"Lisa Alert" is a community of people united by one goal - the search for the missing. Lisa Alert doesn't have any bills or internet wallets. Everyone who takes part in the search one way or another does it voluntarily and from the heart. During these more than two years, community members traveled hundreds of times in search, dozens of people were found alive and returned home.
2025: "LizaAlert": The neural network for the first time overtook a person in the number of people found
In May 2025, it became known that the neural network of the LizaAlert search and rescue squad in 2024 for the first time overtook a person in terms of the number of people found when analyzing photos from drones. The chairman of the search and rescue squad, search coordinator Grigory Sergeyev spoke about the achievement of artificial intelligence in the search for missing people.
According to TASS, the idea of creating a neural network to search for missing people appeared in 2019, when it became clear that visual eye searches were too slow. Until 2022, the neural network worked with a certain efficiency, but the results seemed insufficient to the system developers.
The National Technology Initiative announced the Emergency Search competition, at which programmers developed a neural network for recognizing a person in the natural environment. The competition was held jointly with the Moscow Institute of Physics and Technology, the LizaAlert detachment and the Center for the Search for Missing People.
In 2024, the neural network for the first time surpassed live search engines in terms of efficiency in terms of the number of people found. Grigory Sergeyev called this achievement a breakthrough of the organization and stressed plans to further improve technology.
The search system is as follows: the drone flies over the area and photographs the alleged locations of the missing people. The unit operates a special group of 250 people trained to view images from drones.
It takes a person at least 2 minutes to view one picture, sometimes up to 10 minutes, depending on the complexity of the landscape. Up to 10 thousand pictures can come from one search, and there can be several searches a day, which requires a huge amount of time.
The neural network analyzes one picture in 1-1.5 seconds, which is tens of times faster than the human eye. After achieving efficiency comparable to human vision, the organization significantly improved the results of search operations.
The technology for sorting photos from drones "Beeline AI - Search for People" was developed to detect the search and rescue squad missing by volunteers. The solution allows you to reduce the time for analysis and sort uninformative images.[1]
2024: Using drones with neural networks to automatically search for missing people
Search and rescue squad "LizaAlert" began to use drones with neural networks to automatically search for missing people. This technology has already demonstrated its effectiveness. In September 2024, in the Pskov region, using drones with neural network analysis, it was possible to find a missing pensioner who spent more than 197 hours in the forest. Thanks to modern technologies, analysis of photographs taken from the air can significantly reduce search time and increase the chances of successful rescue.
A 73-year-old woman named Tamara Sergeevna disappeared near the village of Zhuravlev End. Local residents, employees, MINISTRY OF EMERGENCY SITUATIONS police and volunteers took part in the search. Drones were also involved, images of which were processed by a neural network. One of these pictures made it possible to find the missing woman - she was discovered thanks to bright spots on the background of greenery, which the neural network highlighted in the image. The coordinator of the LisaAlert detachment, Victor, said that the pensioner noticed the drone and began to wave a bucket at him, which attracted the attention of the system.
The use of drones with neural network technologies is an important step in the development of search and rescue operations. According to Yevgeny Gerasimov, head of the unmanned aviation department of the LizaAlert detachment, artificial intelligence allows you to significantly speed up the analysis of photographs. On average, AI processes one image in 0.3 seconds, which significantly increases the speed of rescuers and allows you to respond faster to difficult situations. Previously, such processing took a long time and required the participation of people to analyze all the pictures.
LisaAlert is actively using drones to find people lost in hard-to-reach places. This allows you to reduce the search time and survey huge areas in a short time. For example, a foot group of five can go around a square of 500 500 meters in 6 hours, while a drone copes with this task in just one hour, the group said.[2]
2019: Putin backs creation of database of patients with unidentified identity
Russian President Vladimir Putin supported the creation of a database of patients with an unidentified personality - people in hospital with memory loss. Read more here.
2010: "Lisa Alert" Community Formation
The detachment appeared in the fall of 2010, when little Lisa disappeared in the forest near Moscow. They did not have time to save the child, she died in the forest from hypothermia. Then the volunteers decided to unite in a detachment. Learn to look more effectively, use modern technologies, help those who find themselves in a terrible situation - a loved one has disappeared.
Notes
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