Security Door Access Control System Based on Facial Recognition

Cheam, Sheue Shin (2020) Security Door Access Control System Based on Facial Recognition. [Final Year Project Report] (Unpublished)

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Security is a primary concern in today’s world. Everyone wants to be as much secure as possible. A security door access control forms a vital connection in a security chain. This project presents a prototype of an automated door access system using Internet of Things (IoT) and face recognition which can detect the presence of person and unlock the door for authorized person. The system will keep a set of allowable persons’ face in the database. The system will first detect whether the person’s face in front of the camera is real or fake. If it is a real face, then it will proceed to the face recognition part else a notification will be sent to the homeowner. If a face is real face and is matched with the face images in the database, the door is opened automatically. If it is not recognized, the system will notify the owner of a possible intruder with an attachment of the captured image. If the owner recognizes this person, the owner can unlock the door remotely and at the same time, the owner can choose to add the new face into the database or else the door remains closed and the buzzer is switched on. The prototype is developed using Raspberry Pi 3 Model B+ as the main circuit control with Raspbian as the operating system to be installed. It notifies the user of the visitor or the suspicious person detected through the Telegram mobile application along with the image captured. Telegram also used to control the door access remotely. The programming language used in this proposed system is Python along with the OpenCV libraries.

Item Type: Final Year Project Report
Additional Information: Project Report (BSc.) -- Universiti Malaysia Sarawak, 2020.
Uncontrolled Keywords: Internet of Things (IoT), security door access control, Raspberry Pi 3 Model B+, face recognition.
Subjects: Q Science > QA Mathematics > QA76 Computer software
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Gani
Date Deposited: 26 Jan 2021 01:16
Last Modified: 26 Jan 2021 01:16

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