Anuntachai, Anuntapat

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School of Information Technology

anuntapat.an@kmitl.ac.th

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Weapon Detection in X-ray Image of Baggages
(2024-01-01)
Kundilokovit, Piyapat
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Thaweechoklertchaikul, Rimthaweep
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Anuntachai, Anuntapat
Due to the daily commutes of people by MRT trains, following the shooting incident at Paragon, the MRT system has implemented bag searches before entering the stations to look for concealed or hidden weapons. These searches are conducted manually, which sometimes may not be thorough enough and can take a significant amount of time. Especially during peak hours when many people are using the MRT, it is possible for some individuals to pass through the station without being searched. Such actions can render the security measures ineffective. Therefore, this paper proposes a study to find ways to address these issues. From the study and comparison of object detection processes for risky items, such as sharp objects or guns, in X-ray images of luggage, it was found that models such as CNN, RCNN, Detectron, RetinaNet, and Yolo achieved excellent results in object detection and recognition. The organizers plan to apply object detection techniques and improve the existing methods for detecting objects in X-ray images to be more efficient and accurate, capable of identifying a variety of risky items.
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Searching energy-efficient route in rough terrain for mobile robot with ant algorithm
(2012-12-01)
Anuntachai, Anuntapat
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Wongwirat, Olarn
Recently, the ant algorithm has been widely used to solve the problem for searching optimized route from various different paths. It can be applied for searching an appropriate route that consumes less energy in mobile robot area as well. However, the previous optimized routes resulting from the ant algorithms considered only in flat terrain environment. They did not mention rough terrain environment. For the rough terrain, the optimized results might not be optimized in term of energy, due to slopes contained inside. This paper presents the application of ant algorithms for searching energy-efficient route of mobile robot in the rough terrain environment. The conventional ant colony optimization (ACO) algorithm and the adapted ACO algorithm are used to find the optimized routes in terms of distance and energy for comparison. The experimental results showed that, by using the speed with distance weighting factor, the adapted ACO yielded the optimized distance and energy in the flat terrain. In the rough terrain, the adapted ACO could also provide the energy-efficient routes better than the flat terrain. However, it could not be comparable with the ACO in some case and is required further improvement. © Springer-Verlag Berlin Heidelberg 2012.
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System for Analysis and Verification of Exercise Postures with Equipment
(2024-01-01)
Kamcharoen, Chayanee
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Boriboon, Pragasit
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Anuntachai, Anuntapat
This paper is initiated in response to affectation from pandemic. The people demand to improve their heath by themselves, and the exercise equipment is easier to install at home. Exercising with equipment requires fundamental knowledge to avoid any injuries and reduce ineffective performance. The system analyzes exercise postures using equipment, encompassing 3 poses: Deadlift, Lat Pull Down, and Bench Press. Analysis is comparing the alignment of skeletal joints in the body from exercise videos through image processing and comparing correctness against expert's movement. Results and recommendations are displayed on a web application which is developed by the Django Framework. Test results indicate an improvement in users' exercise direction tendencies.
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Enhancing Industrial Automation: Real-Time Detection of Plastic Spoon Presence in Cup Filling Using Deep Learning and Plc Integration
(2025-01-01)
Chawlert, Kanoksak
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Anuntachai, Anuntapat
This paper presents a real-time detection system to enhance industrial automation in cup-filling processes by identifying the presence of plastic spoons using Deep Learning and Programmable Logic Controller (PLC) integration. The proposed system employs the YOLO (You Only Look Once) object detection model to process images captured by a vision camera. The model runs on a PC and communicates with a BECKHOFF PLC to perform automated decisionmaking based on detection results. A hardware simulation environment was developed, consisting of a servo-driven rotary table and camera setup, mimicking an actual production line. The system detects two classes: cups with spoons (acceptable) and cups without spoons (defective). Upon detection, the result is sent to the PLC, which initiates appropriate control actions. Experimental testing demonstrates that the proposed AI-integrated automation system improves detection accuracy, reduces errors from conventional sensors, and ensures better product quality control in real-time operations.
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Personalized Health Insurance Recommendation with Retrieval-Augmented Generation: A Study of Lexical, Dense, and Hybrid Retrieval
(2026-06-16)
Rujireksareekul, Phakon
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Anuntachai, Anuntapat
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Netisopakul, Ponrudee
Health insurance information in Thailand is available on many company websites and is presented in different formats, making it difficult for users to compare coverage, conditions, and benefits. In this study, we propose a personalized health insurance recommendation system using Retrieval-Augmented Generation (RAG). The system retrieves information using three methods: BM25, dense retrieval, and hybrid retrieval with Reciprocal Rank Fusion. The language model analyzes the retrieved insurance plans and recommends suitable options based on the user query. Experimental results show that dense retrieval provides the best overall performance, while hybrid retrieval performs better than lexical search. The proposed RAG system also maintains practical response latency, making it suitable for interactive applications.
