July 26, 2026
During this 24-hour period, 374,725 input data points, including signals and images, were processed. This resulted in the identification of 2,563 potential hazards with varying priority levels. By aggregating the collected data and completing final verification in the next processing layer for genuine ultra-early wildfire detection, early hazard notifications were issued for 6 locations. SenseNet […]
July 25, 2026
During this 24-hour period, 360,870 input data points, including signals and images, were processed. This resulted in the identification of 2,801 potential hazards with varying priority levels. By aggregating the collected data and completing final verification in the next processing layer for genuine ultra-early wildfire detection, early hazard notifications were issued for 21 locations. SenseNet […]
July 24, 2026
During this 24-hour period, 358,011 input data points, including signals and images, were processed. This resulted in the identification of 2,232 potential hazards with varying priority levels. By aggregating the collected data and completing final verification in the next processing layer for genuine ultra-early wildfire detection, early hazard notifications were issued for 12 locations. SenseNet […]
July 23, 2026
During this 24-hour period, 361,202 input data points, including signals and images, were processed. This resulted in the identification of 4,559 potential hazards with varying priority levels. By aggregating the collected data and completing final verification in the next processing layer for genuine ultra-early fire detection, early hazard notifications were issued for 11 locations. SenseNet […]
July 22, 2026
During this 24-hour period, 347,487 input data points, including signals and images, were processed. This resulted in the identification of 1,735 potential hazards with varying priority levels. By aggregating the collected data and completing final verification in the next processing layer for genuine ultra-early fire detection, early hazard notifications were issued for 24 locations. SenseNet […]
July 21, 2026
During this 24-hour period, 363,638 input data points, including signals and images, were processed. This resulted in the identification of 40,761 potential hazards with varying priority levels. By aggregating the collected data and completing final verification in the next processing layer for genuine ultra-early fire detection, early hazard notifications were issued for 7 locations. SenseNet […]
The new capability means fire crews can be alerted and on their way even before a 911 call comes in.
It continuously scans for smoke columns within the city, And if it does detect a column of smoke, it sends an alert back to our dispatch center.
Sensenet built an AI system that’s used now in 11 countries.
The Government of Canada announced at Web Summit Vancouver that SenseNet has been awarded federal support through the AI Compute Access Fund for a multi-million dollar project to help protect the planet. The announcement was made by the Honourable Evan Solomon, Minister of Artificial Intelligence.This recognition and support will help us continue scaling SenseNet’s AI […]
Wildfire Intelligence in Action: Exploring BC’s Official Fire Status and Monitoring System
Discover how British Columbia’s official wildfire status platform delivers real-time fire data, improves public safety, and highlights the future of AI-powered wildfire detection systems.