Designing advanced printed circuit boards for industrial applications involves a variety of steps and methods depending on each company. From what I have learned, I have used Cadence Allegro to design printed circuit boards. This internship was designed on a variety of boards with varying levels of difficulty. Learning in this internship could not be learned in detail within the university. I had to work with many departments within Analog Devices (Thailand) Company. This design was assisted by a mentor who took care of and taught me the work, allowing me to complete the co-operative successfully.
โครงงานนี้ออกแบบมาเพื่อศึกษา หาประสบการณ์ในการทำงานและการใช้ชีวิตวัยทำงาน โดยเป็นการทำโครงการสหกิจศึกษาเพื่อเรียนรู้ถึงกระบวนการทำงานของแผนก Global Hardware Development ของ บริษัท Analog Devices (Thailand) และได้ทดลองปฏิบัติงานจริงในโรงงานอุตสาหกรรม กระบวนการทุกอย่างตั้งแต่เริ่มแรกจนกระทั่งออกมาเป็นผลิตภัณฑ์สำหรับการทดสอบ IC ใน Final Test และ ทดสอบ wafer ใน Wafer Sort โดยฝ่ายที่เข้าไปทำสหกิจในบริษัทคือ PCB Layout Design และได้ออกแบบผ่านโปรแกรม Cadence Allegro
คณะศิลปศาสตร์
**Innovative Walking Stick "Buddy Take Care"** The "Buddy Take Care" walking stick is designed to physically support the elderly or individuals recovering from injuries, enabling convenient mobility, reducing the risk of falls, and enhancing walking safety. It is crafted as a keychain-style walking stick with a one-touch open-close mechanism. Building upon existing market products, the Buddy walking stick incorporates additional functionalities such as a portable flashlight, a medicine compartment, and an AirTag slot to maximize utility. Its design prioritizes ease of use, convenience, and safety, specifically tailored for elderly users
คณะสถาปัตยกรรม ศิลปะและการออกแบบ
Interior Architecture Design Project: A Halal Restaurant Integrating the Culture of Songkhla, Thailand
คณะวิทยาศาสตร์
This project presents the development of an automatic recycling machine for plastic bottles and cans, utilizing Machine Learning for packaging classification through image processing, integrated with smart sensor systems for quality inspection and operation control. The system connects to a Web Application for real-time monitoring and control. Once the packaging type is verified, the system automatically calculates the refund value and processes payment through e-wallet or issues cash vouchers. The system can be installed in public spaces to promote waste segregation at source, reduce contamination, and increase recycling efficiency. It also provides financial incentives to encourage public participation in waste management. This project demonstrates the potential of combining Machine Learning and smart sensor systems in developing accurate, convenient, and sustainable waste management solutions.