All case studies
AI & Computer Vision2024

AI-Powered Fire Detection System

AI that spots fire before the smoke reaches the ceiling

Real-time flame and smoke detection on ordinary CCTV feeds, watching 24/7 so nobody has to.

Client
Confidential safety operator
Location
Islamabad, Pakistan
Industry
AI & Computer Vision
Engagement
2024
Services
AI & Computer Vision, Cloud, DevOps & IT

The Problem

Traditional smoke sensors trigger only after a fire is already established, which is often too late in warehouses, kitchens and industrial floors. Our client needed a way to spot the earliest signs of ignition on existing CCTV, without ripping and replacing hardware.

What We Delivered

  • 1

    A custom computer-vision model trained to detect flames and smoke across lighting, angle and background conditions.

  • 2

    Edge inference on affordable NVIDIA hardware so detection runs on-premises with no cloud round-trip.

  • 3

    An operator dashboard with live alerts, incident recordings and role-based access for site managers.

  • 4

    Integration with existing PA and fire-suppression systems for automated first-response.

Key Results

<3s

from first flame to operator alert

96%

detection accuracy on production sites

24/7

monitoring across every camera, with no human eyes required

“The system flagged a small kitchen flare-up before our own staff spotted it. Nobody was hurt, and nothing was lost. That is exactly why we built this.”

— Head of Safety, client site

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