Preventing false alarms is a key priority for any autonomous fire protection system—especially because frequent false alerts can disrupt operations.
At ACEDES, we’ve developed advanced, industry-leading algorithms that are designed to distinguish between environmental factors and genuine fire risks. Common sources of false alarms can include:
- Heat from machinery exhausts or braking systems
- Sunlight reflections off water or metallic surfaces, which can appear as hotspots
To address this, the FalconEx™ system combines both infrared and video sensors. By analyzing these two data streams together through our intelligent filtering algorithms, the system can accurately determine whether an alert is real or not.
The result is reliable detection that minimizes false alarms—helping you maintain smooth operations while keeping your people and assets protected.


