F.L.A.R.E (Fire Localization and Response Engine) fuses computer vision, environmental sensors, and automation to spot fires early, pinpoint their location and type, and trigger the right suppression response — all monitored live from one dashboard.
Four coordinated stages keep a space monitored around the clock and ready to react the instant something's wrong.
Smoke, gas, and thermal sensors continuously sample the environment alongside a live camera feed.
Computer vision models classify frames in real time to confirm fire presence and rule out false alarms.
The system pinpoints where the fire is and what type it is, so the right response can be chosen.
Suppression is triggered automatically while alerts and logs are pushed to the dashboard instantly.
Built for fast decisions during an emergency — clear status, live feed, and history at a glance.
Watch the monitored area in real time with an always-on video stream and motion scanning overlay.
Smoke level, gas level, date and time — all tracked live so you always know current conditions.
Every detection event is time-stamped and archived with a snapshot for later review.
The moment an anomaly is confirmed, an alert banner and notification fire off immediately.
Account-based login keeps monitoring data and controls restricted to authorized users only.
Once fire type and location are confirmed, the appropriate suppression response activates on its own.
A capstone project from the University of the Cordilleras, College of Engineering and Architecture.
Log in to the demo dashboard and explore live monitoring, alerts, and history.
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