- Final Year Project (FYP)
Authors: Nguyen, Tien Anh; Advisor: Kim, Dinh Thai (2024) - With the rapid urbanization and increasing number of vehicles, cities worldwide are facing significant challenges in managing parking spaces efficiently. Traditional parking systems, characterized by static signage, manual monitoring, and conventional pay-and-display methods, are increasingly inadequate in addressing the escalating demands of urban mobility. These conventional systems suffer from several critical disadvantages that contribute to a host of problems for drivers, urban planners, and the environment. One of the primary drawbacks of traditional parking systems is the inefficiency in space utilization. Without real-time information on parking availability, drivers often spe...
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- Student report
Authors: Pham, Anh Phuong; Doan, Thi Phuong Thao; Nguyen, Khac Ton; Nguyen, Khac Truong; Nguyen, Ngoc Trung; Advisor: Kim, Dinh Thai; Ha, Manh Hung (2024) - This study presents a novel system that utilizes computer vision techniques to automate at tendance taking and student monitoring in the classroom. The proposed system leverages the FaceNet model for face recognition, combined with the MTCNN algorithm to accurately de tect and locate student faces. Additionally, YOLOv8-object detection is employed to analyze student behavior, specifically focusing on assessing their concentration levels. The system’s performance was evaluated using a comprehensive test set, and the results demonstrated a high level of accuracy, with a recorded average accuracy of 90% for face recognition using FaceNet. Moreover, the utilization of the MTCNN algorithm ...
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- Student report
Authors: Do, Xuan Minh Duc; Nguyen, Duc Quang Anh; Nguyen, Thi Thu Hien; Vu, Quan; Nguyen, Quynh Chi; Advisor: Kim, Dinh Thai (2024) - In recent years, through improvements in technology, electronic techniques and the tireless efforts of people, more and more types of vehicles such as motorbikes, cars,... have been developed. Other conditions for different uses aim to serve people. The quantity is always in creasing but there is no sign of decreasing in terms of demand and quality, which also leads to the number of methods. There has been a significant increase in the convenience of transportation around the world in general. It can be said that this is a good sign of economic growth and improving people’s quality of life, but this growth also brings with it undesirable systems. The most obvious consequence is that t...
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- Final Year Project (FYP)
Authors: Tran, Dinh Hoang; Advisor: Kim, Dinh Thai (2024) - This project has the content of building a website to sell computers online using Laravel framework. Building a sales website aims to help customers easily buy products without having to go directly to the store, the manager has the ability to cover and control the inventory, provide statistics and reports. Content of the subject: Chapter 1: Overview. This chapter will introduce an overview of the topic situation and research issues to develop the in-depth direction of the topic. Chapter 2: Theoretical basis. This chapter raises some theories about concepts, implementation models, as well as implementation languages and databases that need to be applied to build an online computer sal...
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- Student report
Authors: Dao, Ngoc Nam; Pham, Duc Anh; Nguyen, Minh Duc; Le, Ba Tung Duong; Advisor: Kim, Dinh Thai; Ha, Manh Hung (2024) - Analyzing medical images in endoscopic surgery is an important task in applying technology to improve the efficiency of the surgical process. This research investigates three issues: surgical tool detection, segmentation, and pose estimation. Our key contributions involve constructing datasets for these tasks and utilizing the cutting-edge YOLOv8 model to assess the efficacy of recognizing seven types of instruments in laparoscopic cholecystectomy. The evaluation results show that the proposed model can accurately identify these tools. These results show the potential to apply research findings in developing applications to overcome challenges in endoscopic surgery.
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- Student report
Authors: Nguyen, Duy Thuc; Tran, Minh Tuan Kiet; Nguyen, Le Quang Hieu; Nguyen, Manh Truong Lam; Advisor: Kim, Dinh Thai; Ha, Manh Hung (2024) - Ensuring compliance with personal protective equipment (PPE) is one of the crucial issues in construction projects, where non-compliance can lead to life-threatening accidents. Despite advancements in deep neural network models for PPE detection,
challenges persist, including limited datasets and inefficiencies in detecting small objects at a distance. To address these issues, this research project develops a real-time surveillance system equipped with advanced computer vision technology tailored for
construction sites. The study outlines three main objectives: assembling a comprehensive dataset, evaluating deep neural network models, and implementing a real-time surveillance syst...
