[News] Congratulations! IRIS Won seven awards in June Leading academic research, brilliant performance Won international anddomestic awards Congratulations to the experts for their efforts

🏆 2021 Golden Gate University Artificial Intelligence Innovation Application Competition/Best Practice Award
Team Name: Team led Center Director Chuan-Yu Chang
Technical name：Comprehensive Smart Baby Monitor

🏆 The 19th Outlying Islands Information Technology and Application Conference (ITAOI2021) / Best Paper Award
Team Name: Team led Center Director Chuan-Yu Chang
Technical name：Multiperson heart rate and breath detection

🏆 The 35th World Genius Convention and Education Expo 2021 ／Gold Medal
Team Name:developed by Professor Chung-Wen Hung
Technical name：Mobile Phone Light Pattern Identification System

🏆 The 35th World Genius Convention and Education Expo 2021 ／Gold Medal
Team Name:developed by Professor Shih-Chang Hsia
Technical name：heterogeneous image fusion semantic cutting network applied to free space detection

🏆 3rd IEEE Eurasia Conference on Biomedical Engineering,
Healthcare and Sustainability 2021 ／BEST PAPER AWARD
Team Name:Professor Hsuan-Ting Chang
Technical name：Computer-Aided Classification of Pancreatic Cystic Types in Confocal Micro-Endoscopic Images using VGG19 Deep Learning Network

🏆 2021 Nationwide Vocational and Technological College and University Students
Practical Thematic Production Competition and Achievement Exhibition／win the 3rd place in the electrical engineering group.
Team Name:Professor Hsien-Huang Wu
Technical name：Intelligent inspection of epoxy resin plant pipelines combined with image acquisition system design and AI intelligent identification

🏆 2021 Nationwide Vocational and Technological College and University Students
Practical Thematic Production Competition and Achievement Exhibition – 2nd place in the management group
Team Name: APP for detecting changes in the pupil’s light reflection scalinh
Instructor: Professor Syue-Yi Lyu from Department of Industrial Engineering and Management, Professor Hsuan-Ting Chang from Department of Electrical Engineering.
Leading the Student Team from Department of Industrial Engineering and Management to win the 2nd place in the management group.


Name of Technology	Character Recognition and Defect Detection of Metal
Developer of Technology	Department of Computer Science and Information Engineering Yi-Lung Lin, Associate Professor
Summary of Technology	Casting Since the metal surface is easy to reflect light, it is not easy to identify using traditional optical character detection. This technology is used to identify the characters of several English/number symbols on the control valve. The symbols include numbers 0 to 9 and English letters A to Z. The technology that has been used includes image preprocessing, deep convolution layer, time series layer, and connectionist temporal classification layer. Considering the field application, it is designed as a lightweight model running on the mobile phone, and a set of character optical detection systems that integrate computer vision. This technology reduces the identification time and improves the accuracy of identification, which is convenient for subsequent application in product inventory management and production history filing after production is completed. Technical characteristic: 1. Digital management of products traceability 2. Reducing the working hours for field personnel to input data 3. Increasing the efficiency of the assembly and shipping process 4. Improving the production history system


Name of Technology	Application of Hyperspectral Smart Agriculture in Food Safety Taking Eggs as Examples
Developer of Technology	Department of Computer Science and Information Engineering Shih-Yu Chen, Associate Professor
Summary of Technology	This technology uses Snapshot to take a hyperspectral image of egg defects and uses a line scan camera to take a picture of egg freshness. The obtained hyperspectral image is processed and trained using an AI depth learning algorithm. In terms of prediction speed, this technology can achieve real-time identification (3.23 ms/image), and the overall accuracy of the two classifications can reach more than 95%. Technical characteristic: 1. Non-invasive: Using the non-invasive hyperspectral camera 2. Real-time: Conducting real-time analysis by AI depth learning algorithm. Accuracy can reach more than 95% and the prediction time of one image only takes 3.23ms. 3. Economize manpower: Saving the manpower of traditional manual sections. 4. Increase production: Long-running


Name of Technology	AI-based Textile Defect Inspection
Developer of Technology	Department of Computer Science and Information Engineering Chien-Chou Lin, Professor
Summary of Technology	Generative adversarial network model is first built and defect identification/location network is used to find the location of defects. The degree of automation of textile defect detection technology is significantly upgraded. An algorithm is designed to improve the accuracy of identification. The defects are located in the images and the corresponding locations of the textile and defects are recorded in real time for later examination and review. This technique is also useful in ensuring the areas of textile with defects are avoided during the cutting process. An identification accuracy of higher than 95% is achieved.


