The aim of this study is to recognize garbage with artificial intelligence, open the lid of the relevant box according to the type of garbage and ensure that individuals exhibit correct behavior. Thanks to the cameras and artificial intelligence to be placed in front of the recycling bins, the garbage will be separated and only the lid of the garbage bin that needs to be thrown will be opened depending on the type of garbage. Separating waste in advance prevents waste of time and energy. If we accept that these are millions of tons of waste, we think that by ensuring that the waste is pre-separated and delivered to these facilities, we will reduce the carbon footprint and save money by using the electrical energy and human labor used in these facilities. It ensures that facilities are used more efficiently and prevents damage to the environment. Electronic circuit boards, servo motors and cameras were used in the design of the project. Pictoblox program and its integrated Machine Learning Environment plug-in were used as software. Codes were written in Pictoblox. With the Machine Learning Environment plug-in, waste was recognized by artificial intelligence. So the machine has been trained.