COLT AI · POC
Factory Flame Detection and Fire Alert
A POC video showing COLT AI detecting visible flame in a factory scenario and producing a fire alert with visual evidence.
Watch the video and analysisCOLT AI · FIRE & SMOKE
AI Fire and Smoke Detection
Turn visible flame and smoke in factory, warehouse and construction-site camera views into events with visual evidence.
COLT AI
When visible flame or smoke appears in a camera view, continuous manual monitoring can make events harder to notice and review.
COLT AI analyzes visible flame and smoke in camera footage. Configured event rules associate detections with camera and time context, supporting visual evidence and alert workflows for team review.
- Visible flame in the camera view
- Visible smoke in the camera view
- Region-based fire and smoke events
- Visual evidence associated with alerts
Detection and Alerts Across Five Scenarios
Explore different camera views for flame and smoke. Each video shows its scene, model output and recorded alert.
COLT AI · POC
Warehouse Flame Detection and Fire Alert
A POC recording of COLT AI analyzing flame in a warehouse camera view and showing the alert and visual evidence.
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COLT AI · POC
Construction-Site Flame Detection and Fire Alert
A POC video showing visible flame in a construction-site scenario with COLT AI model output and a fire alert.
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COLT AI · POC
Warehouse Smoke Detection and Alert Record
A POC video showing warehouse smoke, COLT AI detection output and a smoke alert with visual evidence.
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COLT AI · POC
Construction-Site Smoke Detection and Alert Record
A short COLT AI POC video showing smoke detection in a construction-site camera view and the smoke alert appearing at the end.
Watch the video and analysisThese videos are proof-of-concept recordings of AI-generated scenes analyzed by the existing model. Detection boxes and alerts are part of the recordings. Field deployment is assessed separately against camera conditions and project acceptance criteria.
From Detection to Visual Event Records
Fire and smoke analysis works within COLT AI's shared camera, rule and event management.
Camera and field of view
Compatibility, viewing angle and image quality of existing IP camera or NVR streams are assessed at the start of the project.
Flame and smoke analysis
The model evaluates visible flame and smoke while retaining camera and region context.
Region and event rules
Monitored areas and event conditions are configured for the project, taking normal site behavior into account.
Evidence, review and notification
Time-stamped events and related imagery can be reviewed in the dashboard and routed to the relevant team according to configuration.
Configuration for Your Site
Camera placement, lighting, occlusion, monitored regions and normal production conditions are considered together. On-Premise, Edge or hybrid processing is designed around camera count and your data policy.
About Fire and Smoke Detection
Can existing cameras be used?
Compatibility, viewing angle and image quality of existing IP camera or NVR streams are assessed at the start of the project.
Can flame and smoke be monitored together?
Flame and smoke scenarios can be managed in the same COLT AI layer. Monitored regions and event conditions are configured to site requirements.
How are normal steam and dust assessed?
Normal production conditions, lighting and camera angles are reviewed using site samples. Event rules and acceptance criteria are defined from that assessment.
What information accompanies an alert?
Time-stamped events and related imagery can be reviewed in the dashboard and routed to the relevant team according to configuration.
Are these videos from customer sites?
These videos are proof-of-concept recordings of AI-generated scenes analyzed by the existing model. Detection boxes and alerts are part of the recordings. Field deployment is assessed separately against camera conditions and project acceptance criteria.
Configuration for Your Site
Camera placement, lighting, occlusion, monitored regions and normal production conditions are considered together. On-Premise, Edge or hybrid processing is designed around camera count and your data policy.