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Drones to search for people lost in the forest

31.12.2020

Scientists at the Johannes Kepler University (Linz, Austria) have developed a new method based on machine learning technologies that should radically increase the efficiency of finding people lost in areas with dense vegetation.

Today, if it is necessary to urgently find people lost in the forest, search and rescue teams usually use helicopters or drones. Rescuers fly over the area where the missing are most likely to be found. The problem is that in conditions of dense vegetation it is almost impossible to see human figures in the thickets. Thermal imagers help a little in this situation, allowing you to "see" through the crowns of trees. But here, too, there are significant limitations. Unfortunately, in some cases, thermal imaging is also not particularly effective, for example, when the sun heats trees to a temperature close to human body temperature.

However, as researchers have proven, using artificial intelligence technologies can partially solve this problem. A special machine learning algorithm developed by the team collects a group of images of a certain area obtained from a helicopter or drone, and then combines them in such a way that they form a thermal image with a much higher resolution than a single thermal imager. After processing, the resulting images had a significantly greater depth of field, as a result, the trees in the images looked blurry, and the silhouettes of people lying on the ground became more recognizable.

To create a training AI base, volunteers were photographed using drones in different positions on the ground, which made it possible to ensure the accuracy of detecting people at the level of 87-95%.

To train the AI system, the researchers had to create their own database of images. They used drones to take pictures of volunteers on the ground in a variety of positions.

During testing of the AI system, the accuracy of detecting people in dense forest was at the level of 87-95%, compared to 25% for traditional thermal imaging. The researchers suggest that their system is ready for use by search and rescue teams, and can also be used by law enforcement, military or wildlife groups.

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