Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12394/14446
Title: Approach to the Luxand Face Facial Recognition System Aimed at the Detection of People in the Criminalistics Unit of the PNP In Huancayo City, Peru
Authors: Benavides Canchari, Michelle Haydee
Salcedo Gonzalez, Mariam Corayma
Caceres Aldana, Estefanny Yessica
Lazo Tapia, Wilson Anthony
Chipana Gago, Diana Paola
metadata.dc.contributor.advisor: Chipana Gago, Diana Paola
Keywords: Medidas de seguridad
Detectores
Publisher: Universidad Continental
Issue Date: 2024
metadata.dc.date.available: 10-Apr-2024
Citation: Benavides, M., Salcedo, M., Caceres, E., Lazo, W. y Chipana, D. (2024). Approach to the Luxand Face Facial Recognition System Aimed at the Detection of People in the Criminalistics Unit of the PNP In Huancayo City, Peru. Tesis para optar el titulo profesional de Ingeniero Empresarial, Escuela Académica Profesional de Ingeniería Empresarial, Universidad Continental, Huancayo, Perú.
metadata.dc.identifier.doi: https://doi.org/10.1145/3625156.3625188
Abstract: Throughout Latin America, citizen security has been negatively affected, due to the increase in criminal acts and the lack of optimal management of the security system in the different countries, in addition to the deficiency of technological equipment that covers all needs of the police forces to fulfill their obligations. In Peru, one of the aspects that most harms citizen security is the lack of a video surveillance system that provides people detection functions. That is why the objective of this article is to efficiently influence the improvement of the process of detecting people in the criminalistics unit of the PNP (Peruvian National Police) in Huancayo city, Peru. For this research, the Engineering - Cascade Model methodology was used, which confers four stages: requirements analysis, design, construction, and testing. Regarding the results, the Degree of similarity indicator reached a value of 89% and the Police relationship with the community indicator obtained a result of 93%. When making the comparison with a high-level investigation, similar results were observed, which shows the reliability of our article. With this, we can conclude that the implementation approach of the Luxand Face facial recognition system in the criminal unit really had a significant effect on the detection of people, being considered an advanced technology project that meets the needs of citizen security.
metadata.dc.relation: https://dl.acm.org/doi/10.1145/3625156.3625188
Extension: p. 215–223
metadata.dc.rights.accessRights: Acceso abierto
metadata.dc.source: Universidad Continental
Repositorio Institucional - Continental
Appears in Collections:Tesis

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