Abstract: The present invention relates to a device (2) for detecting drowning individuals or individuals in a situation presenting a risk of drowning, comprising at least one program of codes that are executable on one or more processing hardware components such as a microprocessor, the program being stored in memory in at least one readable medium and implementing an artificial neural network (20) having an automatic learning architecture composed of several layers, the artificial neural network (20) being pre-trained on image data from at least one standard non-specific database, the program being characterized in that the neural network is further trained a second time by learning transfer on image data from videos of simulated or real drowning situations or situations presenting a risk of drowning, the trained program being configured by this learning transfer to identify, preferably in real time, drowning situations or situations presenting a risk of drowning based on new image data provided.

Abstract: The present invention relates to a device (2) for detecting drowning individuals or individuals in a situation presenting a risk of drowning, comprising at least one program of codes that are executable on one or more processing hardware components such as a microprocessor, the program being stored in memory in at least one readable medium and implementing an artificial neural network (20) having an automatic learning architecture composed of several layers, the artificial neural network (20) being pre-trained on image data from at least one standard non-specific database, the program being characterized in that the neural network is further trained a second time by learning transfer on image data from videos of simulated or real drowning situations or situations presenting a risk of drowning, the trained program being configured by this learning transfer to identify, preferably in real time, drowning situations or situations presenting a risk of drowning based on new image data provided.