Implementation Automatic Segregation of Dry and Wet Garbage

The review paper focuses on the development and implementation of we propose an innovative solution in the form of an automated machine designed for the efficient segregation of dry and wet waste at the point of collection. The proposed system utilizes a combination of advanced sensors, mechanical sorting mechanisms, and machine learning algorithms to automatically distinguish and segregate dry (recyclable) waste from wet (organic) waste. The machine is equipped with infrared sensors, capacitive sensors, and weight sensors that enable it to detect the type and moisture content of waste materials.