Research Article

Suspicious Object Detection with Alarm Notification for Security Personnel

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Psych Educ Multidisc J, 2022, 3 (10), 975-989, DOI: https://doi.org/10.5281/zenodo.7024002, ISSN 2822-4353
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Abstract

This study aimed to develop a “suspicious object detection with alarm notification for security personnel”. The main objective of this study was to track or detect suspicious objects, analyze whether it was abandoned, and send a notification to the security personnel. A prototype methodology was used in the development of the system which employed an image processing methodology to analyze the video captured by the cameras. The image processing applied the background extraction, foreground detection, thresholding algorithm, noise reduction algorithm, tracking and detecting algorithm. The system was evaluated by 10 security personnel and 10 I.T. experts using the ISO 25010 criteria in terms of functional suitability, reliability, performance, efficiency, operability, security, compatibility, maintainability, and portability. The overall result of the evaluation was excellent which implied that the system met the standard criteria in system development.

Keywords Suspicious Object Detection Security Personnel Alarm Notification Prototype Methodology System Development
Author 1

The team behind this paper

1 author, 1 institution.

This paper West Visayas State University — Philippines West Visayas State Univ… 1 author Benjamin Cornelio — corresponding author BC Benjamin Cornelio ✉

Readership

313 reads over 33 months.

February 2024 October 2026

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This article is token #537 of SciMatic Articles (ERC-1155): 1,000,000 tokens, minted once, never more. The chain also stores a fingerprint (SHA-256) of the article's record, so anyone can check that it has not been altered.

HolderWalletTokens
SciMatic 0xc35709…277732 100,000 (10%)
Benjamin Cornelio 0x9bEa54…2484C2 900,000 (90%)
Content hash 0x5c7656c5c2cd1c3ca44363c237216084be305456eac3f8ae05eedfa453e666e6

Bibliographic Information

Benjamin Cornelio (2022). Suspicious Object Detection with Alarm Notification for Security Personnel , Psychology and Education: A Multidisciplinary Journal, 3(10): 975-989
Bibtex Citation
@article{benjamin_cornelio2022pemj,
author = {Benjamin Cornelio},
title = {Suspicious Object Detection with Alarm Notification for Security Personnel},
journal = {Psychology and Education: A Multidisciplinary Journal},
year = {2022},
volume = {3},
number = {10},
pages = {975-989},
doi = {10.5281/zenodo.7024002},
url = {https://scimatic.org/index.php/show_manuscript/537}
}
APA Citation
Cornelio, B., (2022). Suspicious Object Detection with Alarm Notification for Security Personnel . Psychology and Education: A Multidisciplinary Journal, 3(10), 975-989. https://doi.org/10.5281/zenodo.7024002

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