KP Forest Department, in collaboration with WWF Pakistan and LUMS, developed an advanced Early Warning System for Forest Fires to protect the forests of Khyber Pakhtunkhwa. This cutting-edge system leverages AI-powered IoT cameras, remote sensing, and predictive modelling to safeguard these vital ecosystems.
Key features of the Early Warning System include:
AI-Powered PTZ Cameras: Pan, tilt, and zoom-capable cameras provide continuous visual monitoring and automatic early fire detection using AI models.
LoRa-Based Communication Networks: Low-bandwidth communication networks enable efficient data transmission from IoT sensors and weather stations in remote areas.
Predictive Modeling: Machine learning algorithms predict fire hotspots, spread, and direction, helping firefighting teams plan more effective and safer responses.
Centralized Data Integration: Data from sensors, cameras, and remote sensing is combined into a single database, feeding into a user-friendly dashboard for easy access.
Community Alerts: Integration with platforms like WhatsApp for Business or SMS ensures timely early warning alerts for local communities.
Cost-Effective and Scalable: Utilizes affordable PTZ cameras and IoT sensors, allowing for more extensive coverage and effective monitoring.
Edge-Based AI Processing: AI processing at the tower reduces data transmission, optimizing power consumption and resource usage.
Temperature Management: Designed to operate in hot conditions, the system includes cooling mechanisms to maintain reliable performance.
Tested MVP: The system was rigorously tested in a controlled environment to ensure functionality and reduce deployment time in the field.
