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Wayam AI
ManufacturingSafety & SecurityRepresentative scenario

Flame, Smoke & Chemical Leak Micro-Detection in Oil Refineries

A petro-chemical refinery operating hazardous process units, tank farms, and pipe racks monitored by 400 outdoor industrial CCTV cameras.

Run on Arjuna · Plant Operations & Safety

A vast pipe lattice with a single micro-plume rising from one joint

The challenge

    01

    Traditional optical flame and point gas detectors were affected by outdoor wind currents, missing early micro- flames or vapor leaks until fires spread.

    02

    Early-stage chemical vapor leaks (e.g., steam, hydrocarbon vapors) are invisible to the naked eye but cause major safety disasters if un-detected.

    03

    Refinery safety rules required 24/7 continuous visual monitoring of high-pressure pump seals.

How Arjuna solves it

    01

    AI Video Flame & Smoke Spectral Analytics

    Arjuna analyzes CCTV video pixels for characteristic high- frequency flame flickering and subtle smoke plume expansion patterns 10x faster than thermal point sensors.

    02

    Optical Gas & Vapor Plume Micro-Detection

    Detects subtle atmospheric refractive index distortions caused by pressurized gas and steam leaks on existing camera views.

    03

    Immediate Control Room Alarm Highlighting

    Instantly pops up live camera feeds with red bounding boxes around micro-flames or vapor leaks on central refinery SCADA monitors.

    04

    Automated Deluge System Interlocking

    Triggers automated zone fire suppression deluge systems when verified flame signatures breach critical size thresholds.

    05

    Refinery EHS Compliance Reporting

    Generates complete environmental and safety incident logs for regulatory authorities.

The outcome

early flame and smoke detection response time cut
0 minutesearly flame and smoke detection response time cut
  • Early flame and smoke detection response time cut from 3 minutes to 4 seconds.

  • Intercepted 3 major high-pressure pump seal vapor leaks before fire ignition occurred.

  • Enhanced refinery fire safety coverage across 400 existing cameras with zero physical sensor piping work.

Representative scenario: a modelled industry situation showing how this accelerator applies. Figures are projections, not a named client result.

Capabilities used

Every accelerator is assembled from the same capability layer, so a workflow you adopt here shares its foundation with the rest of the portfolio.

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