Amit Straus← Work
EngineeringAzrieli College of EngineeringFinal project, 2024
Early wildfire detection from IoT sensors
An algorithm for early forest fire detection using IoT field devices and multiple environmental variables, supporting real-time alerting and predictive modeling.
My role: Algorithm design and predictive modeling.
The problem
Forest fires are cheap to stop early and almost impossible to stop late. The detection window is the whole problem.
What I did
- Combined readings from IoT field devices across multiple environmental variables rather than relying on any single signal.
- Built the detection logic to support real-time alerting, not retrospective analysis.
- Added predictive modeling so the system could indicate rising risk before ignition rather than only confirming a fire in progress.
What changed
- The detection algorithm and the final project for a four-year industrial engineering degree majoring in information systems.
What I took from it
This was the first thing I built where the point was preventing harm rather than saving effort, and it set the direction for everything since. Technology should expand opportunity, not narrow it. I did not have that sentence yet, but this was it.
IoTAlgorithmsPythonPredictive modelingData