An Embedded Fuzzy Logic Based Smart Street Lighting System

There is a move towards a real-time street light system that can respond to the surrounding environment or actions providing a safe nighttime environment for all road users including foot-travellers. Such street light systems are mainly controlled on the basis of a combination of sensor technologies. However, most of the current systems in Kigali are based on thresholds which may lead to errors leading to increased costs and energy wastages. This study, therefore, presents a prototype of Arduino based fuzzy logic controlled smart street lighting system so as to overcome the challenges. The study aims to implement fuzzy logic on Arduino as compared to existing solutions that depend on cloud-based solutions which are a challenge implementing in Africa. In the proposed solution PIR sensor and an LDR are used for data collection, based on the collected data, an Arduino microcontroller embedded with a Fuzzy Inference System (FIS) computes whether the lights should be ON, DIM OR OFF and an appropriate voltage is supplied. The solution was simulated on proteus and a protoype developed. The results show that the implementation of a fuzzy inference system in Arduino did not effects its functionality of the FIS.