Đồ án tốt nghiệp - Anti-theft system design using opencv on raspberry PI 4

HO CHI MINH CITY UNIVERSITY OF TECHNOLOGY AND EDUCATION
FACULTY FOR HIGH QUALITY TRAINING

--

GRADUATION PROJECT

ANTI-THEFT SYSTEM DESIGN USING
OPENCV ON RASPBERRY PI 4

NGUYEN XUAN THANG
Student ID: 18161038
LUU DINH PHUONG NGUYEN
Student ID: 18161027
Major: ELECTRONIC AND COMMUNICATION
ENGINEERING
Advisor: Ph.D. DO DUY TAN

Ho Chi Minh City, July 2022

THE SOCIALIST REPUBLIC OF VIETNAM
Independence – Freedom– Happiness
***-Ho Chi Minh City, July 29th, 2021

ADVISOR’S EVALUATION SHEET
Student name: Nguyen Xuan Thang
Student name: Luu Dinh Phuong Nguyen

Student ID: 18161038
Student ID: 18161027

Major: Electronics and Communication Engineering
Project title: Anti-theft system design using OpenCV on Raspberry Pi 4
Advisor: Ph.D. Do Duy Tan

EVALUATION
1. Content of the project:
The content and workload of the project meets the initial requirements of the project.
2. Strengths:
The topic of the project is practical and applicable. Extensive experimental results are
conducted to evaluate the performance of the proposed design.
3. Weaknesses:
− There are many grammatical mistakes and typos in the report.
− The performance of the proposed design might be unstable in environments that light
intensity is low.
4. Approval for oral defense? (Approved or denied)
Approved.
5. Overall evaluation: (Excellent, Good, Fair, Poor)
Good.
6. Mark: 8.0 (in words: Eight )
Ho Chi Minh City, July 29th, 2022
ADVISOR
(Sign with full name)

iii

THE SOCIALIST REPUBLIC OF VIETNAM
Independence – Freedom– Happiness
-Ho Chi Minh City, July 29th, 2022

PRE-DEFENSE EVALUATION SHEET
Student name: Nguyen Xuan Thang

Student ID: 18161038

Student name: Luu Dinh Phuong Nguyen

Student ID: 18161027

Major: Electronics and Communication Engineering
Project title: Anti-theft system design using OpenCV on Raspberry Pi 4
Name of Reviewer:

EVALUATION
1. Content and workload of the project:

......................................................................................................................
......................................................................................................................
2. Strengths:
......................................................................................................................
......................................................................................................................
3. Weaknesses:
........................................................
...

...
vn/tin-tuc-su-kien/bo-cong-an-cong-bo-so-lieu-thong-ke-nam-2021d17-t30879.html
[3] Tăng Nguyễn Công Thiên, “Ứng dụng xử lý ảnh thiết kế thi công mạch chống trộm
thông minh”, Đồ án tốt nghiệp, Trường Đại học Sư phạm Kĩ thuật, Tp.HCM, 2018.
[4] Dương Chí Hùng, “Thiết kế mạch chống trộm”, Đồ án tốt nghiệp, Trường Đại học BÀ
RỊA VŨNG TÀU, 2020.
[5] Trần Quốc Huy, Trần Ngọc Vinh, “Hệ thống báo trộm báo cháy thông minh”, Đồ án
tốt nghiệp, Trường Đại học Sư phạm Kĩ thuật, Tp.HCM, 2017.
[6] Prince Patel, Shoban Babu, Priyadharshini. V, Raspberry pi projects – study of best fit
wireless prototypes, February 2021.
[7] Khalid M. Hosny, Mohamed M. Darwish, Kenli Li, Ahmad Salah, COVID-19
diagnosis from CT scans and chest X-ray images using low-cost Raspberry Pi, 2021.
[8] Raspberry Pi 4 Computer Model B, June 2019.
[9] Raspberry Pi 4 Model B Datasheet
https://datasheets.raspberry.com/rpi4/raspbrtty-pi-4-datasheet.pdf
[10] Saidi Ramadan Siregar, Pristiwanto, Build Data Backup with Nextcloud Based
Infrastucture as A Service (IAAS) Concept on Budi Darma University, March 2021.
[11] 5MP Camera User Manual
https://docs.rs-online.com/b064/A700000006917308.pdf
[12] P.Dharani Devi and C. A. Pavithra, PIR Sensor based Blaze Barricade using
Raspberry Pi, 2021.
[13] PIR Motion Sensor Datasheet
https://cdn-learn.adafruit.com/downloads/pdf/pir-passive-infrared-proximity-motionsensor.pdf
[14] Nguyễn Thanh Tuấn, Deep Learning cơ bản, 2019.
[15] Md Zahangir Alom, Tarek M. Taha, Chris Yakopcic, Stefan Westberg, Paheding
Sidike, Mst Shamima Nasrin, Mahmudul Hasan, Brian C. Van Essen, Abdul A. S. Awwal
and Vijayan K. Asari, A State-of-the-Art Survey on Deep Learning Theory and
Architectures, 2019
[16] Facundo Brea, Juan M. Gimenez, Vıctor D. Fachinotti, Prediction of wind pressure
coefficients on building surfaces using Artificial Neural Networks, 2017
[17] Nguyen Quang Hoan, Xử lý ảnh, Học viện công nghệ bưu chính viễn thông, 2006.
[18] P Kenda, A Witanti, Sistem Presensi Berbasis Wajah Dengan Metode Haar Cascade,
2021
52

[19] P.V.P. Sai Kiran, Sujith Reddy Vangala, Mamoon Rashid, Efficient Approach for
Measuring Heart Pulse from Real Time Facial RGB Color Videos, 2021
[20] Kavita Khobragade, A Comparative study of Converting Coloured Image to Grayscale Image using Different Technologies, 2017.
[21] Patrick Kennedy, Deep Dive into Flasks Application and Request Contexts, March
1st, 2022,
https://testdriven.io/blog/flask-contexts-advanced/#what-is-a-context

53