This project aims to develop a conceptual prototype of a weapon aiming system that simulates an anti-aircraft gun. Utilizing an optical camera, the system detects moving objects and calculates their trajectories in real time. The results are then used to control a motorized laser pointer with two degrees of freedom (DoF) of rotation, enabling it to aim at the predicted position of the target. Our system is built on the Raspberry Pi platform, employing machine vision software. The object motion tracking functionality was developed using the OpenCV library, based on color detection algorithms. Experimental results indicate that the system successfully detects the movement of a tennis ball at a rate of 30 frames per second (fps). The current phase involves designing and integratively testing the mechanical system for precise laser pointer position control. This project exemplifies the integration of knowledge in electronics (computer programming) and mechanical engineering (motor control).
โปรเจคนี้เกิดจากความสนใจในการพัฒนาระบบที่มีการผสมผสานของ Machine Vision และระบบความคุมกลไกมอเตอร์ 2 แกนแบบ Degrees of Freedom(DoF) เพื่อพัฒนาอุปกรณ์ต้นแบบที่สามารถตรวจจับ ติดตาม และเล็งเป้าหมายได้อย่างมีแม่นยำ ซึ่งหวังเป็นอย่างยิ่งว่าโปรเจคนี้จะมีประโยชน์ต่องานในอนาคตต่างๆที่เกี่ยวข้อง ไม่ว่าจะเป็น ทางการทหาร ทางการแพทย์ หรือทางอุตสาหกรรม
คณะวิทยาศาสตร์
A smartphone-based colorimetric sensor for quantitative detection of pyridoxine (Vitamin B6, VB-6) in functional drink samples has been realized by developing double layer hydrogel. Electrostatic interaction initiates the cross-linking and produces double layer hydrogel.
คณะศิลปศาสตร์
This innovation reduces costs and enhances queue management efficiency in restaurants, ensuring an organized system, minimizing wait times, and improving customer handling.
คณะอุตสาหกรรมอาหาร
Spent coffee grounds (SCG) are a byproduct of the coffee brewing process, and their quantity continues to increase due to the growing global coffee consumption. SCG contain beneficial compounds such as polysaccharides, dietary fibers, and antioxidants, which can be utilized in various applications, including prebiotic extraction. This study focuses on extracting prebiotics from SCG using acid hydrolysis and enzymatic hydrolysis methods to evaluate their potential in promoting the growth of beneficial gut microorganisms. The expected results of this research include adding value to coffee industry waste, reducing organic waste, and providing a sustainable approach to developing prebiotic products for use in the food and health industries. Furthermore, this study aligns with sustainable resource utilization and environmentally friendly practices.