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 is proud to have helped prevent seven incidents that could each have resulted in devastating loss of life and property. Through rapid detection, early notification, and close cooperation with operational teams, all seven incidents were contained at the lowest possible cost.
Thank you for your attention.
