Proposal for the Implementation of a Facial Recognition Mobile Application to Search for Missing Persons Oriented Towards University Students

Proposal for the Implementation of a Facial Recognition Mobile Application to Search for Missing Persons Oriented Towards University Students

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© 2024 by IJETT Journal
Volume-72 Issue-7
Year of Publication : 2024
Author : Lida Asencios-Trujillo, Lucia Asencios-Trujillo, Carlos La-Rosa-Longobardi, Djamila Gallegos-Espinoza
DOI : 10.14445/22315381/IJETT-V72I7P107

How to Cite?

Lida Asencios-Trujillo, Lucia Asencios-Trujillo, Carlos La-Rosa-Longobardi, Djamila Gallegos-Espinoza, "Proposal for the Implementation of a Facial Recognition Mobile Application to Search for Missing Persons Oriented Towards University Students," International Journal of Engineering Trends and Technology, vol. 72, no. 7, pp. 69-74, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I7P107

Abstract
Currently, the issue of missing persons is a growing concern in our country. Every day, there are increasing reports of individuals, ranging from young children to the elderly, going missing. Unfortunately, many of these individuals are never found due to the significant challenges faced by authorities in conducting effective searches. This research aims to address this problem by implementing a mobile application leveraging facial recognition technology to assist in locating missing persons, specifically targeting university students. To develop this application, we utilized a flexible methodology designed to gather essential data, provide an introduction to face detection, and demonstrate the application’s functionality. We created prototypes to simulate the application's operation, which were then tested by a selected group of university students. The feedback from these students was overwhelmingly positive, indicating the feasibility and potential success of this project.

Keywords
Disappearance of people, Facial recognition, Mobile app, Facial recognition, Missing persons.

References
[1] PERÚ, Mininter: 2020 Figures Indicate that 57% of Missing Persons Are Girls, Boys and Adolescents, 2021. [Online]. Available: https://elcomercio.pe/peru/mininter-revela-que-el-57-de-personas-desaparecidas-en-el-2020-son-ninas-ninos-y-adolescentes-nnpp-noticia/
[2] Mininter: 57% of Missing Persons in 2020 are Girls, Boys and Adolescents, 2020. [Online]. Available: https://andina.pe/agencia/noticia-mininter-57-personas-desaparecidas-2020-son-ninas-ninos-y-adolescentes-838767.aspx
[3] Defensoria del Pueblo Peru, Press Release No. 302/OCII/DP/2021, 05/03/2021, 2021. [Online]. Available: https://www.defensoria.gob.pe/nota_de_prensa/nota-de-prensa-n-302-ocii-dp-2021/
[4] Barreto Rodriguez, Robert Marcos, Lizarraga Mendoza, David Jesus, Facial Recognition System Model for Human Trafficking Control, 2019. [Online]. Available: https://repositorio.utp.edu.pe/handle/20.500.12867/2063
[5] Libia Karina Gonzales Marin, Facial Recognition Model Using Augmented Reality in Mobile Applications for The Identification and Location of People, La Paz, 2016. [Online]. Available:
https://repositorio.umsa.bo/bitstream/handle/123456789/7662/T.3104.pdf?sequence=1&isAllowed=y
[6] Camilo Andres Carrillo Niño, Sebastian Benitez Diaz, Yeltsin Felipe Rivera Cruz, Yezid Enrique Donoso Meisel, Degree Project Document People Search System through the Use of Drones, M2M Applications and Image Recognition System, 2019. [Online]. Available: https://repositorio.uniandes.edu.co/entities/publication/cd1cee8d-42b2-4c3f-9659-3dc9ee6db82a
[7] Ministry of Justice and Human Rights General Directorate for the Search for Missing Persons, 2021. [Online]. Available: https://www.gob.pe/11872
[8] Francisco Morcillo Vizuete, Development of a Facial Recognition System Using Deep Learning with OpenCV, 2019. [Online]. Available: https://riunet.upv.es/bitstream/handle/10251/156694/Morcillo%20-%20Desarrollo%20de%20un%20sistema%20de%20reconocimiento%20facial%20utilizando%20Deep%20Learning%20con%20OpenCV.pdf;jsessionid=6486DA48FB9AE95C0F0064477D358F88?sequence=1
[9] Reconocimiento Facial, Law Enforcement Agencies Use Computerized Facial Recognition, A Relatively New Technology, to Identify Persons of Interest for an Investigation, 2015. [Online]. Available: https://www.interpol.int/es/Como-trabajamos/Policia-cientifica/Reconocimiento-facial