AI Supported Early Fire Detection System
Early fire/smoke detection and automatic alarm chain in seconds with thermal and optical camera image analysis.
6+
4
3
Website
System that Automates the Alarm Process by Detecting Smoke and Flame Early
A 24/7 autonomous monitoring and early warning platform that detects smoke and flame at the initial stage by analyzing camera and thermal sensor images with real-time convolutional neural networks (CNN) and instantly transmits geographical location and live images to the relevant fire brigade and security units.
Operational scope
Problems Solved & Value Delivered
Unnoticeable growths in the smoke stage of forest and factory fires
Delays in human-eye viewing towers at night and in foggy weather
Unnecessary diversion of fire and security personnel due to false alarms
Possibility to intervene in the fire while it is still in the smoke phase
24/7 autonomous monitoring independent of human factors
High accuracy early warning that prevents loss of life and property
Technical Features & Modules
Live image processing from optical and thermal IP cameras
Smoke and flame detection in seconds Model AI
Night vision and infrared analysis in harsh weather conditions
Instant fire focus and coordinate estimation on the map
Multi-channel automatic alarm chain (SMS, Siren, Push, IVR)
Incident video recording and automatic evidence file creation
Live location and fire severity notification for field additionalIPs
Mobil live camera monitoring and crime scene directions
Explore the project through its presentation
Use arrow keys or scrolling to move between slides.
See this project in your organization
Fill out the form and we will plan a tailored demo or return with a similar project proposal.
Explore our other field-tested projects
Let's Discuss Your Project
We'll listen to your requirements, schedule a custom demo, or provide a quote within 24 hours.