Design of Intelligent Household Separated-Waste Containers Based on Deep Learning
Aiqin Lin, Fangfang Zhang · 2022
The separation of domestic waste is of great significance to the establishment of a good living environment and the maximum utilization of resources in cities. Besides, separation and recycling from the family has gradually attracted the attention of relevant government departments and researchers because the family is the source of domestic waste. Thus, in this paper, in view of the problems of the lack of knowledge of domestic waste separation and the lack of source separation, the overall design scheme of intelligent household separated-waste containers was formulated by using the technical characteristics of machine vision and the mechanical structure of household waste containers. An intelligent waste container system with image acquisition module, image processing module, waste separation module and control module was built, and the hardware was optimized and analyzed, and the design system was studied in practice.