A rational way of sorting municipal solid waste

Abstract

The article provides a brief overview of the most popular and promising methods of sorting municipal solid waste, attention is paid to automated systems for recognizing garbage objects during sorting, and in particular, their high cost with relatively low efficiency. The problem of using high-cost systems for recognizing waste objects by the payback factor with a low content of useful components in the total mass of garbage has been identified. A method of an automated garbage sorting system is proposed and described, in which a person is used as a system for recognizing garbage objects. This method significantly reduces the cost of electron-optical and tactile detectors that recognize garbage objects, while not requiring a huge database to compare 3-d images. At the same time, the recognition accuracy increases significantly, and the cost of the process of recognizing garbage objects on the conveyor is significantly reduced, which in general ensures a quick payback of the garbage sorting system. It is proposed that such a system be used as an intermediate stage in the improvement of image recognition systems for sorting garbage objects.. The approach of using the human ability to recognize as a more economical method to recognize waste objects when sorting them in robotic systems is proposed. At the same time, comfortable working conditions are provided for a person, a sorter operator, who recognizes and encodes each sorting object remotely from garbage using video cameras and a high-resolution monitor. A variant of such a sorting system using mechanotronics is described.