhook Egress
Dispatch high-priority event details, pre-roll footage clips, and zone coordinates to responders under 2 seconds.
Evacuation Automation
Directly trigger sprinkler systems, sound regional sirens, and alert fire marshals dynamically.
Zero Camera Swaps
Bridge directly into your existing IP camera infrastructure via standard RTSP protocols, avoiding rewiring costs.

Deploying Analytics in Minutes
Our customer portal allows security administrators to easily configure stream integrations and bind AI playbooks without writing code.
Register Camera Stream
Provide the RTSP address, IP camera feed, or link your existing VMS/NVR grid directly within the stream manager portal.
Draw Polygon Detection Zones
Define active tracking boundaries and safety tripwires directly on the live camera viewport overlay inside the browser.
Bind AI Model Playbook
Select and load the customized Fire & Smoke neural model to run frame inference on this specific camera channel.
Configure Alert Egress Actions
Choose warning targets to dispatch events automatically: Slack channels, EHS log databases, or custom REST webhooks.
