Author:
Mumtaz Zain,Ullah Saleem,Ilyas Zeeshan,Aslam Naila,Iqbal Shahid,Liu Shuo,Meo Jehangir,Madni Hamza
Abstract
We present an Arduino-based automation system to control the streetlights based on solar rays and object’s detection. We aim to design various systems to achieve the desired operations, which no longer require time-consuming manual switching of the streetlights. The proposed work is accomplished by using an Arduino microcontroller, a light dependent resistor (LDR) and infrared-sensors while, two main contributions are presented in this work. Firstly, we show that the streetlights can be controlled based on the night and object’s detection. In which the streetlights automatically turn to DIM state at night-time and turn to HIGH state on object’s detection, while during day-time the streetlights will remain OFF. Secondly, the proposed automated system is further extended to skip the DIM condition at night time, and streetlights turn ON based on the objects’ detection only. In addition, an automatic door system is introduced to improve the safety measurements, and most importantly, a counter is set that will count the number of objects passed through the road. The proposed systems are designed at lab-scale prototype to experimentally validate the efficiency, reliability, and low-cost of the systems. We remark that the proposed systems can be easily tested and implemented under real conditions at large-scale in the near future, that will be useful in the future applications for automation systems and smart homes.
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference60 articles.
1. The concept of automated process control;Oditis;Comput. Sci. Inf.,2010
2. Automatic electrical appliances control panel based on infrared and Wi-Fi: A framework for electrical energy conservation;Adetiba;Int. J. Sci. Eng. Res.,2011
3. Smart homes and their users: a systematic analysis and key challenges
4. A review of smart homes—Present state and future challenges
5. How Smart Is Your Home?
Cited by
26 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献