… in efficiency of garbage processing solution and to classify non-recyclable garbage because
it is very difficult to get a waste separation process which classifies garbage with 100% …

… on deep learning technology by using CNN to build garbage … the accuracy and speed of
garbage image recognition. Lastly, … Separated file. In this dataset, the targets are specified as …

… a structural design of the garbage management system utilizing the deep learning paradigm.
The … Using deep learning to identify images is a clever method of separating biodegradable …

… This paper proposed an automation separation on Bio-degradable and Non-Bio degradable
waste separation using ssd deep learning techniques with custom object detection for …

… , damage or dirt etc., making positioning difficult without proper separation techniques in
place.To overcome these challenges we propose combining conveyor belt separation …

… generation has increased exponentially along with garbage diversity. In this paper, we
propose a hardware solution for garbage segregation at the base level based on deep learning …

… incorrect garbage separation, we propose using an automated system to correct the waste
classification. We studied in-depth learning … We have used deep learning approaches for our …

… deep learning-based classifier and cloud computing technique to realize high accuracy waste
classification at the beginning of garbage … sure that the waste separation at the source is …

… vision technology, deep learning methods have gradually … of glass and metal in garbage
bags by training convolutional … , deep learning has been successfully applied in separation …

… caused by unseparated garbage, classification systems for garbage separation have become
… SYSTEM INTRODUCTION We used trained deep learning models and other algorithms to …