TY  - BOOK
AU  - Riaz, Arslan 
AU  - Supervisor Asst Prof Aimen Akif
TI  - Smart Parking System Based on IOT (SPS)
U1  - 621.382,RIA 
PY  - 2023///
CY  - MCS, NUST
PB  -  Rawalpindi
KW  -  UG EE Project
N1  - This project provides a convenient and efficient way to monitor the availability of parking spots in real-time, reducing the time and effort required for drivers to find an empty spot. The system can be easily deployed in parking lots, garages, and other locations, making it an ideal solution for modern urban environments. This project implements a smart parking system that can monitor the
availability of parking spots in real-time. The system uses QMC5883L magnetometers. The QMC5883L magnetometers are placed under each parking spot and detect changes in the Earth's magnetic field caused by the presence of a vehicle. The NodeMCU ESP8266 microcontrollers are used to read the data from the sensors and send it to the server. On the server side, a PHP script is
used to receive the data and store it in a MySQL database. A web application built with HTML, CSS, and JavaScript is used to display the parking status in real-time. The application fetches the data from the server using AJAX requests and updates the user interface accordingly. By providing real-time parking status updates, our system can help drivers save time and reduce
frustration by directing them to available parking spots. This can also reduce traffic congestion, as drivers no longer need to drive around searching for a parking spot, thereby contributing to a greener environment by reducing fuel consumption and air pollution.
Additionally, our project utilizes a cost-effective and low-power sensor (QMC5883L magnetometer) and a popular and widely available microcontroller (NodeMCU ESP8266), making it easy to implement in different settings and environments. Overall, our smart parking system offers a practical and efficient solution to a common problem and has the potential to benefit both drivers and parking management personnel alike
ER  -