Engineered vision-based on-premise and edge solutions for rapid fire and threat detection.
This fire detection system uses computer vision to identify early signs of fire, smoke, and other safety threats before they escalate into dangerous situations.
The solution processes camera feeds in real-time, detecting subtle indicators like smoke patterns and unusual heat signatures that human monitors might miss.
Designed for both on-premise installation and edge deployment, the system can operate independently of internet connectivity, ensuring functionality even during network outages.
Developed a specialized classifier using spectral and temporal features to differentiate between harmless steam and dangerous smoke.
Implemented a redundant detection system with multiple algorithms running in parallel, requiring consensus before triggering alerts.
Combined visible light cameras with thermal sensors to maintain detection capabilities in all lighting conditions, including complete darkness.
"The early detection capabilities of this system prevented what could have been a catastrophic fire in our warehouse. The few minutes of advanced warning made all the difference."
Jennifer Torres
Facility Manager, Global Distribution Center
