National Formosa University (NFU) Secures Three Championships, One Second Place, and One Honorable Mention in the 'Collegiate Information Application Services Innovation Competition'

  • 2025-11-26
  • Secretariat Office

The 30th InnoServe University Information Application Service Innovation Competition held its finals and awards ceremony on Saturday, November 1. National Formosa University (NFU) teams from the Departments of Photonics, Computer Science, and Information Technology excelled in the "Designated Project Category," winning three first-place awards, one second-place award, and one honorable mention, showcasing NFU’s research capabilities in AI, cybersecurity, intelligent systems integration, and cross-domain applications.

This year’s competition was hosted by the Digital Development Department’s Digital Industry Administration, the Ministry of Education’s Information and Technology Education Division, and the Information Management Association of the Republic of China. A total of 1,964 teams (9,781 participants) from 151 universities and colleges competed, setting a record for the highest participation in the competition’s history. After preliminary and secondary evaluations, 414 elite teams competed for 174 awards, with a total prize pool of approximately NT$3 million, making the contest highly competitive.

NFU won first place in the "Cybersecurity Technology Group" with the project "High-Security Fingerprint Enhancement and Anti-Spoofing Recognition System," developed by Associate Professor Hsu Mao-Hsiu's team from the Department of Photonics. In response to the rapid rise of generative technologies and fake fingerprint attacks, the team focused on anti-spoofing recognition and improved their design based on previous judges’ feedback, successfully advancing from second to first place. Hsu stated that the team follows the principle of "usable, user-friendly, and affordable," standardizing the process from data organization and model training to system integration, enabling rapid application in smart manufacturing, financial services, and intelligent campus environments, thereby enhancing Taiwan’s overall cybersecurity and identity verification resilience.

Professor Chen Kuo-Yi from the Department of Computer Science led a team that won first place in both the "Labor Protection and Insurance Smart Services Group" and "Information Application Group (IP10)" with the project "Virtual Heavy Machinery Certification Test." Chen explained that the project integrates virtual reality, sensing technology, and AI evaluation to create a more realistic and fair testing environment. The system will be applied to labor training, traffic safety education, and smart driving instruction in the future.

The Information Technology team, guided by Associate Professor Chuang Wen-Ho, won first place in "Information Application Group (IP07)" with the project "Smart Drone-Assisted Book Inventory System." Chuang stated that the project combines drones and AI recognition technology to automate library inventory management, detecting missing or misplaced books and greatly improving library management efficiency.

Professor Chen Kuo-Yi also guided two other award-winning teams: the project "Pet Drinking Care System with Training Model" won second place in the "AUO Smart Field and ESG Application Group," and "Interactive Biomimetic Robotic Fish" received an honorable mention in "Information Application Group 9."

Text and photos provided by: Department of Computer Science, Office of Research and Development

Award Winners:

Category Rank University Project Title Advisor Students
Cybersecurity Technology Group 1st Place National Formosa University High-Security Fingerprint Enhancement and Anti-Spoofing Recognition System Hsu Mao-Hsiu Lin Hsing-Ling, Shih Ying-Hung, Hung Chia-Chun, Hsu Cheng-Wei, Chen Po-Ken
Information Application Group 7 1st Place National Formosa University, National Yunlin University of Science and Technology Smart Drone-Assisted Book Inventory System Chuang Wen-Ho Wu Tsung-Heng, Liao Tzu-Ke, Liu Chin-An
Information Application Group 10 / Labor Protection & Insurance Smart Services Group 1st Place National Formosa University Virtual Heavy Machinery Certification Test Chen Kuo-Yi Liu Tsung-Hsiu, Chang Chin-Hsien, Peng Yu-Hsuan, Chen Jui-Hsuan, Chiang Chien-Hua, Hsiao Yu-Tang, Chen Po-Cheng, Liu Hsiang-Hung
AUO Smart Field & ESG Application Group 2nd Place National Formosa University Pet Drinking Care System with Training Model Chen Kuo-Yi Chen Jui-Hsuan, Peng Yu-Hsuan, Liu Tsung-Hsiu, Chen Ting-Yu, Lin Kuo-Shan, Yen Cheng-Chih, Lin Yu-Chieh, Chuang Sheng-Ho
Information Application Group 9 Honorable Mention National Formosa University, National Yunlin University of Science and Technology Interactive Biomimetic Robotic Fish Chen Kuo-Yi Chang Chin-Hsien, Chiang Chien-Hua, Hsiao Yu-Tang, Liu Tsung-Hsiu, Liu Hsiang-Hung, Peng Yu-Hsuan, Chen Jui-Hsuan, Chen Po-Cheng

The team led by Hsu Mao-hsiu, an associate professor in the Department of Electro-Optical Engineering, won first place in the 'Cybersecurity Technology Group' of the designated project category

The team led by Hsu Mao-hsiu, an associate professor in the Department of Electro-Optical Engineering, won first place in the 'Cybersecurity Technology Group' of the designated project category

A group photo of the award-winning team led by Chen Kuo-yi, a professor in the Department of Computer Science and Information Engineering.

A group photo of the award-winning team led by Chen Kuo-yi, a professor in the Department of Computer Science and Information Engineering.

The Department of Computer Science and Information Engineering team, advised by Associate Professor Chuang Wen-he, won first place in the 'Information Application Group (IP07)'.

The Department of Computer Science and Information Engineering team, advised by Associate Professor Chuang Wen-he, won first place in the 'Information Application Group (IP07)'.

The team led by Chen Kuo-yi, a professor in the Department of Computer Science and Information Engineering, secured first place in both the 'Labor Protection and Insurance Smart Services Group' and the 'Information Application Group (IP10)' with their 'Virtual Heavy Machinery Operator Licensing Test' project.

The team led by Chen Kuo-yi, a professor in the Department of Computer Science and Information Engineering, secured first place in both the 'Labor Protection and Insurance Smart Services Group' and the 'Information Application Group (IP10)' with their 'Virtual Heavy Machinery Operator Licensing Test' project.