Development of Intelligent Public Trash Can Based on Machine Vision and Learning

At present, with the maturity of machine vision technology and the continuous expansion of application fields, there have been many intelligent trash cans based on machine vision, which can realize certain garbage identification and automatic classification. However, due to certain technical limitations of machine vision, it is impossible to identify all garbage. In this paper, a smart public trash can based on machine vision and auxiliary sensors is proposed. In addition to realizing machine vision to identify and automatically classify garbage, sensors will also be used to assist in identifying garbage to solve problems such as the same garbage classification of different shapes. At the same time, enhanced learning will be added to realize the self-learning of the trash can, so as to achieve the goal of continuously increasing identifiable types.