Hazard identified, hazard averted

An automatic forest fire detection system with AI makes it possible to fight fires early and effectively.

Heat waves caused by climate change are currently on the rise across Europe and the resulting risk of forest fires is increasing immensely. Fires in natural areas are increasingly out of control due to drought and wind, and the risk of endangering people, animals, nature and infrastructure is increasing. But how do you detect and locate fires in time to minimize or even avoid serious damage? Image processing and artificial intelligence make it possible to meet such challenges. Neural networks and deep learning algorithms allow an image processing system to see, recognize and verify objects – in this case, smoke.

The French company Paratronic has looked into the matter. Within the scope of its business area natural hazard monitoring, the solution provider successfully focuses among other things on the development of intelligent products for fire monitoring. Their automatic forest fire detection system ADELIE (Alert Detection Localization of Forest Fire), whose key components are industrial image processing and artificial intelligence, has proven itself in the field. Four industrial cameras from the company IDS Imaging Development Systems GmbH are integrated into each system.

They constantly observe a specific forest area within a radius of up to 20 kilometres. Depending on the installation, it takes them a maximum of two minutes to check a 360 degree radius. Thanks to the algorithms developed by Paratronic, the system is able to detect and locate the sources of fire from the images taken and provide real-time information for the corresponding possibilities of action. The ADELIE system thus guarantees effective planning and guidance of firefighter intervention forces for the protection of our living environment, not to mention the protection of buildings, power lines, telecommunication lines, road infrastructure. or rail.

The ADELIE system consists of at least two interconnected monitoring points. Each surveillance point includes two detection cameras and an additional camera which is used to remove doubts. Four IDS ethernet cameras are integrated in each ADELIE detection camera. A total of eight IDS cameras are thus used per monitoring point. These points allow 360° surveillance, each azimuth being visualized approximately every two minutes. Automatic monitoring of the observed natural area is carried out 24 hours a day, seven days a week.

The system is connected to a processing unit whose software contains image processing algorithms based on artificial intelligence. The program developed by Paratronic records, compares and analyzes the images provided by the cameras. Long before a tree burns, smoke billows from the surrounding grass and brush. By comparing images and based on learned characteristics, the system detects rising smoke. As soon as this smoke is visible from the monitoring station, ADELIE triggers the alarm. This phase is the automatic detection of fires and forest fires. The service operator then controls the camera remotely to remove the doubt and checks the nature of the detection. It locates the source of the fire by triangulation on a map and informs the intervention center, which launches fire-fighting measures.

At the same time, all the information, images and knowledge acquired by the AI ​​are transmitted without delay to the fire alarm center or the fire control center. Thanks to the real-time visualization of the event, the localization of the source of fire on a digital map and various augmented reality functions, it is possible to immediately visualize the context, the extent and the evolution of the fire. fire, and to take appropriate measures to fight it. A remote-controlled video camera completes the system. This is used to check and monitor the fire until the arrival of the first extinguishing unit and allows the fire to be followed without interruption from its start until its extinction.
ADELIE is therefore more than an automatic fire and forest fire detection system, it is an integrated fire and forest fire information monitoring and management system. The French image processing solution thus makes a decisive contribution to limiting the damage. Thanks to the early detection of fires and the precise localization of the sources of fire, it considerably reduces the risk of propagation and can minimize the resulting damage to people, the environment and the economy.

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Hazard identified, hazard averted


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