Detect Industrial Fire in Seconds with
AI Video CCTV Vision
Don’t wait for smoke to reach 40-foot ceilings. Detect open flames and billowing smoke plumes within 3 to 10 seconds using your existing surveillance cameras across Indian manufacturing plants.
Where Traditional Smoke Detectors Fail, Vision AI Protects
Ideal for high-risk industrial environments across India prone to electrical, chemical, and stockpile fires.
High-Bay Warehouses & Sheds
Detects floor-level fire and smoke before plumes can disperse or cool down in massive 15-meter tall logistics sheds.
Chemical & Flammable Solvent Stores
Monitors hazardous chemical storage zones 24/7, recognizing sudden flame bursts and venting anomalies instantly.
Outdoor Scrap & Coal Stockpiles
Monitors outdoor scrap yards, coal bins, and biomass storage where physical smoke sensors cannot be mounted.
Visual Fire & Smoke Detection FAQs
Common questions asked by plant engineers, safety officers, and facility directors.
1. How does AI CCTV fire and smoke detection work?
The system runs deep learning computer vision models on video streams from standard CCTV cameras. It analyzes color spectrum, plume dynamics, flickering frequencies, and expansion patterns to detect flames and smoke plumes within 3 to 10 seconds—far faster than physical smoke detectors which require smoke to physically drift up to ceiling sensors.
2. Why is visual AI fire detection superior for high-ceiling Indian factories?
In factories, warehouses, and boiler rooms with 30–50 ft ceiling heights, thermal and ionization smoke detectors can take 5 to 15 minutes to trigger due to smoke stratification and air currents. Visual AI cameras detect smoke at floor level immediately as soon as it enters the camera field of view.
3. Can it work in outdoor scrap yards and open coal/chemical storage?
Yes. Physical smoke and heat detectors cannot operate in outdoor or semi-open yards due to wind and open air. Anshos AI visual fire detection monitors open scrap yards, raw material stockpiles, transformer yards, and waste recycling yards with long-range PTZ cameras.
4. Does the system trigger false alarms from vehicle exhaust, dust, or steam?
No. The AI model is trained on multi-frame temporal pattern recognition. It differentiates genuine combustion smoke from steam dissipation, fog, and vehicle exhaust fumes, maintaining a false alarm rejection rate of over 98%.
5. How does the system integrate with existing fire alarm panels (FAS)?
Anshos Edge AI connects to industrial dry-contact relay modules, MODBUS/TCP, or IP sirens, allowing it to trigger physical hooters, strobes, and notify factory security and fire stations via automated WhatsApp, SMS, and email.
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