Neural networks to boost safety at airports and train stations

02 February 2023

Scientists in St. Petersburg applied a new version of artificial intelligence to boosting safety at airports, train stations and like places. The solution comes from a team that brings together researchers from the St. Petersburg Federal Research Center, St. Petersburg State University, and their colleagues from the Novosibirsk State University in Siberia.

Whether it’s safe enough for passengers and workers to be at a train station, airport, subway station or industrial site hinges to a considerable extent on whether the relevant personnel like dispatchers and information/alert services feel fit physiologically to do the job. The scientists developed their proprietary computer vision technology to lower the risk of hazardous situations at such sites.

The new software uses a neural network to analyze one’s fatigue, drowsiness, hunger and other physiological states. It is expected to anticipate the staff’s overexertion caused by whatever reason may apply here, and improve safety across transportation and industrial facilities.

Source
Related news
Game software working group to be established in Russia — expert
Sberbank has no critical dependencies on Western suppliers — CEO
Number of Russia’s IT industry employees rises by 12% in 2022