Smart Bin for Incompatible Waste Items

In this paper, we present a generalized ontology based system to identify the necessary properties of products and objects and then make inferences of possible incompatibil- ities between them. This is designed in the context of waste management, where considerable volume of waste is present collectively and there may be chances of hazard or reduces the value of the recyclable waste. These inferences for the group of objects are performed based on the knowledge available locally without looking up from any external sources. Since, the global identification of objects is avoided, preservation of privacy is ensured, which is a concern in the field of pervasive computing. Our model can have applications in various domains. We have demonstrated it's application in the domain of waste management and discussed about other possible domains.