Sensors | |
An Automation System for Controlling Streetlights and Monitoring Objects Using Arduino | |
Naila Aslam1  Zain Mumtaz1  Zeeshan Ilyas1  Saleem Ullah1  JehangirArshad Meo2  HamzaAhmad Madni3  Shahid Iqbal3  Shuo Liu3  | |
[1] Department of Computer Science, Khwaja Fareed University of Engineering and Information Technology, Rahim Yar Khan 64200, Pakistan;Department of Electrical Engineering, COMSATS University Islamabad, Islamabad 45550, Pakistan;State Key Laboratory of Millimeter Waves, Department of Radio Engineering, Southeast University, Nanjing 210096, China; | |
关键词: Arduino; automation; energy consumption; low-cost; microcontroller; open source; streetlights; smart homes; sensors; | |
DOI : 10.3390/s18103178 | |
来源: DOAJ |
【 摘 要 】
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.
【 授权许可】
Unknown