Face Recognition for Criminal Identification: An Alert System in Suspects Scenarios

Bryan Orellana; Luiggi Álvarez; Jimmy Armas-Aguirre

doi:10.1007/978-3-030-75680-2_41

Face Recognition for Criminal Identification: An Alert System in Suspects Scenarios

Bryan Orellana
, Luiggi Álvarez
, Jimmy Armas-Aguirre

Faculty of Engineering

Universidad Peruana de Ciencias Aplicadas

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

In this paper, we propose an alert system to identify suspects on the scene using mobile devices. This project's objective is to give the police officers a mobile application to receive alerts in real-time; it will help improve the current identification time by using facial recognition. This proposal is due to the increase in Peru's criminal acts that affects 27.3% of the population who has suffered more than one criminal act. Also, the current identification time is between 5 and 10 min. This alert system consists of 1. The collection and training of images of criminals; 2. IP video device configuration; 3. Sending data from the Python service to the application; 4. The process of receiving results in the application. The alert system was validated in a public area of the Rímac district in Lima, Peru. Preliminary results showed that the alert system reduces the current identification time by 91.46% and has an efficiency of 90% based on the tests performed.

Original language	English
Title of host publication	Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology
Editors	Yuzo Iano, Osamu Saotome, Guillermo Kemper, Ana Claudia Mendes de Seixas, Gabriel Gomes de Oliveira
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	368-377
Number of pages	10
ISBN (Print)	9783030756796
DOIs	https://doi.org/10.1007/978-3-030-75680-2_41
State	Published - 2021
Event	6th Brazilian Technology Symposium, BTSym 2020 - Virtual, Online Duration: 26 Oct 2020 → 28 Oct 2020

Publication series

Name	Smart Innovation, Systems and Technologies
Volume	233
ISSN (Print)	2190-3018
ISSN (Electronic)	2190-3026

Conference

Conference	6th Brazilian Technology Symposium, BTSym 2020
City	Virtual, Online
Period	26/10/20 → 28/10/20

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 11 Sustainable Cities and Communities
SDG 16 Peace, Justice and Strong Institutions

Keywords

Cloud computing
Face recognition
Security system
Smart city
Video surveillance

Access to Document

10.1007/978-3-030-75680-2_41

Cite this

Orellana, B., Álvarez, L., & Armas-Aguirre, J. (2021). Face Recognition for Criminal Identification: An Alert System in Suspects Scenarios. In Y. Iano, O. Saotome, G. Kemper, A. C. Mendes de Seixas, & G. Gomes de Oliveira (Eds.), Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology (pp. 368-377). (Smart Innovation, Systems and Technologies; Vol. 233). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-75680-2_41

Orellana, Bryan ; Álvarez, Luiggi ; Armas-Aguirre, Jimmy. / Face Recognition for Criminal Identification : An Alert System in Suspects Scenarios. Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology. editor / Yuzo Iano ; Osamu Saotome ; Guillermo Kemper ; Ana Claudia Mendes de Seixas ; Gabriel Gomes de Oliveira. Springer Science and Business Media Deutschland GmbH, 2021. pp. 368-377 (Smart Innovation, Systems and Technologies).

@inproceedings{94c92cf58c86414cacf951b8d2401288,

title = "Face Recognition for Criminal Identification: An Alert System in Suspects Scenarios",

abstract = "In this paper, we propose an alert system to identify suspects on the scene using mobile devices. This project's objective is to give the police officers a mobile application to receive alerts in real-time; it will help improve the current identification time by using facial recognition. This proposal is due to the increase in Peru's criminal acts that affects 27.3\% of the population who has suffered more than one criminal act. Also, the current identification time is between 5 and 10 min. This alert system consists of 1. The collection and training of images of criminals; 2. IP video device configuration; 3. Sending data from the Python service to the application; 4. The process of receiving results in the application. The alert system was validated in a public area of the R{\'i}mac district in Lima, Peru. Preliminary results showed that the alert system reduces the current identification time by 91.46\% and has an efficiency of 90\% based on the tests performed.",

keywords = "Cloud computing, Face recognition, Security system, Smart city, Video surveillance",

author = "Bryan Orellana and Luiggi {\'A}lvarez and Jimmy Armas-Aguirre",

note = "Publisher Copyright: {\textcopyright} 2021, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 6th Brazilian Technology Symposium, BTSym 2020 ; Conference date: 26-10-2020 Through 28-10-2020",

year = "2021",

doi = "10.1007/978-3-030-75680-2\_41",

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booktitle = "Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology",

