FFDNet: An End-to-End Lightweight Real-Time Fire Detection Model for Forest Fire Environments

Key Points

• Fire detection accuracy is enhanced by using an end-to-end model that operates in real-time, effectively identifying forest fire threats.
• The model achieves detection with a low false positive rate, ensuring reliability in various fire-prone environments.
• Using lightweight architecture, the fire detection model remains efficient enough for deployment on devices with limited computational resources.
• Implications of this model support proactive measures in forest fire prevention and management, especially in vulnerable areas.