PARKED CAR TRACKER IN SHOPPING MALL VIA QR CODE

Kuan, Zhen Yang (2020) PARKED CAR TRACKER IN SHOPPING MALL VIA QR CODE. [Final Year Project Report] (Unpublished)

	PDF Kuan Zhen Yang - 24 pgs.pdf Download (729kB)
	PDF (Please get the password by email to repository@unimas.my , or call ext: 3914 / 3942 / 3933) Kuan Zhen Yang.pdf Restricted to Registered users only Download (3MB)

Abstract

Parked Car tracker is a kind of car tracking system that helps the user to locate their car parked in the car park. This tracking system is demanded in a shopping mall. Users tend to have a problem tracking their parked cars due to unfamiliar with the building structure of the shopping mall car park or have a bad memory. The presence of a car tracking system can solve the problem and thereby improve the shopping experiences of users in that shopping mall. Nowadays, the Internet of Things (IoT) grows rapidly. This leads the IoT platform to more robust that allow the implementation of IoT platform in a more complicated application such as image processing. In this proposed system, the car tracking system is an IoT based platform. This proposed system used a single-board computer, Raspberry Pi to recognize and track the parked car through cameras installed within the car park area. Related departments such as security staff can locate a car in the car park with a proposed system after login car park website with their staff account. QR Code is implemented in this proposed system to ease the user to locate a parked car. They can scan the QR Code printed on the parking ticket to retrieve the result of the parked car location. This method is easier and faster than the user manually launch the car park website in a web browser.

Actions (For repository members only: login required)

View Item