}

Orellana, B, Álvarez, L & Armas-Aguirre, J 2021, Face Recognition for Criminal Identification: An Alert System in Suspects Scenarios. in Y Iano, O Saotome, G Kemper, AC Mendes de Seixas & G Gomes de Oliveira (eds), Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology. Smart Innovation, Systems and Technologies, vol. 233, Springer Science and Business Media Deutschland GmbH, pp. 368-377, 6th Brazilian Technology Symposium, BTSym 2020, Virtual, Online, 26/10/20. https://doi.org/10.1007/978-3-030-75680-2_41

Face Recognition for Criminal Identification: An Alert System in Suspects Scenarios. / Orellana, Bryan; Álvarez, Luiggi; Armas-Aguirre, Jimmy.
Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology. ed. / Yuzo Iano; Osamu Saotome; Guillermo Kemper; Ana Claudia Mendes de Seixas; Gabriel Gomes de Oliveira. Springer Science and Business Media Deutschland GmbH, 2021. p. 368-377 (Smart Innovation, Systems and Technologies; Vol. 233).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Face Recognition for Criminal Identification

T2 - 6th Brazilian Technology Symposium, BTSym 2020

AU - Orellana, Bryan

AU - Álvarez, Luiggi

AU - Armas-Aguirre, Jimmy

PY - 2021

Y1 - 2021

N2 - In this paper, we propose an alert system to identify suspects on the scene using mobile devices. This project's objective is to give the police officers a mobile application to receive alerts in real-time; it will help improve the current identification time by using facial recognition. This proposal is due to the increase in Peru's criminal acts that affects 27.3% of the population who has suffered more than one criminal act. Also, the current identification time is between 5 and 10 min. This alert system consists of 1. The collection and training of images of criminals; 2. IP video device configuration; 3. Sending data from the Python service to the application; 4. The process of receiving results in the application. The alert system was validated in a public area of the Rímac district in Lima, Peru. Preliminary results showed that the alert system reduces the current identification time by 91.46% and has an efficiency of 90% based on the tests performed.

AB - In this paper, we propose an alert system to identify suspects on the scene using mobile devices. This project's objective is to give the police officers a mobile application to receive alerts in real-time; it will help improve the current identification time by using facial recognition. This proposal is due to the increase in Peru's criminal acts that affects 27.3% of the population who has suffered more than one criminal act. Also, the current identification time is between 5 and 10 min. This alert system consists of 1. The collection and training of images of criminals; 2. IP video device configuration; 3. Sending data from the Python service to the application; 4. The process of receiving results in the application. The alert system was validated in a public area of the Rímac district in Lima, Peru. Preliminary results showed that the alert system reduces the current identification time by 91.46% and has an efficiency of 90% based on the tests performed.

KW - Cloud computing

KW - Face recognition

KW - Security system

KW - Smart city

KW - Video surveillance

UR - https://www.scopus.com/pages/publications/85111352927

U2 - 10.1007/978-3-030-75680-2_41

DO - 10.1007/978-3-030-75680-2_41

M3 - Contribución a la conferencia

AN - SCOPUS:85111352927

SN - 9783030756796

T3 - Smart Innovation, Systems and Technologies

SP - 368

EP - 377

BT - Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology

A2 - Iano, Yuzo

A2 - Saotome, Osamu

A2 - Kemper, Guillermo

A2 - Mendes de Seixas, Ana Claudia

A2 - Gomes de Oliveira, Gabriel

PB - Springer Science and Business Media Deutschland GmbH

Y2 - 26 October 2020 through 28 October 2020

ER -

Orellana B, Álvarez L, Armas-Aguirre J. Face Recognition for Criminal Identification: An Alert System in Suspects Scenarios. In Iano Y, Saotome O, Kemper G, Mendes de Seixas AC, Gomes de Oliveira G, editors, Proceedings of the 6th Brazilian Technology Symposium, BTSym 2020 - Emerging Trends and Challenges in Technology. Springer Science and Business Media Deutschland GmbH. 2021. p. 368-377. (Smart Innovation, Systems and Technologies). doi: 10.1007/978-3-030-75680-2_41

Face Recognition for Criminal Identification: An Alert System in Suspects Scenarios

Abstract

Publication series

Conference

UN SDGs

Keywords

Access to Document

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