TY - GEN
T1 - Biometric Facial Security System with Telemetry Module
AU - Meneses-Claudio, Brian
AU - Tarmeno-Bernuy, Luis
AU - Yauri-Machaca, Melissa
AU - Huamani, Enrique Lee
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Over the years the human being has sought greater security for their personal things, this has led them to develop automatic systems of detection, recognition, and fast and reliable monitoring, becoming an important tool for many people because they can identify or verify through biometric data the identity of a person and thereby guarantee access to a place. Traditional methods such as passwords, cards, among others, involve some risks such as loss, forgetfulness, cloning or theft, which is why they are not very secure. Currently, biometric facial security systems have contributed to the identification of people, access to private sites and all places that need security and order with the help of computerized computers that perform facial biometric recognition, exclusively based on images of human faces for their function, being a technology that is still being developed in the field of research. In view of this problem, this article will implement a biometric facial security system with telemetry module to detect the face of users and according to a previous evaluation allow or not access to a certain area or information safely. By implementing the facial security system, you have a more accurate detection of people's faces with an efficiency of 97.75%, so the system works in the best way by identifying each person when entering.
AB - Over the years the human being has sought greater security for their personal things, this has led them to develop automatic systems of detection, recognition, and fast and reliable monitoring, becoming an important tool for many people because they can identify or verify through biometric data the identity of a person and thereby guarantee access to a place. Traditional methods such as passwords, cards, among others, involve some risks such as loss, forgetfulness, cloning or theft, which is why they are not very secure. Currently, biometric facial security systems have contributed to the identification of people, access to private sites and all places that need security and order with the help of computerized computers that perform facial biometric recognition, exclusively based on images of human faces for their function, being a technology that is still being developed in the field of research. In view of this problem, this article will implement a biometric facial security system with telemetry module to detect the face of users and according to a previous evaluation allow or not access to a certain area or information safely. By implementing the facial security system, you have a more accurate detection of people's faces with an efficiency of 97.75%, so the system works in the best way by identifying each person when entering.
KW - Arduino
KW - biometrics
KW - facial
KW - fingerprint
KW - security
UR - http://www.scopus.com/inward/record.url?scp=85134246254&partnerID=8YFLogxK
U2 - 10.1109/ICAECT54875.2022.9807916
DO - 10.1109/ICAECT54875.2022.9807916
M3 - Contribución a la conferencia
AN - SCOPUS:85134246254
T3 - 2022 2nd International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2022
BT - 2022 2nd International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2022
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2nd International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies, ICAECT 2022
Y2 - 21 April 2022 through 22 April 2022
ER -
