Smoke & Fire Detection
Detect smoke and fire early with IncoreSoft’s AI video smoke detection system. Real-time alerts, metadata, cross-platform UI - protect industrial, city, and rural areas.
How It Works
Camera Selection & Placement
Pick cameras with proper resolution, dynamic range, and field-of-view for the area to be protected, from rooflines to forest edges or factory bays.
Pre-Processing
Algorithms normalize frames by removing lens artifacts, compensating for weather or noise, and adjusting for lighting changes.
Candidate Detection
Rule-based methods or deep-learning models highlight regions showing smoke-like or flame-like behavior, with temporal checks to avoid false alarms from shadows, clouds, or steam.
Confidence Scoring & Filtering
Thresholds, ensemble models, and contextual rules (fog, controlled burns) reduce false positives and improve reliability.
Alerting & Evidence
When detection confidence passes a set limit, the system generates an alarm packet with camera ID, timestamp, geo-position, and visual evidence, sending it to operators or triggering automated responses.
Works With Your Existing Stack
Deploy alongside your current cameras, hardware, and VMS - no forklift upgrade required.
IP Cameras
Any ONVIF / RTSP stream
VMS Platforms
Native plugin & SDK support
Edge Hardware
GPU-accelerated inference
Frequently Asked Questions
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