Abandoned Baggage Detection & Alert System Via AI and IoT
Authors: 
Zainal Hisham Che Soh, Khadijah Kamarulazizi, Kamarulazhar Daud, Irni Hamiza Hamzah, Zuraidi Saad, Syahrul Afzal Che AbdullahAuthors Info & Claims
Pages 205 - 209
Abstract
Nowadays, piece of unattended luggage there are like tens thousands of lost or left behind in the airports in every year. Due to this issue, this research work aims to develop a camera system that can detect the baggage or luggage and human and notify the authority via media social WhatsApp application when abandoned baggage detected. On top of that, Raspberry Pi 3 model B is used as a hardware where Pi camera is installed in the hardware. This research work is using deep learning method to perform the detection of the baggage and human. The Single Shot Multibox Detector (SSD) is used as the deep learning object detection algorithms for this research work to train the object detection model. The OpenCV and Tensorflow Library is a deep learning library is installed in the Raspberry Pi 3 model B minicomputer to perform the process of detection of the human and baggage. As a result, the Abandoned Baggage Detection and Alert System (ABDAS) able to detected human and baggage using computer vision and the system will notify the authority when the system detected an abandoned baggage through WhatsApp using Twilio Internet of Things (IoT) application software.
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Index Terms
- Abandoned Baggage Detection & Alert System Via AI and IoT
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Published In
February 2020
231 pages
ISBN:9781450376785
DOI:10.1145/3384613
Copyright © 2020 ACM.
© 2020 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.
In-Cooperation
- The University of Western Australia, Department of Electronic Engineering, University of Western Australia
- Macquarie U., Austarlia
- University of Technology Sydney
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 16 May 2020
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ICCAE 2020
ICCAE 2020: 2020 12th International Conference on Computer and Automation Engineering
February 14 - 16, 2020
NSW, Sydney, Australia
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