Sky Track: Event Driven Flight Passenger Luggage Tracking

DOI

10.2991/978-94-6239-707-1_5How to use a DOI?

Keywords

Barcode; Radio Frequency Identification; Baggage Detection; Airlines; Mishandling; Notification; Tracking; Database; Identification; Passenger Interface

Abstract

The most popular means of travelling around the world is air travel. Nevertheless, there is still a significant issue with baggage mishandling. Manual handling systems and barcode systems are limited by their software. They often do not inform the passengers but RFID-based solutions which automate tracking, they are costly, and complex to implement on a large scale. This research focused at solving these problems and introduces the application named as SkyTrack, which is an affordable system and real-time monitoring for traveller luggage within the airfield through the use of barcodes. The traveller will having a unique barcode allocated to each bag during the check in time of reporting. This barcode is scanned at different checkpoints during the baggage handling process. The software updates the baggage status in real-time within a strong backend database with the help of Event-Driven SMS Luggage Tracking Algorithm (EDSLTA) implemented in all the checks. Passengers receive mobile notifications through web or mobile SMS. At the same time, airline staff can track the overall movement of baggage using an admin portal designed for various user roles. SkyTrack improves operational transparency, reduces mishandling incidents, and increases passenger baggage safety. It keeps implementation simple and costs lower compared to RFID systems. This solution bridges the gap between low-cost manual systems and RFID automation by providing direct, real-time update on web or SMS notification on baggage status to both the passengers and airport staff. This study greatly improves the efficiency of airport baggage handling system.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - K. Baalaji
AU  - N. Fathima Sherne Shifna
AU  - Parisa Naga Pranav Raja
AU  - Parvatham Noshitha
AU  - Penjerla Likhil Sai Abhiram
AU  - Pittala Akash
PY  - 2026
DA  - 2026/06/18
TI  - Sky Track: Event Driven Flight Passenger Luggage Tracking
BT  - Proceedings of the International Conference on Recent Advances in Intelligent and Sustainable Technologies (RAIST 2026)
PB  - Atlantis Press
SP  - 47
EP  - 58
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6239-707-1_5
DO  - 10.2991/978-94-6239-707-1_5
ID  - Baalaji2026
ER  -