Development of a face recognition door lock system with OpenCV integration for securing residential properties
| bracu.type.group | Research Publications | |
| datacite.rights | Metadata Only | |
| dc.contributor.author | Haque S. | |
| dc.contributor.author | Sarker, Biplob | |
| dc.contributor.author | Mawla A.R. | |
| dc.contributor.author | Reza M.N. | |
| dc.contributor.author | Riya, Aparna Sarker | |
| dc.contributor.department | Department of Computer Science and Engineering | |
| dc.contributor.department | Department of Electrical and Electronic Engineering | |
| dc.date.accessioned | 2026-09-14T08:28:49Z | |
| dc.date.available | 2026-09-14T08:28:49Z | |
| dc.date.issued | 2024-01-01 | |
| dc.description.abstract | The Face Recognition Door Lock System project presents a novel strategy for enhancing home security by combining face recognition technology with automated access control features. This technique is intended to be used in order to implement the system. It is the intention of this system to enhance security standards while simultaneously providing a means of property entrance that is both user-friendly and efficient. Through the use of face recognition algorithms, other hardware components such as a camera sensor and an Arduino Uno microcontroller, and software programs such as OpenCV and Python programming, the system is able to reliably identify authorized persons and manage door access based on facial features. The project has an emphasis on the development of security, convenience, and system operability in order to adapt to the changing expectations of modern homeowners who are looking for sophisticated access management solutions. | |
| dc.description.version | Published | |
| dc.format.extent | 6 Pages | |
| dc.identifier.doi | 10.1109/ICCCT63501.2025.11019826 | |
| dc.identifier.issn | 9798350370249 | |
| dc.identifier.other | 2-s2.0-85212959324 | |
| dc.identifier.uri | https://hdl.handle.net/10361/29913 | |
| dc.language.iso | en_US | |
| dc.publisher | Institute of Electrical and Electronics Engineers Inc. | |
| dc.relation.hasversion | 10.1109/ICCCNT61001.2024.10725897 | |
| dc.relation.ispartof | 2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024 | |
| dc.relation.ispartofseries | 2024 15th International Conference on Computing Communication and Networking Technologies Icccnt 2024 | |
| dc.relation.uri | https://ieeexplore.ieee.org/document/11019826 | |
| dc.subject | Access control | |
| dc.subject | Visualization | |
| dc.subject | Face recognition | |
| dc.subject | Software algorithms | |
| dc.subject | Real-time systems | |
| dc.subject | Software reliability | |
| dc.subject | Standards | |
| dc.subject | Python | |
| dc.subject | Face recognition | |
| dc.subject | Door lock system | |
| dc.subject | Residential security | |
| dc.subject | Automated access control | |
| dc.subject.lcsh | Biometric identification. | |
| dc.subject.lcsh | Speech processing systems. | |
| dc.subject.lcsh | Automatic speech recognition. | |
| dc.title | Development of a face recognition door lock system with OpenCV integration for securing residential properties | |
| dc.type | Conference Proceeding | |
| person.affiliation.name | American International University - Bangladesh | |
| person.affiliation.name | BRAC University | |
| person.affiliation.name | International Islamic University Chittagong | |
| person.affiliation.name | Eastern University | |
| person.affiliation.name | BRAC University | |
| person.identifier.scopus-author-id | 57818824700 | |
| person.identifier.scopus-author-id | 57218503167 | |
| person.identifier.scopus-author-id | 59484688300 | |
| person.identifier.scopus-author-id | 59471229100 | |
| person.identifier.scopus-author-id | 59460004400 |