Smart Street Lighting System with Adafruit Cloud
Velivala Pavan Karthik1, Lalithkalyan Anirudh Pusuluri2, Ravi Kumar C.V.3
1Velivala Pavan Karthik*, School of Electronics Engineering (SENSE), B. Tech, ECE with specialization in Internet of Things and Sensors, Vellore Institute of Technology, Vellore, India.
2Anirudh Lalithkalyan Pusuluri, School of Electronics Engineering (SENSE), B. Tech, ECE with specialization in Internet of Things and Sensors, Vellore Institute of Technology, Vellore, India.
3Ravi Kumar CV, School of Electronics Engineering (SENSE), Senior Assistant Professor, Vellore Institute of Technology, Vellore, India.
Manuscript received on March 15, 2020. | Revised Manuscript received on April 02, 2020. | Manuscript published on April 10, 2020. | PP: 1498-1503 | Volume-9 Issue-6, April 2020. | Retrieval Number: F4357049620/2020©BEIESP | DOI: 10.35940/ijitee.F4357.049620
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Street Lights consume a lot of power overnight, even though they do not appear to. This paper describes a way to reduce that power consumption while also storing the data in the cloud. In a fast trending world, storing data on the cloud is good for better maintenance and monitoring. This paper also gives a method to control the lights remotely, if required. The lights will be ON in the evening from dusk, and will remain ON in high density traffic areas, till late night. Then, the time when traffic reduces, lights will start working autonomously. This traffic intensity and timings will vary from place to place. These street lights communicate via the fields in the cloud, and will ON the lights before the vehicle even reaches the next area, for a safe margin and to prevent accidents. The main aim of this proposal is to not only reduce power consumption of unused street lights at night, but to also implement it with the help of a cloud to get data for future implementations, which will help make a better cloud-based system in the future.
Keywords: Adafruit Cloud, IR Sensors, Node MCU or ESP8266, MQTT (Message Queuing Telemetry Transport).
Scope of the Article: Smart Sensors and Internet of Things for Smart City