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Automatization of Police Activities Related to the Identification of Suspicious Persons while Patrolling

Student: Safohin Andrey

Supervisor: Nina Korovkina

Faculty: Graduate School of Business

Educational Programme: Business Informatics (Master)

Year of Graduation: 2019

ABSTRACT OF MASTER'S THESIS Student Safokhin Andrei Dmitrievich Topic: automation of the process of identification of suspicious persons by police on patrol in the Middle East. Supervisor: Nina L. Korovkina, associate Professor. Faculty: Faculty of business and management, educational program "Business Informatics» The volume of the master's thesis, the number of drawings, the number of sources of literature used the structure of the master's thesis: Master's thesis includes 55 pages, 11 figures, 9 tables, 20 sources. Master's thesis consists of a list of symbols, introduction, three chapters, conclusion, references, and applications. Keywords: Security, identification, suspicious persons, patrol officer, video Analytics, neural network, mobile complex, face recognition. Objective: To improve the process of police activities related to the identification of suspicious persons on patrol by developing a mobile solution for the problems of the Middle East. Description of the student: The first Chapter examines the process of the patrol police, associated with the identification of suspicious persons in the Middle East. The problems of this process are also identified and the modern technologies used in the activities of the police are studied. The second Chapter presents the requirements for the final product, the conceptual model of the process of the patrol police and the model of the technology used. In the third Chapter, on the basis of the models developed technical specifications and architecture of the mobile complex. The results of technology implementation at a real facility are presented.

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