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

-oOo-

GRADUATION PROJECT

BUIDING A VEHICLE DETECTION
AND COUNTING SYSTEM
Instructor: Mr. Tran Nhat Quang

Group’s member
1. Phan Duong Giac Ngan

19110096

2. Le Quang Duy

19110072

HO CHI MINH CITY - 2023

SOCIALIST REPUBLIC OF VIETNAM
Independence – Freedom - Happiness
*********

MISSIONS ON PROJECT
Student Name: Phan Duong Giac Ngan

ID: 19110096

Class: 19110CLA1

Student Name: Le Quang Duy

ID: 19110072

Class: 19110CLA3

Major: Information Technology
Lecturer: Mr. Tran Nhat Quang

Implementation Content:
Theory: Understand methods of vehicle detection and counting, photo and video processing.
Understanding libraries and frameworks: OpenCV, Tensorflow Object Detection API…
Practice: Building a Vehicle Detection and Counting System:
o Collect dataset and pre-processing data.
o Apply algorithms, function and training model.
o Testing.
o Evaluate and improve the system.
Processing time: 15 weeks (11/09/2023 - 25/12/2023)

HCMC, December, 25th,2022
Program Chair
(sign and write full name)

Instructor
(signed and write full name)

SOCIALIST REPUBLIC OF VIETNAM
Independence – Freedom - Happiness
*********

INSTRUCTOR COMMENTARY
Group’s member:
Student’s Name

Student’s ID

Class

Phan Duong Giac Ngan

19110096

19110CLA1

Le Quang Duy

19110072

19110CLA3

Major: Information Technology
Project name: Building a Vehicle Detection and Counting System.
Instructor: Mr. Tran Nhat Quang

COMMENTARY
1. About the topic content and workload
a. Theory

✓ Survey famous Vehicle Detection and Counting System. Find out strengths and
weaknesses from which to set requirements for the project.
✓ Learn about OpenCV [1], Tensorflow Object Detection API [2]... Proficient use of
additional libraries. From there, apply it effectively to the project.
✓ Preprocess images with Histogram Equalization [3] and Gaussian Blur [4].
b. Experiment

✓ Connect, use libraries and successfully build a Vehicle Detection and Couting
System with full basic and advanced functions.
✓ Full diagrams for each role and functions of the application.
c. Links

Github: https://github.com/np119411/Vehicle-Detection-System
Pyinstaller: We did not publish it into an exe file because after publishing, the program
had a few errors.

2. Advantages
✓ Includes basic and advanced functionality.
✓ Friendly interface and easy to use.
✓ Convenient to open a video and detect vehicle in this
...

...
overall
reliability of counting results.
• Scalability and Flexibility: The system demonstrates scalability and
flexibility, adaptable to diverse locations and environments. Its deployment
can extend to streets, parking lots, toll booths, and various other settings,
effectively collecting traffic flow data.
5.3.2

Disadvantages

• Stability and Reliability: The systems stability and reliability hinge on various
factors such as lighting and weather conditions, along with challenges like
vehicle overlap and occlusion. These variables can occasionally impede
accurate recognition and counting.
• Vehicle Definition and Classification Complexity: Identifying and classifying
vehicles becomes intricate, especially with a diverse range of vehicle types and
shapes. Non-standard vehicles, obscured objects, and variations in size pose
challenges to precise identification and classification.
• Configuration and Tuning Challenges: Achieving optimal performance
necessitates meticulous configuration and tuning. Fine-tuning parameters,
ing suitable models, and adjusting classification thresholds can be laborintensive, demanding efforts to attain optimal outcomes.
• Cost and Implementation Complexity: The construction of a vehicle
identification and counting system involves intricate hardware and
technology. Deployment and maintenance demand financial and human
investments to ensure sustained and effective functionality.
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REFERENCES
[1] Aman Preet Gulati. Vehicle Detection and Counting System using OpenCV (2021) from
https://www.analyticsvidhya.com/blog/2021/12/vehicle-detection-and-counting-system-using-opencv/
[2] Lyudmil Vladimirov Revision. TensorFlow 2 Object Detection API tutorial (2020)
https://tensorflow-object-detection-api-tutorial.readthedocs.io/en/latest/
Pham Thi Hong Anh. Sử dụng Tensorflow API cho bài toán Object Detection (2019)
https://viblo.asia/p/su-dung-tensorflow-api-cho-bai-toan-object-detection-aWj534YGK6m
[3] Nguyễn Tiến Đạt. Histogram - Histogram equalization (2020)
histogram-histogram-equalization-3P0lPnxmKox

https://viblo.asia/p/tuan-3-

[4] Dục Đoàn Trình. Gaussian Blur trong OpenCV (2021) from https://websitehcm.com/opencvgaussian-blur/
[5] Tzutalin. LabelImg. Git code (2015) from https://github.com/tzutalin/labelImg
[6] Techvidvan. Vehicle Counting, Classification &amp Detection using OpenCV &amp Python (2021)
from https://techvidvan.com/tutorials/opencv-vehicle-detection-classification-counting/

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