The Ministry of Education's Platform for Promoting Industry-Academia Collaboration and Talent Cultivation held the finals and awards ceremony for the "6th 'Big Hands Guiding Small Hands' Smart Innovation Application Competition" on 12/07 (2024). National Formosa University Department of Computer Science and Information Engineering Professor Hsu Yung-Ho, Associate Professor Chuang Wen-Ho, and Department of Applied Foreign Languages Assistant Professor Huang Pei-Wen jointly supervised student teams in the competition, winning 1 First Prize, 1 Excellence Award, and 3 Honorable Mentions — an outstanding overall performance.
The "Big Hands Guiding Small Hands — Smart Innovation Application Competition" aims to promote collaboration between technical colleges/universities and technical senior high schools, helping smart manufacturing take root from an early stage, attracting students to pursue studies in and enter the information and communications industry, and cultivating competitive talent. This year's competition featured a total of 30 participating teams, with NFU's Department of Computer Science and Information Engineering partnering with students from its Five-Year Junior College Division's Department of Computer Science and Information Engineering, forming 5 teams that advanced to the finals and achieved an outstanding overall result of 1 First Prize, 1 Excellence Award, and 3 Honorable Mentions.
The competition covered themes including "Smart Manufacturing," "Cloud Applications," "Smart IoT," "5G Device Applications," and "Metaverse" (such as AR/VR/XR), among others. Participating teams were required to use information and communications technology combined with smart terminal devices to propose innovative solutions aimed at improving convenience in daily life. A panel of judges composed of industry and academic representatives evaluated the entries based on criteria including innovation, teamwork, alignment between the project and its theme, completeness, and user experience.
Supervised by Professor Hsu Yung-Ho and Associate Professor Chuang Wen-Ho of the Department of Computer Science and Information Engineering, the projects "Multi-Mode Smart Feedback Dual-Barrel Serving Training Platform" and "Image Recognition-Based Smartphone App System Providing Following Vehicles with Key Information on Road Conditions Ahead" won First Prize and the Excellence Award, respectively.
The former is a smart dual-barrel serving machine system that uses a dual-tube, dual-ball-pool design to simulate the complex ball trajectories found in actual matches, making table tennis training more challenging and versatile. The latter system uses image recognition technology to capture the driving conditions ahead of a vehicle, combining it with a smartphone app to display customized driving information on an LED panel at the rear of the vehicle for following drivers, improving overall road safety.
NFU won a total of three Honorable Mentions. Among these, "Smart Ear Tag Identification System," supervised jointly by Professor Hsu Yung-Ho and Associate Professor Chuang Wen-Ho, developed an intelligent TNVR (Trap, Neuter, Vaccinate, Release) management system, improving the efficiency of stray animal management.
The other two Honorable Mention-winning projects, "Cloud-Fog Architecture-Based AIoT Smart Agriculture System" and "Embedded eDP/DP Display Inspection Assistant," were both jointly supervised by Professor Hsu Yung-Ho and Assistant Professor Huang Pei-Wen of the Department of Applied Foreign Languages. The former integrates the concept of cloud-fog computing to design an AIoT system, combined with automated control equipment to apply pesticides as needed, using AI to identify test strips and analyze data to optimize the use of agricultural resources.
The latter project addresses the pain points of traditional display aging inspection, which relies on visual observation and is prone to missed defects and high labor costs, offering an innovative smart inspection solution. The system performs current-process inspection through the eDP/DP interface, generating current distribution maps for analysis, while incorporating local dimming backlight technology to simulate a wider range of anomaly data, using machine learning to improve inspection accuracy and optimize the display manufacturing process.
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6th "Big Hands Guiding Small Hands" Smart Innovation Application Competition — NFU Award-Winning Teams |
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Project Title |
Award |
Award-Winning Students |
Supervising Instructors |
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Multi-Mode Smart Feedback Dual-Barrel Serving Training Platform |
First Prize |
Cheng Jui-Hsuan, Lin Yi-Min, Lin Ching-Ya, Liao Chin-Yang, Ting Cheng-Yu, Lin Yen-Cheng |
Prof. Hsu Yung-Ho, Prof. Chuang Wen-Ho |
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Image Recognition-Based Smartphone App System Providing Following Vehicles with Key Information on Road Conditions Ahead |
Excellence Award |
Fang Ying-Hsuan, Lin Chi-Wei, Hsiao Wen-Cheng, Wang Yi-An, Cheng Yu-Chiao, Chao Chun-Kai |
Prof. Hsu Yung-Ho, Prof. Chuang Wen-Ho |
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Cloud-Fog Architecture-Based AIoT Smart Agriculture System |
Honorable Mention |
Liu Chin-An, Chen Yi-Ying, Wu Cheng-Yen, Lin Yun-Shen, Lan Chun-Chi, Chen Yu-Chi |
Prof. Hsu Yung-Ho, Prof. Huang Pei-Wen |
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Smart Ear Tag Identification System |
Honorable Mention |
Chen Chi-Jen, Yang Po-Kai, Wang Chih-Yu, Chen Chi-Wen, Wang Hsiang-Lin, Chang Chen-Hao |
Prof. Hsu Yung-Ho, Prof. Chuang Wen-Ho |
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Embedded eDP/DP Display Inspection Assistant |
Honorable Mention |
Chen Kuan-Hung, Chen Yen-Lun, Yen Chia-Fu, Wang Yu-Tse, Fu Cheng-Yuan, Tseng Hsueh-Shih |
Prof. Hsu Yung-Ho, Prof. Huang Pei-Wen |
Article and photos provided by: Department of Computer Science and Information Engineering
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| The First Prize-winning "Multi-Mode Smart Feedback Dual-Barrel Serving Training Platform" wins a cash prize of NT$90,000. |
The First Prize-winning "Multi-Mode Smart Feedback Dual-Barrel Serving Training Platform" demonstrates its experimental results. |
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| NFU's award-winning Department of Computer Science and Information Engineering team poses for a group photo. | The Honorable Mention-winning "Cloud-Fog Architecture-Based AIoT Smart Agriculture System" uses edge AI technology to provide users with accurate environmental data on pesticide spraying conditions. |