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- Final Year Project (FYP)
Authors: Nguyen, Thi Huyen Linh; Advisor: Kim, Dinh Thai (2024) - At the present time, information technology is increasingly developing and plays a
very important and indispensable role in current life. We have created intelligent
machines capable of recognizing and handling increasingly automated and
modernized tasks, which can serve well in life and work. With that development, the
identification problem is a problem that is receiving a lot of attention and effort in
developing this problem because of its practical application as well as its complexity.
Recognition problems are divided into many types such as: Face recognition, voice
recognition, fingerprint recognition, in which the most popular and applied problem
is the face recognitio...
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- Final Year Project (FYP)
Authors: Pham, Minh Hieu; Advisor: Kim, Dinh Thai (2025) - The rapid advancement of Internet of Things (IoT) technologies has significantly influenced the development of multi-mode remote control systems, which are increasingly vital for enhancing automation and user interaction in various fields. This thesis focuses on the design and implementation of a multi-mode remote control car that integrates web-based control, gesture-based navigation, and autonomous obstacle avoidance. The primary objective is to build a versatile system that demonstrates seamless operation across these three control
modes while maintaining high efficiency and adaptability. The approach involves hardware and software integration using components such as ESP32-CAM fo...
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- Student report
Authors: Pham, Nhat Quang; Pham, Phuong Thao; Le, Quoc Dat; Le, Huu Uy; Tran, Quang Tiep; Advisor: Kim, Dinh Thai (2024) - This research paper explores the application of AI technology in production lines, specifically focusing on utilizing YOLOv8 for training an AI system to classify cashew nuts. Additionally, the study incorporates the use of Roboflow software as a labeling
tool to support the annotation process of various nut types. The results of extensive experimentation and research demonstrate highly promising outcomes, aligning closely with the initial expectations. The integration of AI technology in production lines presents numerous advantages, such as improved efficiency, accuracy, and automation. In this study, YOLOv8, a state-of-the-art object detection algorithm, was employed to train the...
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- Final Year Project (FYP)
Authors: Nguyen, Thi Linh; Advisor: Kim, Dinh Thai (2024) - Human facial emotions (FER) have garnered significant attention from researchers due to their potential applications. Mapping different facial expressions to match emotional states is the main goal of FER. Traditional facial emotion recognition methods typically involve two primary actions: extracting features and recognizing emotions. Recently, deep neural networks (DNNs), particularly convolutional neural networks (CNNs), have been extensively employed in facial emotion recognition (FER) because of their effective image feature extraction capabilities. Several studies have utilized convolutional neural networks with limited layers to address facial emotion recognition issues. Howeve...
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- Student report
Authors: Nguyen, Thi Linh; Nguyen, Anh Tu; Nguyen, Danh Hai Dang; Doan, Thi Thuy Linh; Advisor: Kim, Dinh Thai; Do, Manh Tuan (2024) - In an increasingly developing society, computer vision-based facial emotion recognition is an important research field in computer science, focusing on using computer technology to automatically analyze facial expressions. analyze and understand emotional expressions on human faces. Through the application of machine learning algorithms and models, this method is capable of identifying emotions such as happiness, sadness, anger, and many others through analyzing features such as eye, mouth, and facial expressions. Applications of facial emotion recognition range from human-machine communication through applications in the medical and marketing fields. However, the research literature ...
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- Final Year Project (FYP)
Authors: Dang, The Khang; Advisor: Kim, Dinh Thai (2025) - This project shows how to create and construct a smart home model that incorporates
sensors for temperature, humidity, air quality, rain, flame, and light, as well as IoT devices like ESP32 and ESP8266. With a Flask-based web application implemented with
Gunicorn and Nginx, the system offers remote device control and real-time monitoring
via a Raspberry Pi serving as the central server. The project places a strong emphasis on dynamic web interfaces for user interaction, reliable network connection over
HTTP, and an alert system to inform users of important environmental changes. Offering a workable answer for contemporary life, this scalable smart home model improves
convenience,...
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