A Fuzzy Inference for Plate Classification

One of the sectors affected by rapid developments in technology and epidemics is the food and beverage sector. Especially with the Covid-19 pandemic, the use of robots in this sector has become important and has become increasingly widespread in order to keep human contact at the minimum level. Businesses such as restaurants, hotels and catering companies, which are the pioneers of the food and beverage service industry, have started to use robots more effectively to fulfill the tasks performed by their staff. The dishwashing room, which is one of the units where robots are used in the service sector, is important in terms of both reducing the interaction of people with dishes as much as possible in terms of health and time saving by washing the dishes quickly and classifying them according to their types. Therefore, in this study, classification and separation process of tea, dessert, dinner and salad plates with known width and depth dimensions of the surface according to their types was carried out by using the triangular and gaussian membership functions with Mamdani fuzzy interference metod.