Đồ án tốt nghiệp - Design and implementation of smart door-lock system

HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION
FACULTY OF INTERNATIONAL EDUCATION

GRADUATION PROJECT

DESIGN AND IMPLEMENTATION
OF SMART DOOR- LOCK SYSTEM
Major: COMPUTER ENGINEERING TECHNOLOGY

PHAM DANG KHOA
Student’s ID: 19119060
PHAM DUC PHUONG
Student’s ID: 19119054

Ho Chi Minh City, 5 July 2024

HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION
FACULTY OF INTERNATIONAL EDUCATION

GRADUATION PROJECT

DESIGN AND IMPLEMENTATION
OF SMART DOOR- LOCK SYSTEM
Major: COMPUTER ENGINEERING TECHNOLOGY

PHAM DANG KHOA
Student’s ID: 19119060
PHAM DUC PHUONG
Student’s ID: 19119054
Supervisor: LE MINH, ME

Ho Chi Minh City, 5 July 2024

THE SOCIALIST REPUBLIC OF VIETNAM
Independence - Freedom - Happiness
-Ho Chi Minh City, June 24th, 2024

PROJECT ASSIGNMENT
Student name: PHAM DANG KHOA

Student ID: 19119060

Student name: PHAM DUC PHUONG

Student ID: 19119054

Major: COMPUTER ENGINEERING TECHNOLOGY

Class: 19119CLA1

Supervisor: LE MINH, ME

Phone number:

Date of assignment: March 7rd, 2024

Date of submission: June 20th, 2024

1. Project title: DESIGN AND IMPLEMENTATION OF SMART DOOR LOCK SYSTEM
2. Initial materials provided by the advisor: Documents such as papers about facial features
extraction model - FaceNet.
3. Content of the project:
 Analyze the project challenge, validate the problem statement.
 Research technical specifications, provide guidance on the theoretical foundations of hardware
components.
 a model and outline the complete system. Develop a block diagram, flowchart, and
routing table.
 Prepare data preprocessing (cleaning, resizing, database schema design)
 Configure the system and design the hardware.
 ute tests, perform checks, debugging, evaluation, and code adjustments.
 Compose the project report.
4. Final product: test model that read RFID, extracts face’s data vector, confirm password ,a
final report, a demo video.
CHAIR OF THE PROGRAM
(Sign with full name)

SUPERVISOR
(Sign with full name)

i

THE SOCIALIST REPUBLIC OF VIETNAM
Independence - Freedom - Happiness


EVALUATION SHEET OF SUPERVISOR
Student name: PHAM DANG KHOA

Student ID: 19119060

Student name: PHAM DUC PHUONG

Student ID: 19119054

Major: COMPUTER ENGINEERING TECHNOLOGY
Project title: DESIGN AND IMPLEMENTATION OF SMART DOOR LOCK SYSTEM
Supervisor: LE MINH, ME
EVALUATION
1. Content of the project:
The authors have designed and implemented a door lock that supports 3 unlock methods:
facial recognit
...

...
facial feature extraction model that is lightweight
enough to efficiently run on embedded devices like the Raspberry Pi 4 Model-B 4GB,
while significantly improving facial feature extraction and reducing the influence of
environmental conditions.
Improving the facial recognition models and enhancing the differentiation of faces is
crucial, but it is also essential to explore and implement various approaches to facial
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scanning and data collection within the system. This can facilitate user convenience and
enhance the overall user-friendliness of the system. Additionally, studying the workflow
of the control program and defining clear face differentiation standards can help ensure the
efficiency and reliability of the system.

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REFERENCES
[1]

Florian Schroff, Dmitry Kalenichenko, James Philbin, FaceNet: A Unified
Embedding for Face Recognition and Clustering, CVFR2015 provided by the
Computer Vision Foundation, 2015.

[2] M.Jyothi, L.Ravi Chandra, M.Sahithi, ,S.Daya Sagar Chowdary, K.Rajasekhar
K.Purnima, Implementation of SPI Communication Protocol for Multipurpose
Applications with I2C Power and Area Reduction, Vol. 2, Issue 2, Mar-Apr 2012,
pp.875-883.
[3]

A. Firmansyah, T. F. Kusumasari and E. N. Alam, Comparison of Face Recognition
Accuracy of ArcFace, Facenet and Facenet512 Models on Deepface Framework,
2023 International Conference on Computer Science, Information Technology and
Engineering

(ICCoSITE),

Jakarta,

Indonesia,

2023,

pp.

535-539,

doi:

10.1109/ICCoSITE57641.2023.10127799.
[4]

Peng Liu, Xiaofan Cao and Yujiao Jia, Performance evaluation and analysis of
scalable Raspberry Pi 4 Model B clusters, Institute of Energy and Electrical
Engineering, Changchun University of Science and Technology, Changchun,
130000, China June 5th, 2024.

[5]

M. Sandler, A. Howard, M. Zhu, A. Zhmoginov &amp L-C, Chen, MobileNetV2: Inverted
residuals and linear bottlenecks, March 2019, https://arxiv.org/abs/1801.04381.

[6]

Ageitgey, Face_recognition, https://github.com/ageitgey/face_recognition.

[7]

Dr. Sagar Patel, Prachi Talati, Saniya Gandhi, Design of 12C Protocol, International
Journal of Technical Innovation in ModernEngineering &amp Science (IJTIMES),
March-2019, 5.22 (SJIF-2017), e-ISSN: 2455-2585 Volume 5, Issue 03.

[8] Scott Campbell, DIY Electronics. (2024, June. 14th), BASICS OF THE I2C
COMMUNICATION

PROTOCOL

[Online].

Available:

https://www.circuitbasics.com/basics-of-the-i2c-communication-protocol/.

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