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Analyze traffic conditions and events with sound processing
(2020-10-13)
Anuntachai, Anuntapat
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Pavaranchanakul, Kittituch
Traffic monitoring is a quiddity to understand occurrence of road transportation, for example, route decision in each festival, driving behavior, passerby quantity, traffic density and road contamination from road traffic, especially the accidents. Accident randomly happen in anytime and it dominates the high portion cause of death in each year. Accident is a cause of traffic jam. The assistance may come lately because no one cannot be noticed this event immediately. The traffic monitoring by applying sound analysis processing for accident sound with Convolutional Neural Network (CNNs) can significantly improve efficiency of traffic monitoring.
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Skill Level Recognition in Writing for Elementary School Students in Thailand Using Image Processing Technology
(2024-01-01)
Jarusitratti, Nattwat
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Laohakul, Krittatee
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Anuntachai, Anuntapat
In the current context, the problem of developmental writing difficulties in children is of great importance for school-age children. Diagnosing whether a child has developmental writing difficulties requires the use of writing skills assessments. These assessments are used by professionals to evaluate and diagnose any abnormalities in a child's writing development. However, there are limitations in terms of format, as they often rely on expert physicians for diagnosis. This creates a significant need for human resources. To address this, we have designed a method for scoring based on writing skills assessments, utilizing image processing technology and criteria from existing standards. The scoring criteria include three aspects: article writing position, article format, and copying speed. For article writing position, we find the centroid of the text. Article format is assessed based on the aesthetics of the written article, which should form a parallelogram. Lastly, copying speed is determined by the number of lines visible on the paper, using pixel frequency analysis.
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Writing Test with Image Processing Technique
(2023-01-01)
Charoy-Boon, Kamolchanok
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Kruesang, Nattakan
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Anuntachai, Anuntapat
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Raksadawan, Natte
Nowadays, Dysgraphia frequently discovers as same as other intellectual disabilities. The dysgraphia diagnosis method is to do monitoring by human then this paper represents the applied technology for improving the diagnosis performance. The writing test is to estimate the writing ability and alphabet perception. The image processing is applied to evaluate writing test for students (grade 1-3 or 6-8 years). The student wrote sentences accordingly to an example article in a time frame. The example article composed of 4 lines, 40 words and 161 alphabets of Thai language.
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Spacing and Stressing Extracting of Sentences System
(2024-01-01)
Ngodngamjaras, Peerach
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Teethawatthanakorn, Napatrapee
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Anuntachai, Anuntapat
Word stressing and spacing to convey the meaning is an important part of speaking English. Audiences are more likely to engage with a speaker who uses proper word stress and spacing. Stress can be observed from louder pronunciation, and higher frequency. Space can be observed from breathing and the length of time before starting a new sentence. These things, if those who would like to practice English are inexperienced or do not listen to native speakers often, they may not be able to remember the points of stressing and spacing correctly. As a result, speech does not flow smoothly. Nowadays, there are no tutorials or visualizations that clearly point out where the spacing is. For this reason, the organizer decided to create a program that would identify word stress and spacing to display on a dashboard that would be developed into a website in the future.
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Egg Defect Detection and Classification in Boiled Egg Industry with Surface Disturbance Removal on the Eggshell Based on Image Processing
(2025-01-01)
Chotchawalkul, Sasikan
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Chaipanya, Oraya
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Anuntachai, Anuntapat
In the boiled egg industry, quality inspection is typically conducted twice: before eggs are transported into the conveyor-based boiling system (before boiling), and after they exit the water-based cooling system prior to packaging (after cooling). These inspections are commonly carried out through human visual assessment, which demands substantial human resources and time. This paper presents an automated system for detecting and classifying defective eggs-such as those with cracks, dents, rough shells, and other surface anomalies-using image processing techniques. The system is designed to enhance the visibility of such defects while minimizing the impact of production-related surface disturbances, including water stains, reflections from the cooling process, and red stamps from imported eggs. The proposed system comprises two main approaches: (1) Defects Detection Method, which classifies eggs into two categories: intact and defective; and (2) Pixel Counting and Comparison Method, which classifies eggs into three categories: intact, cracked or dented, and exploded eggs. This system offers a practical and efficient solution for the egg processing industry, reducing reliance on human labor, minimizing inspection time, and lowering hardware requirements for industrial implementation.

Anuntachai, Anuntapat

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