Case Study: IN2SOLUTION detects wildfires faster with Scylla AI

IN2solution detects wildfire smoke at 5 km in seconds with Scylla

In2solution, a security systems integrator and remote video monitoring center based in Athens, faced the demanding operational challenge of continuously monitoring remote Greek forests for early signs of wildfire. Their challenge was to provide automated detection at scale in areas without conventional infrastructure while maintaining a clear workflow for human verification. To address this, they turned to Scylla AI's smoke and fire detection technology.

Scylla's solution provided continuous AI analysis of video streams, automatically generating alerts for potential smoke. During the 2026 fire season, Scylla detected smoke from approximately 5 kilometers away and delivered an automated alert within seconds. This enabled In2solution's operators to immediately verify the event and notify authorities, resulting in the fire being contained before it could become a major incident despite difficult conditions. The same Scylla AI platform was also used for perimeter intrusion detection to protect the monitoring infrastructure itself.

In2solution