Learn about video analysis, event rules, visual evidence and field assessment through COLT AI examples.
Camera-based fire and smoke analysis evaluates signs visible in video. Project assessment considers camera views, environmental conditions, event definitions and how teams will review those events. COLT AI brings these steps together in one platform workflow.
AI-generated scenario · Actual model analysis · Recorded proof-of-concept demonstration
Fire and smoke analysis works within COLT AI's shared camera, rule and event management.
Compatibility, viewing angle and image quality of existing IP camera or NVR streams are assessed at the start of the project.
The model evaluates visible flame and smoke while retaining camera and region context.
Monitored areas and event conditions are configured for the project, taking normal site behavior into account.
Time-stamped events and related imagery can be reviewed in the dashboard and routed to the relevant team according to configuration.
Factory, warehouse and construction examples explain detection output and alert views. These POC recordings are not field performance measurements. Project samples are assessed across lighting, normal steam or dust, occlusion and camera angles, with acceptance criteria defined from those observations.
A POC video showing COLT AI detecting visible flame in a factory scenario and producing a fire alert with visual evidence.
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A POC recording of COLT AI analyzing flame in a warehouse camera view and showing the alert and visual evidence.
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A POC video showing visible flame in a construction-site scenario with COLT AI model output and a fire alert.
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A POC video showing warehouse smoke, COLT AI detection output and a smoke alert with visual evidence.
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A short COLT AI POC video showing smoke detection in a construction-site camera view and the smoke alert appearing at the end.
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