The wandering was missing for about a year – until the Amnesty International system recognized his helmet

How much time It is necessary to determine the missing wandering helmet in a mountainous area with an area of 183 hectares, and the analysis of 2,600 frames that were taken by a drone from about 50 meters? If this is done with a human eye, weeks or months. If analyzed by artificial intelligence The system, one afternoon. The national rescue weapon in the Alps and the stabbed, known for its first Italian name CNSAS, He relied on Amnesty International to find the body of a missing person in the Pidmont area in Italy on the northern face of Menviso – the highest peak in the Cotton Alps – since September 2024.

According to Saverio Assola, the CNSAS drone that interferes with his colleague Giorgio Viaana, and the process – including searching for any sign of the lost roaming, discovering his body and restoring it, and stopping the weather due to bad weather – less than three days.

Recovery operations

With his back to the ground, his mountain installed outlook was found, 600 meters below the top, the 64 -year -old doctor Leguri was found on Thursday morning, July 31, more than 10 months after his disappearance, thanks to his helmet that clashed with the rest of the landscape.

“It was the artificial intelligence program that identified some of the different pixels units in the images taken on Tuesday,” explains, Isola, as it rebuilt the process step by step, in the maximum discovery and restoration of the remains at an altitude of about 3150 meters, at the far right of the three valleys that were cut on the northern face of Menvis, over hanging hanging.

The team collected all the photos within five hours with drones only on Tuesday morning, July 29, and analyzed them using the artificial intelligence program during the afternoon of the same day. By that evening, rescuers had already had a series of “suspicious sites” to verify. Only fog and bad weather the next day led to delaying operations.

“We woke up at four in the morning to reach a very far point with a good vision on the channel where the red pixels were discovered, and we used the drone to see if the helmet was already,” says Isola. “Then we took all the necessary photos and measurements, and we send information to the Rescue Coordination Center, which then managed to send a fire brigade helicopter for recovery and police.”

Artificial intelligence role

Each drone operation is part of a strict method developed by CNSAS in coordination with EnacThe National Agency, which oversees civil aviation. “We used to use drones for about five years, and for about a year and a half, we were integrating color and shape recognition techniques, and developing them month after a month,” ISola explains. “But all of this will be useless without the difference from technicians.”

Information from the IVALDO cell phone was instantly unable. The pilots of drones that sneaked in the area helped and found four mountain rescuers experts. “It is a human achievement, but without technology, it could have been an impossible task. It is a success in the team.”