BrushXchange is a toothbrush brand dedicated to reducing plastic waste in Thailand by offering toothbrushes made from recycled plastic with replaceable bristles. These products help minimize waste generated by traditional toothbrushes. The design is modern and user-friendly, emphasizing durability, comfort, and affordability, making it appropriate for health-conscious and environmentally aware consumers. The brand aims to drive change in the oral care industry by providing high-quality products at accessible prices. Its marketing strategy focuses on using social media platforms like Instagram and TikTok and collaborating with organizations that promote sustainability. The product is distributed through retail stores such as Lotus’s and Tops. BrushXchange also prioritizes environmental responsibility by using recycled paper packaging and organizing sustainability campaigns. The brand's long-term goal is to become a widely recognized brand image in the eco-friendly toothbrush market in Thailand while encouraging sustainable living habits within society.
1.ปัญหาขยะพลาสติกในประเทศไทย ประเทศไทยมีการผลิตขยะรวม 27.8 ล้านตันต่อปี โดยขยะพลาสติกคิดเป็น 12-13% ของปริมาณขยะทั้งหมด โดยขยะพลาสติกจากแปรงสีฟันที่ใช้แล้วทิ้งเป็นอีกปัจจัยที่ทำให้ปริมาณขยะเพิ่มขึ้น ด้วยจำนวนประชากรไทยกว่า 66 ล้านคน มีความเป็นไปได้ที่จะมีแปรงสีฟันที่ถูกทิ้งปีละประมาณ 66 ล้านชิ้น 2.มุ่งเน้นการสร้างความตระหนักรู้เกี่ยวกับปัญหาขยะพลาสติกในชุมชนและสังคม 3.เราต้องการนำเสนอผลิตภัณฑ์ที่ตอบสนองความต้องการของผู้บริโภคที่ใส่ใจสิ่งแวดล้อม โดยยังคงคุณภาพ ทนทาน และใช้งานได้สะดวก
คณะเทคโนโลยีการเกษตร
Public Park Project: Coastal folk Park is a design park in the area of Ang Sila Subdistrict, Chonburi Province. In an area of 22 acre, it is intended to be a place of rest, recreation, and also a source of learning and conservation of the seashore and the traditional way of life of the area.
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
This study aims to identify the toothbrush appearance factors that affect baby boomers purchasing decisions. The research divide into three stages: The first stage is to classify the toothbrush appearance factors through a review of literature, research, and examining toothbrushes currently available on the market, summarizing them as appearance factors. The second stage is to summarize the results of the toothbrush appearance factors to create a multiple-choice questionnaire in three dimensions: purchasing decisions, aesthetics, and functionality. Collecting data from a group of 30 Baby Boomers aged 57-75 years old. The last stage is to summarize the three dimensions of appearance factors affecting baby boomers' toothbrush purchasing decisions and report as percentages and rank them. The research findings indicate that the most significant toothbrush appearance factor is a "Curved handle," accounting for 80%, followed by “Multi-level bristles” at 70%, a "Rubber thumb rest" at 53.3%, "Handle divided into more than two parts" at 50%, and “Offset shape” at 40%, respectively. In terms of the reason for purchasing decision based on various factors are as follows: the curved handle and offset shape give a sense of purchase with its aesthetic, While the selection of multi-level bristles, the Rubber thumb rest, and the handle divided into more than two parts due to functionality.
คณะวิศวกรรมศาสตร์
The integration of intelligent robotic systems into human-centric environments, such as laboratories, hospitals, and educational institutions, has become increasingly important due to the growing demand for accessible and context-aware assistants. However, current solutions often lack scalability—for instance, relying on specialized personnel to repeatedly answer the same questions as administrators for specific departments—and adaptability to dynamic environments that require real-time situational responses. This study introduces a novel framework for an interactive robotic assistant (Beckerle et al. , 2017) designed to assist during laboratory tours and mitigate the challenges posed by limited human resources in providing comprehensive information to visitors. The proposed system operates through multiple modes, including standby mode and recognition mode, to ensure seamless interaction and adaptability in various contexts. In standby mode, the robot signals readiness with a smiling face animation while patrolling predefined paths or conserving energy when stationary. Advanced obstacle detection ensures safe navigation in dynamic environments. Recognition mode activates through gestures or wake words, using advanced computer vision and real-time speech recognition to identify users. Facial recognition further classifies individuals as known or unknown, providing personalized greetings or context-specific guidance to enhance user engagement. The proposed robot and its 3D design are shown in Figure 1. In interactive mode, the system integrates advanced technologies, including advanced speech recognition (ASR Whisper), natural language processing (NLP), and a large language model Ollama 3.2 (LLM Predictor, 2025), to provide a user-friendly, context-aware, and adaptable experience. Motivated by the need to engage students and promote interest in the RAI department, which receives over 1,000 visitors annually, it addresses accessibility gaps where human staff may be unavailable. With wake word detection, face and gesture recognition, and LiDAR-based obstacle detection, the robot ensures seamless communication in English, alongside safe and efficient navigation. The Retrieval-Augmented Generation (RAG) human interaction system communicates with the mobile robot, built on ROS1 Noetic, using the MQTT protocol over Ethernet. It publishes navigation goals to the move_base module in ROS, which autonomously handles navigation and obstacle avoidance. A diagram is explained in Figure 2. The framework includes a robust back-end architecture utilizing a combination of MongoDB for information storage and retrieval and a RAG mechanism (Thüs et al., 2024) to process program curriculum information in the form of PDFs. This ensures that the robot provides accurate and contextually relevant answers to user queries. Furthermore, the inclusion of smiling face animations and text-to-speech (TTS BotNoi) enhanced user engagement metrics were derived through a combination of observational studies and surveys, which highlighted significant improvements in user satisfaction and accessibility. This paper also discusses capability to operate in dynamic environments and human-centric spaces. For example, handling interruptions while navigating during a mission. The modular design allows for easy integration of additional features, such as gesture recognition and hardware upgrades, ensuring long-term scalability. However, limitations such as the need for high initial setup costs and dependency on specific hardware configurations are acknowledged. Future work will focus on enhancing the system’s adaptability to diverse languages, expanding its use cases, and exploring collaborative interactions between multiple robots. In conclusion, the proposed interactive robotic assistant represents a significant step forward in bridging the gap between human needs and technological advancements. By combining cutting-edge AI technologies with practical hardware solutions, this work offers a scalable, efficient, and user-friendly system that enhances accessibility and user engagement in human-centric spaces.