Design of an AI Based Robotic System for Waste Sorting

The ongoing economic expansion in many nations is causing a rapid increase in the amount and makeup of solid waste. The waste management system now faces significant challenges in guaranteeing efficient and environmentally responsible solid waste management due to variations in waste quantity and composition. In 2016, the globe produced about 2.01 billion tonnes (BT) of solid trash; by 2030, that amount is expected to rise to 2.58 BT, and by 2050, it will reach 3.40 BT. Only one-fifth of the garbage produced is currently handled; the remainder is disposed of in landfills untreated. When all of the components of solid waste are carefully separated, the maximum economic advantage is achieved. Segregating garbage at the source greatly reduces the complexity of waste treatment facilities. At the home, workplace, college, and industrial sectors, there is no system in place for separating dry, wet, organic, plastic, and metallic garbage. Therefore, the purpose of this study is to design, build, and test an automated trash separation system that is simple to use and reasonably priced for households and small local communities so that waste can be sent straight to waste management facilities. The time and expense of segregation are reduced by this technology, which also reduces human meddling. This system effortlessly divides solid trash into three primary categories— metal, dry, and wet—using an Arduino UNO and a variety of sensors.