IMPLEMENTATION OF A FACIAL RECOGNITION SYSTEM IN POLICE INVESTIGATIONS
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Facial recognition systems are built on computer programs that analyze images of human faces for the purpose of identifying them. It is a barometric system that can be used passively, that is, without the knowledge, consent or participation of the subject. The goal of this study will try to identify, define and develop the procedures and requirements necessary to implement a use case that allows to put into operation a facial recognition system, based on open sources. In essence, the operation will consist of introducing an image of a person concerned, the system will perform a double task. First of all it will carry out a sweep of facial recognition by different social networks to track their profiles. Secondly, the system will receive the images captured both in real time and in deferred time and then it will make the comparison with an image of the person of police interest. If there is a case of positive correlation. the system will record the data and produce a warningAbstract
Facial recognition systems are built on computer programs that analyze images of human faces for the purpose of identifying them. It is a barometric system that can be used passively, that is, without the knowledge, consent or participation of the subject.
The goal of this study will try to identify, define and develop the procedures and requirements necessary to implement a use case that allows to put into operation a facial recognition system, based on open sources.
In essence, the operation will consist of introducing an image of a person concerned, the system will perform a double task. First of all it will carry out a sweep of facial recognition by different social networks to track their profiles. Secondly, the system will receive the images captured both in real time and in deferred time and then it will make the comparison with an image of the person of police interest. If there is a case of positive correlation. the system will record the data and produce a warning.
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• REGLAMENTO (UE) 2016/679 DEL PARLAMENTO EUROPEO Y DEL CONSEJO, DE 27 DE ABRIL DE 2016, RELATIVO A LA PROTECCIÓN DE LAS PERSONAS FÍSICAS EN LO QUE RESPECTA AL TRATAMIENTO DE DATOS PERSONALES Y A LA LIBRE CIRCULACIÓN DE ESTOS DATOS
• RESOLUCIÓN DEL PARLAMENTO EUROPEO, DE 6 DE OCTUBRE DE 2021, SOBRE LA INTELIGENCIA ARTIFICIAL EN EL DERECHO PENAL Y SU UTILIZACIÓN POR LAS AUTORIDADES POLICIALES Y JUDICIALES EN ASUNTOS PENALES
• LEY ORGÁNICA 4/1997, DE 4 DE AGOSTO, POR LA QUE SE REGULA LA UTILIZACIÓN DE VIDEOCÁMARAS POR LAS FUERZAS Y CUERPOS DE SEGURIDAD EN LUGARES PÚBLICOS.
• LEY ORGÁNICA 7/2021, DE 26 DE MAYO, DE PROTECCIÓN DE DATOS PERSONALES TRATADOS PARA FINES DE PREVENCIÓN, DETECCIÓN, INVESTIGACIÓN Y ENJUICIAMIENTO DE INFRACCIONES PENALES Y DE EJECUCIÓN DE SANCIONES PENALES.
• NIKISINS, OLEGS & FUKSIS, RIHARDS & KADIKIS, ARTURS & GREITANS, MODRIS. (2015). FACE RECOGNITION SYSTEM ON RASPBERRY PI. INTERNATIONAL CONFERENCE ON INFORMATION PROCESSING AND CONTROL ENGINEERING. Recuperado el 21 de mayo de 2023 de: https://www.researchgate.net/publication/275302784_Face_recognition_system_on_Raspberry_Pi
• RORY CELLAN-JONES (5 DE MAYO DE 2011) ARTÍCULO EXTRAÍDO DE LA BBC DE MAYO DE 2011 donde se expone el lanzamiento de la Raspberry Pi, sus características principales, el desarrollador, su bajo precio (15£). Recuperado el 21 de mayo de 2023 de: https://www.bbc.co.uk/blogs/thereporters/rorycellanjones/2011/05/a_15_computer_to_inspire_young.html
• VÁZQUEZ, HEYDI & CHANG, LEONARDO & RIZO, DAYRON & MORALES-GONZÁLEZ, ANNETTE. (2012). EVALUACIÓN DE LA CALIDAD DE LAS IMÁGENES DE ROSTROS UTILIZADAS PARA LA IDENTIFICACIÓN DE LAS PERSONAS. COMPUTACIÓN Y SISTEMAS. Recuperado el 21 de mayo de 2023 de: www.researchgate.net/publication/233733399_Evaluacion_de_la_calidad_de_las_imagenes_de_rostros_utilizadas_para_la_identificacion_de_las_personas
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