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A cross-disciplinary student team from Feng Chia University earned the National Silver Award at the 2026 SDG Sustainability Roadshow – Power Up! MEAN WELL Smart Sustainability Technology Competition, jointly organized by MEAN WELL Group and National Taipei University of Technology. The competition culminated in an award ceremony on May 1 after eight months of intensive competition involving more than 120 outstanding faculty members and students from universities across Taiwan.

The FCU team distinguished itself with its project, “Terra A.I.R. System – Intelligent Environmental Emergency Response System,” successfully securing second place nationwide.

由資訊系林峰正老師指導,帶領洪群彧、葉星豪、范秩嘉、卜云晴與龎靚伊等跨院學生,勇奪「2026明緯智慧永續科技競賽」全國銀獎。

Guided by Professor Feng-Cheng Lin of the Department of Information Engineering, the interdisciplinary team of Chun-Yu Hung, Hsing-Hao Yeh, Chih-Chia Fan, Yun-Ching Pu, and Liang-Yi Pang won the National Silver Award at the 2026 MEAN WELL Smart Sustainability Technology Competition.

The award-winning team was supervised by Professor Feng-Cheng Lin of the Department of Information Engineering. Team members included Chun-Yu Hung, Hsing-Hao Yeh, and Chih-Chia Fan from the Department of Information Engineering, Yun-Ching Pu from the Department of Automatic Control Engineering, and Liang-Yi Pang from the Bachelor's Program in Artificial Intelligence Technology and Applications.

The Terra A.I.R. System is built on an AIoT (Artificial Intelligence of Things) architecture that integrates image recognition, environmental sensing, and communication technologies. Front-end sensing stations collect real-time data on smoke, PM2.5, volatile organic compounds (VOCs), and other critical environmental indicators. Combined with an uninterruptible power supply (UPS) and solar-powered green energy design, the system transmits data via LTE technology to a cloud platform for analysis.

This enables the platform to issue early warnings during the initial stages of fire outbreaks or air pollution incidents, helping protect lives and property through rapid response.

At the core of the system is an AI model based on MobileNetV3, enhanced with SE and SimAM attention modules. During testing, the smoke detection model achieved a Recall score of 0.9362 and an F1-Score of 0.9445, while requiring only about 8.3 milliseconds for inference.

These results demonstrate that the system is capable of detecting hazards both accurately and quickly, providing valuable response time during emergencies.

To congratulate the students on their achievement, Tsu-Wang Shen, Dean of the College of Information and Electrical Engineering, traveled to Taipei to attend the award ceremony. He commended the team for looking beyond purely technical challenges to address real environmental issues with practical and socially meaningful solutions.

The award-winning project is currently being showcased at the “Power Up! MEAN WELL Smart Sustainability Technology Exhibition” in the Special Exhibition Hall of the National Taipei University of Technology History Museum through May 28, offering the public an opportunity to learn more about the team’s innovative environmental monitoring technology.

「Terra A.I.R. System」能在火災或空污發生初期發出風險預警,為生命財產安全爭取最寶貴的應變時間。

The Terra A.I.R. System provides early risk warnings during the initial stages of fires or air pollution events, helping secure critical response time to protect lives and property.

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