Đồ án tốt nghiệp - Application of yolov8 in detecting and recording smoking behavior in public PUCS

HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION
FACULTY OF INTERNATIONAL EDUCATION

CAPSTONE PROJECT
COMPUTER ENGINEERING TECHNOLOGY
FACULTY OF INTERNATIONAL EDUCATION
APPLICATION OF YOLOV8 IN DETECTING AND RECORDING
SMOKING BEHAVIOR IN PUBLIC PLACES USING CAMERA
SYSTEM

Students:

LE VAN THINH - 20119160
NGUYEN QUANG VINH - 20119178

Supervisor:

PhD. TRUONG NGOC SON

Ho Chi Minh City - 07/2025

HCMC UNIVERSITY OF TECHNOLOGY AND EDUCATION
FACULTY OF INTERNATIONAL EDUCATION

CAPSTONE PROJECT
COMPUTER ENGINEERING TECHNOLOGY
FACULTY OF INTERNATIONAL EDUCATION
APPLICATION OF YOLOV8 IN DETECTING AND RECORDING SMOKING
BEHAVIOR IN PUBLIC PLACES USING CAMERA SYSTEM

Students:

LE VAN THINH - 20119160
NGUYEN QUANG VINH - 20119178

Supervisor: PhD. TRUONG NGOC SON
Ho Chi Minh City - 07/2025

ACKNOWLEDGMENTS
We would like to express our sincere gratitude to our advisor, PhD. Truong
Ngoc Son, for his guidance and support throughout this project. His expertise and
knowledge were invaluable to us, and we are grateful for his willingness to share
his time and expertise with us.
We would also like to thank our friends for their help and encouragement.
Their feedback and suggestions were helpful in improving the quality of our
thesis.
Finally, we would like to thank our families for their love and support. Their
encouragement and support helped us to persevere through the challenges of this
project.

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DISCLAIMER
We, the undersigned students, Le Van Thinh and Nguyen Quang Vinh,
carried out the graduation project titled “Application of YOLOv8 in detecting
and recording smoking behavior in public places using camera system.”
under the supervision of Mr. Sơn, and we hereby the following:
1. The final project is the original work of Le Van Thinh and Nguyen Quang
Vinh. It was not borrowed, purchased, outsourced, or copied from any
other individual or organization.
2. This graduation report was written entirely by us, and all references used
have been properly cited in accordance with academic standards. The
duplicate rate after plagiarism check is 28% by Turnitin.
3. The results presented in this report, including images, data, and model
accuracy, accurately reflect the actual implementation of the model and
hardware developed by our team.
We affirm that all the information stated above is true and accurate. We take
full responsibility for the authenticity of this declaration.
Project Team Members
Nguyen Quang Vinh

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Le Van Thinh

ABSTRACT
...

...
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