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

• Autores: Benavides Canchari, Michelle Haydee, Salcedo Gonzalez, Mariam Corayma, Caceres Aldana, Estefanny Yessica, Lazo Tapia, Wilson Anthony, Chipana Gago, Diana Paola
• Formato: tesis de grado
• Fecha de Publicación: 2024
• Institución: Universidad Continental
• Repositorio: CONTINENTAL-Institucional
• Lenguaje: inglés
• OAI Identifier: oai:repositorio.continental.edu.pe:20.500.12394/14446
• Enlace del recurso: https://hdl.handle.net/20.500.12394/14446; https://doi.org/10.1145/3625156.3625188
• Nivel de acceso: acceso abierto
• Materia: Medidas de seguridad; Detectores; https://purl.org/pe-repo/ocde/ford#5.02.04

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.