Design & Development of a Prototype Intelligent Blind System Using Fuzzy Reasoning

Abstract

Thanks to cyber-physical systems (CPSs) and enhanced AI techniques, the ``everyday things'' in our environment have become increasingly intelligent in recent years in the aspects of Automation of Everything (AoE). An IoT application for a smart blind system (SBS) using fuzzy logic to intelligently adjust to an optimal position based on data from local sensors, Wisdom-as-a-Service (WaaS) and Insight-as-a-Service (InaaS) from smart domains and customer preferences has been developed. Testing of this system as a proof-of-concept yields promising results, as the fuzzy logic can effectively control the blind to a position that is desirable under the given environmental conditions. Further, all the input data is utilised productively, ensuring that decisions made by the system are well-informed. Compared to competitors' offerings, the proposed system offers superior performance due to its extensive input consideration and the precise design of the fuzzy logic for automated decision-making.