DESIGN AND IMPLEMENTATION OF AN AUTOMATIC STREET LIGHTING SYSTEM USING IOT
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DESIGN AND IMPLEMENTATION OF AN AUTOMATIC STREET LIGHTING SYSTEM USING IOT
Chapter One: Introduction
1.1 Background of the Study
The study is based mostly on the Internet-of-Things paradigm, as mentioned in the topic.
The Internet of Things (IoT) is a relatively new technology built on artificial intelligence and, more particularly, machine learning. The Internet of Things paradigm has been applied in a variety of applications, including smart homes, offices, and hospitals.
In this example, we wish to implement this technology on the street through an autonomous street lighting system.
The street lights will operate as unmanned devices, which means there will be no need for human interaction to turn them on, minimising human effort while enhancing efficacy.
The street lights are created using the greatest machine learning algorithms to recognise when the lights need to be switched on, as well as various internet-based technologies to trigger them to turn on at specific times of day.
1.2 Statement of the Problem
Security is especially vital at night, necessitating the installation of a brilliant lighting system in the shape of a row of street lights. We intend to use the Internet of Things paradigm to address this issue, particularly in underdeveloped countries.
1.3 Motivation for the Study
The issue of nighttime security for pedestrians and motorists is a common motivator. Another driving element is the relative ease of use once it has been implemented.
1.4 Aims and Objectives of the Study
1.4.1 Aims of the Study
The goal(s) of the study include:
1.4.2 Study Objectives: Developing a Smart Street Light System utilising IoT.
The study’s aims include:
Taking a comprehensive look at the IoT paradigm
Examining research papers from earlier studies conducted in a variety of other fields, but using the IoT paradigm.
1.5 Outline of Methodology
This idea and project were implemented using UART (Ardino) and the MPLAB IDE. The programming language utilised here is C.
1.6 SCOPE OF THE STUDY
This study now focuses on a single street light. It is a prototype that can be scaled up and used on important streets around the country. It is on a limited scale due to the amount of labour and time necessary in developing a large-scale streetlight automation system.
1.7 Significance of the Study
The study is significant because the Internet of Things (IoT) is a scalable system that can be readily programmed to produce masterpieces, such as the smart street light system.
1.8 Operational Definition of Terms
INTERNET-OF-THINGS: This mainly refers to a physical network of connected devices with embedded software and technology that can communicate and interact with humans.
ARTIFICIAL INTELLIGENCE: Artificial intelligence, or AI, refers to machine intelligence as opposed to human natural intellect.
Artificial intelligence allows machines to execute cognitive activities normally associated with humans.
Machine learning is a subset/application of artificial intelligence. It researches and builds algorithms that can learn and improve themselves over time. An ideal smart home should be able to develop as consumers continue to utilise the system.
IOT ECOSYSTEM: This is a large network of connected and interdependent equipment and technology that are used by specialists to achieve a certain aim.
A smart streetlight is a public lighting fixture that uses technology like cameras, light-sensing photocells, and other sensors to provide real-time monitoring capabilities.
1.9 Organisation of the Project
Chapter One provides a quick summary of the project design components, including the problem we will be solving, reasons, and objectives. The second chapter looks at similar research work in the IoT paradigm.
We investigate the benefits and downsides of building such a system. In Chapter Three, we will look at the system architecture and modules in further detail. The implementation is then shown in Chapter Four, which includes the many tools used.
It also displays the results of the tests that were conducted. Chapter Five concludes the project work with a summary, conclusions, and recommendations for future research.
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