Garbage classification is a social issue related to people's livelihood and sustainable
development, so letting service robots autonomously perform intelligent garbage …

As the rate of garbage generation gradually increases, the past garbage disposal methods
will be eliminated, so the classification of garbage has become an inevitable choice. The …

In recent years, garbage classification has become the focus of the world. YOLOv3 has good
real-time performance and accurate detection accuracy, which can meet the requirements of …

Garbage classification is difficult to supervise in the stage of collection and transportation.
This paper proposes a computer vision-based method for intelligent supervision and …

In order to safeguard the biological framework on which human creatures depend for
presence and make society feasible improvement, it is becoming increasingly important to …

In In the field of garbage intelligent identification, similar garbage are difficult to be effectively
detected due to different kinds of characteristics. This paper proposes a Skip-YOLO model …

At present, the main technology of garbage identification and classification is the use of
traditional machine vision algorithm or the use of sensors for screening and identification of …

At present, people's daily garbage is increasing day by day. How to intelligently classify
garbage can save manpower and improve work efficiency. In this paper, a garbage …

In the face of a wide variety and a large number of production and domestic waste, it is a
great challenge for the task of automatic detection and sorting of waste. Based on yolov5 …

It is of great significance to identify all types of domestic garbage quickly and intelligently to
improve people's quality of life. Based on the visual analysis of feature map changes in …