Fire detected, fire banned
Automatic forest fire detection system with AI enables early and efficient fire fighting
Heat waves caused by climate change are currently also increasing strongly across Europe and the associated risk of forest fires is rising immensely. Fires in natural areas are increasingly getting out of control due to drought and wind, and the risk of danger to people, animals, nature and infrastructure is growing. But how can fires be detected and localised at an early stage in order to minimise or even avoid serious damage?
Such challenges can be mastered with image processing and artificial intelligence. Neural networks and deep learning algorithms enable an image processing system to see, recognise and verify objects - in this case smoke.
The French company Paratronic has taken up this topic. Within the scope of its field of activity, of monitoring natural hazards, the solution provider successfully devotes itself, among other things, to the development of intelligent products for fire monitoring. Their automatic forest fire detection system ADELIE (Alert Detection Localisation of Foret Fires), whose key components are industrial image processing and artificial intelligence, has proven itself in use. Four industrial cameras from IDS Imaging Development Systems GmbH in Obersulm are integrated into each system.
