Fire Smoke Detection Based on Contextual Object Detection

Smoke detection based on automatic visual system has been applied to fire alarm in open spaces where traditional smoke detection system is not suitable for it. However, detecting the course of smoke posed great challenges for both systems. To address this problem, we propose a new method that combines context-aware framework with automatic visual smoke detection. The strategy is evaluated on dataset and the results demonstrate the effectiveness of the proposed method.