Automatic Bag-breaking Classification and Collection System for Kitchen Waste Based on OpenCV

Abstract

Traditional kitchen waste disposal requires manual separation of plastic bags from food waste, which is cumbersome and unhygienic. However, the capacity, shape, and size of the plastic bags used to hold kitchen waste are different, resulting in an unstable bottom position of the plastic bags when putting them in. Therefore, it is difficult to break plastic bags of any size by using traditional mechanical devices. This paper introduces a computer vision-based automatic bag-breaking classification and collection system for kitchen waste, which aims to solve various pain points in the process of food waste classification and placement. The system involves computer vision, single-chip microcomputer, and internet of things (IoT) technology. When residents dispose of kitchen waste, they only need to hang the bag on the device, the system will visually judge the size and position of the plastic bag, and then control the motor to adjust the plastic bag to the corresponding position to break the bag, and the kitchen waste will fall into the kitchen waste in the garbage bin, it is judged by visual inspection whether the bag breaking is completed, and if it is completed, the plastic bag is thrown into another garbage bin.