Program for Identification of People in the Flow on the Escalator

Student: Sakau Dzmitry

Supervisor: Ilia Mikhailovich Voronkov

Educational Programme: Software Engineering (Bachelor)

Year of Graduation: 2019

This paper describes a program that is designed for law enforcement agencies that need a tool to identify wanted or possibly dangerous people in the flow on the escalator. At the moment, security forces apply programs that allow them to find people only after surveillance videos have been recorded rather that in real time. The program provides the functionality to upload photos of people that require identification, instantly recognize their faces in a video stream and inform a user about the found match. To recognize faces, the program uses the FaceNet algorithm based on convolutional neural networks. A result of this work is a client-server application that implements all the necessary functionality.

Student Theses at HSE must be completed in accordance with the University Rules and regulations specified by each educational programme.

Summaries of all theses must be published and made freely available on the HSE website.

The full text of a thesis can be published in open access on the HSE website only if the authoring student (copyright holder) agrees, or, if the thesis was written by a team of students, if all the co-authors (copyright holders) agree. After a thesis is published on the HSE website, it obtains the status of an online publication.

Student theses are objects of copyright and their use is subject to limitations in accordance with the Russian Federation’s law on intellectual property.

In the event that a thesis is quoted or otherwise used, reference to the author’s name and the source of quotation is required.

Search all student theses