IOT-based smart luggage carrier for airport convenience / Siti Maryam Mohd Ibrahim

The aviation industry is one of the areas which have a solid potential to benefit from the Internet of Things (IoT) and its technologies. At the same time, the logistics system is believed to be very important for many industries and business solutions to solve transportation problems and fix all expenses, including in the airport environment. Airports are increasingly implementing new technologies in their systems to make travellers' journeys more enjoyable and smoother. Currently, airports are using the manual trolley as an alternative to help travellers' manage more than one piece of luggage for their trip. However, dragging heavy luggage for a long distance could be tiresome and challenging, especially for old folks. This project presents the solution for luggage management without human intervention in an airport. The Smart Luggage Carrier can carry loads and follow the user simultaneously with IoT implementation. This project's primary objective is to reduce human effort in handling luggage and increase their productivity at the airport. This project also applies the use of a vibration sensor and an ultrasonic sensor to increase the carrier's efficiency to secure and follow the user. To effectively secure the luggage while the owner's dismissal, a feature of sending an alert message to the owner if theft happens is also highlighted. On top of that, there will be a website to act as User Interface. This website will transfer instructions from the user to the server, then from the server to the microcontroller. In a nutshell, a prototype system has been developed and successfully tested. Including usability and performance testing to ensure the system can perform well in real time. The usability testing results showed that the sensors serve the purposes of detecting distance and vibration to provide a smart feature. The microcontroller is also well functioned to send alert messages and connect with the server. As for the performance testing, the results indicate that the website is not ready to be run on all browsers but will perform better in Mozilla Firefox browser version 89 in Windows 10 and 7 rather than Google Chrome and Microsoft Edge. However, the website is more compatible using Google Chrome version 91 and Microsoft Edge version 91 for macOS Big Sur. Hence, future researchers can enhance the project to function efficiently and smoothly.