Development of Intelligent Door Locking System Based on Face Recognition Technology

R. Khalimov, Z. Rakhimbayeva, A. Shokayev, B. Kamalov, Md Hazrat Ali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents a low-cost smart door locking system capable of making decisions based on facial recognition technology. The system operates through a combination of Arduino UNO and Android-based smartphone. It is capable of performing all the facial recognition stages on its own such as face detection, features extraction, face recognition applying OpenCV libraries. The identification is fast and non-contact, providing an increase in comfort for system users. Moreover, the system has a secondary protection level, such as the conventional pin-code based and RFID based security levels that extend the functionality. The main advantage of the system is its autonomous function; once the system is installed, there is no need to supervise it. The system is easy to tune, and the Android OS allows to update the database for face recognition easily.

Original languageEnglish
Title of host publicationICMAE 2020 - 2020 11th International Conference on Mechanical and Aerospace Engineering
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages244-248
Number of pages5
ISBN (Electronic)9781728183220
DOIs
Publication statusPublished - Jul 2020
Event11th International Conference on Mechanical and Aerospace Engineering, ICMAE 2020 - Athens, Greece
Duration: Jul 14 2020Jul 17 2020

Publication series

NameICMAE 2020 - 2020 11th International Conference on Mechanical and Aerospace Engineering

Conference

Conference11th International Conference on Mechanical and Aerospace Engineering, ICMAE 2020
CountryGreece
CityAthens
Period7/14/207/17/20

Keywords

  • biometrics
  • control systems
  • face recognition
  • security systems

ASJC Scopus subject areas

  • Artificial Intelligence
  • Aerospace Engineering
  • Mechanical Engineering
  • Safety, Risk, Reliability and Quality
  • Control and Optimization

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