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 is proud to have helped prevent 6 potential incidents, each of which could have resulted in devastating loss of life and property. Through rapid detection, early notification, and close collaboration with operational teams, all incidents were successfully contained at the lowest possible response cost.
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