Face recognition door lock system / Danial Haziq Hakimi Salahuddin

Salahuddin, Danial Haziq Hakimi (2023) Face recognition door lock system / Danial Haziq Hakimi Salahuddin. [Student Project] (Unpublished)

Abstract

The project aims to develop a secure and convenient door lock system that utilizes face recognition technology. The system's primary objective is to enhance security by accurately identifying individuals based on their facial features and granting access only to authorized personnel. The project involves designing and implementing a hardware and software solution that integrates a camera module, image processing algorithms, and a microcontroller based control unit. The camera captures the face of the person approaching the door, and the captured image is processed using facial recognition algorithms to match it against a preregistered database of authorized users. If a match is found, the door lock is automatically released, allowing entry. The system provides a reliable and efficient method of access control while eliminating the need for traditional keys or access cards, making it convenient for users. Additionally, the project considers factors such as accuracy, speed, and robustness to ensure a reliable and user-friendly face recognition door lock system

Metadata

Item Type: Student Project
Creators:
Creators
Email / ID Num.
Salahuddin, Danial Haziq Hakimi
2021879366
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Mohd Nordin, Atiqah Hamizah
314466
Subjects: T Technology > TH Building construction > Security systems
T Technology > TK Electrical engineering. Electronics. Nuclear engineering > Electronics > Microelectromechanical systems
Divisions: Universiti Teknologi MARA, Johor > Pasir Gudang Campus > College of Engineering
Programme: Diploma of Electrical Engineering
Keywords: Door lock system, Face recognition technology
Date: 2023
URI: https://ir.uitm.edu.my/id/eprint/97740
Edit Item
Edit Item

Download

[thumbnail of 97740.pdf] Text
97740.pdf

Download (30kB)

Digital Copy

Digital (fulltext) is available at:

Physical Copy

Physical status and holdings:
Item Status:
On Shelf

ID Number

97740

Indexing

Statistic

Statistic details