Name of Technology	Industry 4.0 Connected Intelligent Ball Screw
Developer of Technology	Department of Computer Science and Information Engineering Ching-Lung Chang, Professor
Summary of Technology	The performance of ball screws can be effectively monitored by integrating the hybrid sensor for vibration and temperature with algorithm. The user is able to monitor the condition of each work station in real time on remote web pages. Based on the results, timely maintenance can be arranged to avoid unexpected shutdown. Other benefits include high equipment availability and energy efficiency. Intelligent ball screw diagnosis: Vibration alert – Warning signals are triggered as abnormal vibration occurs in order to ensure the normal operation of the ball screws. The incident records are logged as well. Lifetime pre-diagnosis – The online pre-diagnosis enables ball screw health monitoring, facilitates maintenance arrangement and avoids emergency shutdown. Intelligent lubrication – The automatic lubrication ensures worker safety and avoids shutdown of ball screws caused by insufficient lubrication. This condition-based lubrication approach is cost effective and environmentally friendly.


Name of Technology	Agricultural Land Survey Aiot Application and Vehicle Integrated System
Developer of Technology	Bachelor Program in Interdisciplinary Studies Wang Szu-Hong, Project-Appointed Assistant Professor


Name of Technology	Vehicle Surround View Display System with Free Viewing Function (AVM)
Developer of Technology	Department of Electronic Engineering Ching-Lung Su, Associate Professor
Summary of Technology	4 optical wide-angle fisheye lenses are used to provide a panoramic view of the vehicle, showing high-resolution images of the entire vehicle from above and at any angle of view. When parking and reversing, obstacles around the vehicle can be inspected without blind spot, improving safety and protection.


Name of Technology	Indoors Gait Positioning System (Indoors GPS)
Developer of Technology	Department of Computer Science and Information Engineering Wen-Fong Wang, Associate Professor
Summary of Technology	The indoors GPS applies the cell-phone built-in sensors (accelerometer, magnetometer, gyroscope, etc.) with dead reckoning algorithms to locate users, who stay in a complex indoors separated space. This novel idea has been developed in a cell-phone user APP. This app has the functions of service initialization, indoor navigation, check-in, and more.


Name of Technology	Mowing robot
Developer of Technology	Department of Computer Science and Information Engineering Ching-Lung Chang, Professor
Summary of Technology	Embedded platform, combined with RTK-GPS, 9-axis sensor and the Kalman filter, PID control, ultrasonic sensing, image recognition and other technologies. Create a mowing robot with precise autonomous mowing and obstacle avoidance capability. Relevant technologies can be transferred to achieve automatic mowing and save manpower. It can be applied to lawn finishing in campus, parks, homes, etc.
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Name of Technology	Intelligent Trash Can Featuring Patrolling and Surveillance
Developer of Technology	Department of Electrical Engineering Chian-C. Ho, Associate Professor
Summary of Technology	Traditional trash cans are usually installed in the out-of-the-way dead corners so that people are often littering the trash anywhere because of urgency or inconvenience. This work “Intelligent Trash Can Featuring Patrolling and Surveillance” can collect the trach proactively from people so as to improve the effectiveness and efficiency of cleaning service. On the other hand, traditional security surveillance cameras are usually installed on the ceiling corners or crossways so that there are still many dead spaces and security loopholes to be monitored. This work can patrol and inspect proactively so as to improve the effectiveness and efficiency of surveillance service.

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No. 123, Section 3, University Road, Douliu City, Yunlin County (3F-AI304/AI305,Dream Hub Building)
Tel: 05-5342601 ext. 2776-2780　05-5524539