AUTOMATIC GARBAGE CLASSIFICATION SYSTEM BASED ON DEEP LEARNING

Abstract

The waste analysis process promotes wastetoenergy production, waste reduction, recycling and waste reduction. Improper disposal of waste can lead to reinfestation. Contamination is a big problem for the recycling industry and can be solved with computerized destruction. The existence of patterns or techniques to help people separate waste becomes crucial for proper disposal. Although there are many types of recycling, many people are still confused or do not know how to choose the right source to deal with all types of waste. Waste management and distribution systems are thought to play an important role in ecological development worldwide. Organizations should reduce waste by recycling and reusing waste materials, thus reducing environmental problems. The project uses deep learning to create a waste detection system that will collect waste images or videos from cameras by recognizing, detecting and predicting objects and identifying waste materials such as cardboard, glass, metal, paper and plastic. . and proper disposal of waste using recyclable and non-recyclable materials.