This paper is published in Volume-7, Issue-3, 2021
Area
Computer Engineering
Author
Jagrut Tawade, Ritik Yadav, Asheesh Yadav, Ritesh Tripathi, Manish Salvi
Org/Univ
Thakur Polytechnic, Mumbai, Maharashtra, India
Pub. Date
26 June, 2021
Paper ID
V7I3-2128
Publisher
Keywords
IoT (Internet of Things), QR Code, Street light, LDR (Light Dependent Resistor), LED (Light-Emitting Diode)

Citationsacebook

IEEE
Jagrut Tawade, Ritik Yadav, Asheesh Yadav, Ritesh Tripathi, Manish Salvi. QR based automatic damaged street light fault detection management system, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Jagrut Tawade, Ritik Yadav, Asheesh Yadav, Ritesh Tripathi, Manish Salvi (2021). QR based automatic damaged street light fault detection management system. International Journal of Advance Research, Ideas and Innovations in Technology, 7(3) www.IJARIIT.com.

MLA
Jagrut Tawade, Ritik Yadav, Asheesh Yadav, Ritesh Tripathi, Manish Salvi. "QR based automatic damaged street light fault detection management system." International Journal of Advance Research, Ideas and Innovations in Technology 7.3 (2021). www.IJARIIT.com.

Abstract

The IoT (Internet of Things) is a promising technology that mainly concentrates on the interconnection of devices or components to one another and the people. Street lights are the basic service that is important for both rural and urban cities over the globe. As the world is moving towards automatics so the project proposed in this paper is based on automatic street lights, which will switch ON automatically when there is dark outside, if there are few lights not working, we can easily get their information by having a QR code scanner on each pole which people can scan and submit the issues which will be directly sent to the local area corporation making it flexible for people to use it easily. Finding the faulty street light automatically is become an important milestone by using this technology. Whereas in this proposed work using QR this light working status is easily captured with minimum manual interaction.