A team of scientists from Russia and Uzbekistan has developed a neural network for automatically recognizing street violence in footage from surveillance cameras. This was reported by the press service of the South Ural State University (SUSU).
The problem was that street surveillance cameras generate a huge stream of data that overloaded the existing neural networks developed for surveillance cameras installed indoors. The resulting neural network recognizes more than 98% of cases of street violence recorded by street surveillance cameras.
The new model uses multi-valued logic, including the values "yes", "no", and "undefined". The third value contains unique mathematical nuances. This allows the neural network to efficiently process a large stream of data.
The development is designed to improve safety in populated areas and can be successfully integrated into the "Smart City" system. The invention will improve monitoring and response to cases of violence in public places.
Earlier, www1.ru reported that in Moscow they created a neural network for calculating holograms — 3D-CGH-Net.
Read related materials:
Russia wants to train AI to create cancer vaccines
AI-based Russian Sign Language translator created in Russia
AI helped reduce mortality from vascular diseases in a Khabarovsk hospital
Now on home
The reason for indexation may be inflation, an increase in VAT, and rising production costs
The Ministry of Industry and Trade believes that the increase in the levy will not affect responsible manufacturers
Экипаж разогнал лайнер до 580 км/ч вместо крейсерских 450 км/ч
Ship equipment comes to Russia from China at inflated prices
Almaz-Antey and the Belarusian Ministry of Defense signed a contract for equipment maintenance
The complex's computing resources allow for the competent distribution of targets between launchers
Among the spacecraft are Aist-2T No. 1 and No. 2
Deputy Prime Minister Novak announced a postponement of the deadlines, but confirmed the commitment to developing the sector
Design engineers without experience are promised salaries from 80 thousand rubles
Hard and dense shot ensures the destruction of the target from the first hit, regardless of the drone's body material
Almost all body elements are zinc-treated
SOGAZ lost the case in court against UEC-UMPO