Birsav Bilişim
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Early fire/smoke detection and automatic alarm chain in seconds with thermal and optical camera image analysis.
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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.
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
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
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24/7 autonomous monitoring independent of human factors
High accuracy early warning that prevents loss of life and property