A.S. Vyugina¹, E.I. Kublik², M.S. Chipchagov³, A.I. Labintsev⁴

1,2 Russian Technological University MIREA (Moscow, Russia)

2−4 Financial University under the Government of RF (Moscow, Russia)

This work reflects the results of an automated city security system based on the analysis of sound data development. In this case, the development of an automated system with the implementation of the analysis of sound data through the training of a third-generation neural network using deep learning methods is considered. The main goal of developing an automated system was to automate the work of police patrols to identify disturbing events on the streets of the city and prompt intervention to stop them. As a result of the research, design and implementation of the automated system, a minimum viable product was created.

Vyugina A.S., Kublik E.I., Chipchagov M.S., Labintsev A.I. Automated city security systems based on sound data analysis. Information-measuring and Control Systems. 2022. V. 20. № 6. P. 50−57. DOI: https://doi.org/10.18127/j20700814-202206-06 (in Russian)

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