"Niyom Thai" represents health-centric footwear adorned with traditional Thai patterns, embodying an innovative approach to sustainable development tailored to the current needs of local communities. These shoes utilize natural materials to mitigate fatigue and integrate safety technologies, including location tracking via a mobile application and heart rate monitoring. This addresses the aspects of convenience and well-being in both daily life and travel
เนื่องจากปัจจัยผู้คนให้ความสนใจเรื่องสุขภาพมากขึ้นเเละรองเท้านับเป็นอีกหนึ่งเทรนด์สุขภาพที่กำลังได้รับความสนใจในยุคนี้ อีกทั้งผ้าไทยจัดเป็นศิลปะ ที่มีเอกลักษณ์เเละความสวยงาม คณะผู้จัดทำจึงมีเเนวคิดที่จะออกแบบลวดลายไทยให้เข้ากับยุคสมัยเเต่ยังคงความเป็นเป็นไทยและนำเทคโนโลยีมาผสมผสานเข้าด้วยกันให้เกิดนวัตกรรมรองเท้าเพื่อสุขภาพลายไทย
คณะศิลปศาสตร์
This innovation reduces costs and enhances queue management efficiency in restaurants, ensuring an organized system, minimizing wait times, and improving customer handling.
วิทยาลัยอุตสาหกรรมการบินนานาชาติ
The capture of a target spacecraft by a chaser is an on-orbit docking operation that requires an accurate, reliable, and robust object recognition algorithm. Vision-based guided spacecraft relative motion during close-proximity maneuvers has been consecutively applied using dynamic modeling as a spacecraft on-orbit service system. This research constructs a vision-based pose estimation model that performs image processing via a deep convolutional neural network. The pose estimation model was constructed by repurposing a modified pretrained GoogLeNet model with the available Unreal Engine 4 rendered dataset of the Soyuz spacecraft. In the implementation, the convolutional neural network learns from the data samples to create correlations between the images and the spacecraft’s six degrees-of-freedom parameters. The experiment has compared an exponential-based loss function and a weighted Euclidean-based loss function. Using the weighted Euclidean-based loss function, the implemented pose estimation model achieved moderately high performance with a position accuracy of 92.53 percent and an error of 1.2 m. The in-attitude prediction accuracy can reach 87.93 percent, and the errors in the three Euler angles do not exceed 7.6 degrees. This research can contribute to spacecraft detection and tracking problems. Although the finished vision-based model is specific to the environment of synthetic dataset, the model could be trained further to address actual docking operations in the future.
คณะวิทยาศาสตร์
In raising crickets for meat consumption, the growth rate and growth period of crickets are important data used to identify the number of crickets per breeding area at each age. Therefore, the researcher has an idea to create a system for monitoring the growth rate of crickets in a closed system using an infrared camera combined with computer image processing to study the growth and identify the growth period of crickets at each age in order to obtain knowledge that can be disseminated to farmers to improve the breeding process for maximum efficiency.