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
คณะวิศวกรรมศาสตร์
Mitsubishi Motors (Thailand) Co.,Ltd. This company has a zero-risk, zero-accident safety policy, and it has maintained records of all accidents that happened inside the factory in 2024.There have been 5 accidents to date, one of them was an accident that happened on the production line while the Production Engineer Assembly Department had control of it. I got this issue to be resolved as a result. by identifying issues, classifying them, and choosing solutions to address them. D using CCTV and AI cameras to identify behavior to prevent risky events from occurring by training AI with images or Equipment malfunctions, including pallets,X-Lifters, and conveyor Including designing the Concept Improvement of the software so that CCTV+AI Camera can detect it. Outcome following installation That area was accident-free after that. Avoid accidents Cut down on the losses that will happen Whether it be the costs incurred because of the accident Training new hires Resources for work or a variety of other purposes.
คณะแพทยศาสตร์
This study explores the application of deep convolutional neural networks (CNNs) for accurate pill identification, addressing the limitations of traditional human-based methods. Using a dataset of 1,250 images across 10 household remedy drugs, various CNN architectures, including YOLO models, were tested under different conditions. Results showed that natural lighting was optimal for imprinted pills, while a lightbox improved detection for plain pills. The YOLOv5-tiny model demonstrated the best detection accuracy, and efficientNet_b0 achieved the highest classification performance. While the model showed strong results, its generalization is limited by sample size and drug variability. Nonetheless, this approach holds promise for enhancing medication safety and reducing errors in outpatient care.
คณะวิศวกรรมศาสตร์
One of the most important aspects of responding to a medical case is the response time. In general, most fatalities are due to the patient not being able to reach the hands of the doctor in time. This also includes the arrival of medical equipment to the scene. The human brain will start to degrade in function after 3 minutes of oxygen starvation which conventional road transportation method first responders presently use is usually unable to reach the site in this golden 3 minutes, resulting in fatalities during transport or before the arrival of first responders at the scene. Therefore, medical equipment transport by fully autonomous aircraft is explored. This is done through drone deliveries which is much quicker than road methods as the equipment could be flown straight to the site as it is not affected by traffic, road conditions, and navigation. In this project, we will explore an aerial delivery system for medical equipment such as Automatic External Defibrillators (AEDs), First aid equipment, and other small requested medical devices. This will be done through a DJI drone platform and their SDK application. The main goal for this project is to decrease the response time by using an autonomous aerial drone to deliver medical equipment.