Waste Segregation is one of the common challenges being faced by recycling facilities because there is no effective automated waste segregation system as it costs high labor, and the process is time-consuming. There are a lot of machine learning algorithms which can be work for image classification from which the efficient one is CNN. Our system is expected to do effective waste segregation based on different five waste classes using CNN and then the designed hardware running on a motor control will be efficiently segregating it into the specified bins.
Keywords: waste segregation, Trash selector, Image Processing, CNN, Recycling.
Tools: Image Classification,CNN,Motor Driven Circuit
Department: Department of Electrical Engineering
Tools: Image Classification,CNN,Motor Driven Circuit
Department: Department of Electrical Engineering