THE APPLICATION OF NEURAL NETWORKS IN THE ACCOUNTING OF SOLID MUNICIPAL WASTE

Chembarisov Emil Marsovich, Smetanina Olga Nikolaevna

The article is dedicated to the study of the potential of convolutional neural networks (CNN) aimed at enhancing the accuracy of data processing in the management of municipal waste. An analysis of the implementation of artificial intelligence as a means of accounting for the quantity and monitoring the transportation of waste in the Russian Federation and abroad has been conducted. An assessment of the advantages of implementing neural networks is provided.

Keywords:neural networks, convolutional neural networks, image processing, automated waste accounting, solid waste management, environmental safety.